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Sample records for model unconscious semantic

  1. Unconscious Semantic Activation Depends on Feature-Specific Attention Allocation

    Science.gov (United States)

    Spruyt, Adriaan; De Houwer, Jan; Everaert, Tom; Hermans, Dirk

    2012-01-01

    We examined whether semantic activation by subliminally presented stimuli is dependent upon the extent to which participants assign attention to specific semantic stimulus features and stimulus dimensions. Participants pronounced visible target words that were preceded by briefly presented, masked prime words. Both affective and non-affective…

  2. Models of reality : the unconscious tattletale.

    Energy Technology Data Exchange (ETDEWEB)

    Brown-VanHoozer, S. A.; VanHoozer, W. R.

    2000-08-29

    Humans are constantly subjected to enormous amounts of information greatly exceeding our conscious ability to sense fully experiences vis-a-vis reality. As a consequence, we assimilate this vast array of information at the unconscious level so it can later be considered useful during the process of identifying belief systems and behaviors for learning, decision-making, memory, language, and knowledge. These assimilations are ordered using internal strategies that can be externally observed as analog feedback behavior(s) from an individual's unconscious. These can then be concisely expressed in models for application regarding effective choices in decision-making and learning strategies, memory access, and the actualization of other understandings and applied as knowledge. How we can learn from the unconscious is the focus of this paper.

  3. Unconscious perception: a model-based approach to method and evidence.

    Science.gov (United States)

    Snodgrass, Michael; Bernat, Edward; Shevrin, Howard

    2004-07-01

    Unconscious perceptual effects remain controversial because it is hard to rule out alternative conscious perception explanations for them. We present a novel methodological framework, stressing the centrality of specifying the single-process conscious perception model (i.e., the null hypothesis). Various considerations, including those of SDT (Macmillan & Creelman, 1991), suggest that conscious perception functions hierarchically, in such a way that higher level effects (e.g., semantic priming) should not be possible without lower level discrimination (i.e., detection and identification). Relatedly, alternative conscious perception accounts (as well as the exhaustiveness, null sensitivity, and exclusiveness problems-Reingold & Merikle, 1988, 1990) predict positive relationships between direct and indirect measures. Contrariwise, our review suggests that negative and/or nonmonotonic relationships are found, providing strong evidence for unconscious perception and further suggesting that conscious and unconscious perceptual influences are functionally exclusive (cf. Jones, 1987), in such a way that the former typically override the latter when both are present. Consequently, unconscious perceptual effects manifest reliably only when conscious perception is completely absent, which occurs at the objective detection (but not identification) threshold.

  4. Quantum-like Model of Unconscious-Conscious Dynamics

    Directory of Open Access Journals (Sweden)

    Andrei eKhrennikov

    2015-08-01

    Full Text Available We present a quantum-like model of sensation-perception dynamics (originated in Helmholtz theory of unconscious inference based on the theory of quantum apparatuses and instruments. We illustrate our approach with the model of bistable perception of a particular ambiguous figure, the Schroder stair. This is a concrete model for unconscious and conscious processing of information and their interaction. The starting point of our quantum-like journey was the observation that perception dynamics is essentially contextual which implies impossibility of (straightforward embedding of experimental statistical data in the classical (Kolmogorov, 1933framework of probability theory. This motivates application of nonclassical probabilistic schemes. And the quantum formalism provides a variety of the well approved and mathematically elegant probabilistic schemes to handle results of measurements. The theory of quantum apparatuses and instruments is the most general quantum scheme describing measurements and it is natural to explore it to model the sensation-perception dynamics. In particular, this theory provides the scheme of indirect quantum measurements which we apply to model unconscious inference leading to transition from sensations to perceptions.

  5. Survey of semantic modeling techniques

    Energy Technology Data Exchange (ETDEWEB)

    Smith, C.L.

    1975-07-01

    The analysis of the semantics of programing languages was attempted with numerous modeling techniques. By providing a brief survey of these techniques together with an analysis of their applicability for answering semantic issues, this report attempts to illuminate the state-of-the-art in this area. The intent is to be illustrative rather than thorough in the coverage of semantic models. A bibliography is included for the reader who is interested in pursuing this area of research in more detail.

  6. Survey of semantic modeling techniques

    Energy Technology Data Exchange (ETDEWEB)

    Smith, C.L.

    1975-07-01

    The analysis of the semantics of programing languages was attempted with numerous modeling techniques. By providing a brief survey of these techniques together with an analysis of their applicability for answering semantic issues, this report attempts to illuminate the state-of-the-art in this area. The intent is to be illustrative rather than thorough in the coverage of semantic models. A bibliography is included for the reader who is interested in pursuing this area of research in more detail.

  7. A semantic space for modeling children's semantic memory

    CERN Document Server

    Denhière, Guy; Bellissens, Cédrick; Jhean, Sandra

    2008-01-01

    The goal of this paper is to present a model of children's semantic memory, which is based on a corpus reproducing the kinds of texts children are exposed to. After presenting the literature in the development of the semantic memory, a preliminary French corpus of 3.2 million words is described. Similarities in the resulting semantic space are compared to human data on four tests: association norms, vocabulary test, semantic judgments and memory tasks. A second corpus is described, which is composed of subcorpora corresponding to various ages. This stratified corpus is intended as a basis for developmental studies. Finally, two applications of these models of semantic memory are presented: the first one aims at tracing the development of semantic similarities paragraph by paragraph; the second one describes an implementation of a model of text comprehension derived from the Construction-integration model (Kintsch, 1988, 1998) and based on such models of semantic memory.

  8. Executive control over unconscious cognition: attentional sensitization of unconscious information processing.

    Science.gov (United States)

    Kiefer, Markus

    2012-01-01

    Unconscious priming is a prototypical example of an automatic process, which is initiated without deliberate intention. Classical theories of automaticity assume that such unconscious automatic processes occur in a purely bottom-up driven fashion independent of executive control mechanisms. In contrast to these classical theories, our attentional sensitization model of unconscious information processing proposes that unconscious processing is susceptible to executive control and is only elicited if the cognitive system is configured accordingly. It is assumed that unconscious processing depends on attentional amplification of task-congruent processing pathways as a function of task sets. This article provides an overview of the latest research on executive control influences on unconscious information processing. I introduce refined theories of automaticity with a particular focus on the attentional sensitization model of unconscious cognition which is specifically developed to account for various attentional influences on different types of unconscious information processing. In support of the attentional sensitization model, empirical evidence is reviewed demonstrating executive control influences on unconscious cognition in the domains of visuo-motor and semantic processing: subliminal priming depends on attentional resources, is susceptible to stimulus expectations and is influenced by action intentions and task sets. This suggests that even unconscious processing is flexible and context-dependent as a function of higher-level executive control settings. I discuss that the assumption of attentional sensitization of unconscious information processing can accommodate conflicting findings regarding the automaticity of processes in many areas of cognition and emotion. This theoretical view has the potential to stimulate future research on executive control of unconscious processing in healthy and clinical populations.

  9. Executive control over unconscious cognition: Attentional sensitization of unconscious information processing

    Directory of Open Access Journals (Sweden)

    Markus eKiefer

    2012-03-01

    Full Text Available Unconscious priming is a prototypical example of an automatic process, which is initiated without deliberate intention. Classical theories of automaticity assume that such unconscious automatic processes occur in a purely bottom-up driven fashion independent of attentional control mechanisms. In contrast to these classical theories, our attentional sensitization model of unconscious information processing proposes that unconscious processing is susceptible to attentional top-down control and is only elicited if the cognitive system is configured accordingly. It is assumed that unconscious processing depends on attentional amplification of task-congruent processing pathways. This article provides an overview of the latest research on executive control influences on unconscious information processing. I introduce refined theories of automaticity with a particular focus on the attentional sensitization model of unconscious cognition which is specifically developed to account for various attentional influences on different types of unconscious information processing. In support of the attentional sensitization model, empirical evidence is reviewed demonstrating attentional top-down influences on unconscious cognition in the domains of visuo-motor, semantic and emotional processing: Subliminal priming depends on attentional resources, is susceptible to stimulus expectations and is influenced by action intentions and task sets. This suggests that even unconscious processing is flexible and context-dependent as a function of higher-level executive control settings. It is discussed that the assumption of attentional sensitization of unconscious information processing can accommodate conflicting findings regarding the automaticity of processes in many areas. This theoretical view has the potential to stimulate future research on the cognitive control of unconscious processing in healthy and clinical populations.

  10. Semantic Web status model

    CSIR Research Space (South Africa)

    Gerber, AJ

    2006-06-01

    Full Text Available for reasoning systems [Bech- hofer et al., 2004; McGuinness and van Harmelen, 2004; Smith et al., 2004]. DL is a set of knowledge representation formalisms with semantic characterisation based on stan- dard first-order logics. DL offers a formal foundation... is a knowledge representation language capturing the syntax (ontology) as well as the semantics (rules) of a specific domain [McGuin- ness et al., 2002; McGuinness and van Harmelen, 2004]. Currently, OWL is the W3C technology representing...

  11. Developing Semantic Business Model for VO Construction on Semantic Grid

    Institute of Scientific and Technical Information of China (English)

    CHU Wang; QIAN Depei

    2006-01-01

    This paper combines semantic web technology with business modeling and yields semantic business model that is semantically described in terms of roles and relationships. The semantic business model can be used to discover grid services by means of automation tools. The gap between business goals and grid services is bridged by role relationships and compositions of them, so that the virtual organization evolution is supported effectively. Semantic business model can support virtual organization validation at design stage rather than at run-time stage. The designers can animate their business model and make initial assessment of what interactions should occur between roles and in which order. The users can verify whether the grid service compositions satisfy business goals.

  12. Two Language Models Using Chinese Semantic Parsing

    Institute of Scientific and Technical Information of China (English)

    LI Mingqin; WANG Xia; WANG Zuoying

    2006-01-01

    This paper presents two language models that utilize a Chinese semantic dependency parsing technique for speech recognition. The models are based on a representation of the Chinese semantic structure with dependency relations. A semantic dependency parser was described to automatically tag the semantic class for each word with 90.9% accuracy and parse the sentence semantic dependency structure with 75.8% accuracy. The Chinese semantic parsing technique was applied to structure language models to develop two language models, the semantic dependency model (SDM) and the headword trigram model (HTM). These language models were evaluated using Chinese speech recognition. The experiments show that both models outperform the word trigram model in terms of the Chinese character recognition error rate.

  13. The mind beyond our immediate awareness: Freudian, Jungian, and cognitive models of the unconscious.

    Science.gov (United States)

    Ekstrom, Soren R

    2004-11-01

    Several branches of cognitive science now focus on the nature of the unconscious. This paper explores some of the findings and models from this research. By introducing formulations based on non-clinical data, the cognitive scientists--in neural linguistics, computational modelling, and neuroscience--may depart from the older psychoanalytic formulations. An understanding of unconscious neural processes is nevertheless emerging showing how synapses are modified by experience and how learning, conscious and unconscious, is due to this important aspect of brain plasticity. Freud and Jung's formulations about the unconscious psyche, representing the main tenets of depth psychology, are also based on a conception of the mind as extending beyond immediate awareness. However, their models are more hypothetical in that their data, almost exclusively, come from treatments of psychotherapy patients and their verbal accounts. So how do these two conceptions of the unconscious match, where do they differ? And how does the neural understanding in the present research support theories and practices of analytic treatments?

  14. A comparison of signal detection theory to the objective threshold/strategic model of unconscious perception.

    Science.gov (United States)

    Haase, Steven J; Fisk, Gary D

    2011-08-01

    A key problem in unconscious perception research is ruling out the possibility that weak conscious awareness of stimuli might explain the results. In the present study, signal detection theory was compared with the objective threshold/strategic model as explanations of results for detection and identification sensitivity in a commonly used unconscious perception task. In the task, 64 undergraduate participants detected and identified one of four briefly displayed, visually masked letters. Identification was significantly above baseline (i.e., proportion correct > .25) at the highest detection confidence rating. This result is most consistent with signal detection theory's continuum of sensory states and serves as a possible index of conscious perception. However, there was limited support for the other model in the form of a predicted "looker's inhibition" effect, which produced identification performance that was significantly below baseline. One additional result, an interaction between the target stimulus and type of mask, raised concerns for the generality of unconscious perception effects.

  15. Unconscious fantasy as a special class of mental representation: a contribution to a model of mind.

    Science.gov (United States)

    Erreich, Anne

    2015-04-01

    Philosophers of mind and cognitive psychologists have proposed that "mind" consists of myriad mental representations, namely, conscious and unconscious representations of belief/desire intentions. It is argued here that unconscious fantasies constitute a subset of the domain of mental representations, those concerned with conflicting wishes, affects, and defensive maneuvers. This proposal anchors the unconscious fantasy construct in a model of mind that accords with contemporary academic views in cognitive and developmental psychology and philosophy of mind, thus allowing psychoanalysts to enter into dialogue with those disciplines. Given this formulation, unconscious fantasy might well serve as a theoretical construct that applies to a large group of theories that share certain criteria regarding mentation. An analyst would then be at liberty to commingle insights from a menu of different theories without committing metatheoretical malpractice, resulting in a principled version of theoretical pluralism. Published case material from Kleinian, close process monitoring, and self psychological perspectives demonstrates how this redefined unconscious fantasy construct can encompass two major types of interventions that analysts make: content and process interpretations.

  16. Semantic models for adaptive interactive systems

    CERN Document Server

    Hussein, Tim; Lukosch, Stephan; Ziegler, Jürgen; Calvary, Gaëlle

    2013-01-01

    Providing insights into methodologies for designing adaptive systems based on semantic data, and introducing semantic models that can be used for building interactive systems, this book showcases many of the applications made possible by the use of semantic models.Ontologies may enhance the functional coverage of an interactive system as well as its visualization and interaction capabilities in various ways. Semantic models can also contribute to bridging gaps; for example, between user models, context-aware interfaces, and model-driven UI generation. There is considerable potential for using

  17. Integrated Semantic Similarity Model Based on Ontology

    Institute of Scientific and Technical Information of China (English)

    LIU Ya-Jun; ZHAO Yun

    2004-01-01

    To solve the problem of the inadequacy of semantic processing in the intelligent question answering system, an integrated semantic similarity model which calculates the semantic similarity using the geometric distance and information content is presented in this paper.With the help of interrelationship between concepts, the information content of concepts and the strength of the edges in the ontology network, we can calculate the semantic similarity between two concepts and provide information for the further calculation of the semantic similarity between user's question and answers in knowlegdge base.The results of the experiments on the prototype have shown that the semantic problem in natural language processing can also be solved with the help of the knowledge and the abundant semantic information in ontology.More than 90% accuracy with less than 50 ms average searching time in the intelligent question answering prototype system based on ontology has been reached.The result is very satisfied.

  18. Challenges in Modelling of Environmental Semantics

    NARCIS (Netherlands)

    Athanasiadis, I.N.

    2015-01-01

    Modelling environmental semantics is a prerequisite for model and data interoperabilty and reuse, both essential for integrated modelling. This paper previews a landscape where integrated modelling activities are performed in a virtual environmental information space, and identifies challenges impos

  19. Unconscious advertising effects

    NARCIS (Netherlands)

    Moorman, M.; Belch, M.A.; Belch, G.E.

    2011-01-01

    Most traditional advertising effect models are based on the premise that advertising is attended to and processed consciously. However, recent neuroscientific research shows that most information is unconsciously attended to, processed, and stored in memory. The concept of unconscious processing is

  20. Unconscious advertising effects

    NARCIS (Netherlands)

    Moorman, M.; Belch, M.A.; Belch, G.E.

    2011-01-01

    Most traditional advertising effect models are based on the premise that advertising is attended to and processed consciously. However, recent neuroscientific research shows that most information is unconsciously attended to, processed, and stored in memory. The concept of unconscious processing is

  1. Quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, E.J.A.

    2011-01-01

    Semantic IS (Information Systems) standards are essential for achieving interoperability between organizations. However a recent survey suggests that not the full benefits of standards are achieved, due to the quality issues. This paper presents a quality model for semantic IS standards, that should

  2. Biophysical Modeling of Alpha Rhythms During Halothane-Induced Unconsciousness.

    Science.gov (United States)

    Vijayan, Sujith; Ching, ShiNung; Purdon, Patrick L; Brown, Emery N; Kopell, Nancy J

    2013-01-01

    During the induction of general anesthesia there is a shift in power from the posterior regions of the brain to the frontal cortices; this shift in power is called anteriorization. For many anesthetics, a prominent feature of anteriorization is a shift specifically in the alpha band (8-13 Hz) from posterior to frontal cortices. Here we present a biophysical computational model that describes thalamocortical circuit-level dynamics underlying anteriorization of the alpha rhythm in the case of halothane. Halothane potentiates GABAA and increases potassium leak conductances. According to our model, an increase in potassium leak conductances hyperpolarizes and silences the high-threshold thalamocortical (HTC) cells, a specialized subset of thalamocortical cells that fire at the alpha frequency at relatively depolarized membrane potentials (>-60 mV) and are thought to be the generators of quiet awake occipital alpha. At the same time the potentiation of GABAA imposes an alpha time scale on both the cortical and the thalamic component of the frontal portion of our model. The alpha activity in the frontal component is further strengthened by reciprocal thalamocortical feedback. Thus, we argue that the dual molecular targets of halothane induce the anteriorization of the alpha rhythm by increasing potassium leak conductances, which abolishes occipital alpha, and by potentiating GABAA, which induces frontal alpha. These results provide a computational modeling formulation for studying highly detailed biophysical mechanisms of anesthetic action in silico.

  3. Model Mapping Approach Based on Ontology Semantics

    Directory of Open Access Journals (Sweden)

    Jinkui Hou

    2013-09-01

    Full Text Available The mapping relations between different models are the foundation for model transformation in model-driven software development. On the basis of ontology semantics, model mappings between different levels are classified by using structural semantics of modeling languages. The general definition process for mapping relations is explored, and the principles of structure mapping are proposed subsequently. The approach is further illustrated by the mapping relations from class model of object oriented modeling language to the C programming codes. The application research shows that the approach provides a theoretical guidance for the realization of model mapping, and thus can make an effective support to model-driven software development

  4. FROM 3D MODEL DATA TO SEMANTICS

    Directory of Open Access Journals (Sweden)

    My Abdellah Kassimi

    2012-01-01

    Full Text Available The semantic-based 3D models retrieval systems have become necessary since the increase of 3D modelsdatabases. In this paper, we propose a new method for the mapping problem between 3D model data andsemantic data involved in semantic based retrieval for 3D models given by polygonal meshes. First, wefocused on extracting invariant descriptors from the 3D models and analyzing them to efficient semanticannotation and to improve the retrieval accuracy. Selected shape descriptors provide a set of termscommonly used to describe visually a set of objects using linguistic terms and are used as semanticconcept to label 3D model. Second, spatial relationship representing directional, topological anddistance relationships are used to derive other high-level semantic features and to avoid the problem ofautomatic 3D model annotation. Based on the resulting semantic annotation and spatial concepts, anontology for 3D model retrieval is constructed and other concepts can be inferred. This ontology is usedto find similar 3D models for a given query model. We adopted the query by semantic example approach,in which the annotation is performed mostly automatically. The proposed method is implemented in our3D search engine (SB3DMR, tested using the Princeton Shape Benchmark Database.

  5. Real-world semantics of conceptual models

    NARCIS (Netherlands)

    Wieringa, Roel

    2011-01-01

    Conceptual modelling is the addition of more real-world semantics to the computations performed by a computer. It is argued that in a proper engineering approach to computing, three kinds of conceptual modelling need to be distinguished, (1) modelling a software solution, (2) modelling the domain in

  6. [A medical image semantic modeling based on hierarchical Bayesian networks].

    Science.gov (United States)

    Lin, Chunyi; Ma, Lihong; Yin, Junxun; Chen, Jianyu

    2009-04-01

    A semantic modeling approach for medical image semantic retrieval based on hierarchical Bayesian networks was proposed, in allusion to characters of medical images. It used GMM (Gaussian mixture models) to map low-level image features into object semantics with probabilities, then it captured high-level semantics through fusing these object semantics using a Bayesian network, so that it built a multi-layer medical image semantic model, aiming to enable automatic image annotation and semantic retrieval by using various keywords at different semantic levels. As for the validity of this method, we have built a multi-level semantic model from a small set of astrocytoma MRI (magnetic resonance imaging) samples, in order to extract semantics of astrocytoma in malignant degree. Experiment results show that this is a superior approach.

  7. Semantic Web and Model-Driven Engineering

    CERN Document Server

    Parreiras, Fernando S

    2012-01-01

    The next enterprise computing era will rely on the synergy between both technologies: semantic web and model-driven software development (MDSD). The semantic web organizes system knowledge in conceptual domains according to its meaning. It addresses various enterprise computing needs by identifying, abstracting and rationalizing commonalities, and checking for inconsistencies across system specifications. On the other side, model-driven software development is closing the gap among business requirements, designs and executables by using domain-specific languages with custom-built syntax and se

  8. Computing the unconscious.

    Science.gov (United States)

    Dougherty, Stephen

    2010-01-01

    This essay examines the unconscious as modeled by cognitive science and compares it to the psychoanalytic unconscious. In making this comparison, the author underscores the important but usually overlooked fact that computational psychology and psychoanalytic theory are both varieties of posthumanism. He argues that if posthumanism is to advance a vision for our future that is no longer fixated on a normative image of the human, then its own normative claims about the primacy of Darwinian functioning must be disrupted and undermined through a renewed emphasis on its Freudian heritage.

  9. Uncertainty modeling process for semantic technology

    Directory of Open Access Journals (Sweden)

    Rommel N. Carvalho

    2016-08-01

    Full Text Available The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While the literature has been growing on formalisms for representing uncertainty in ontologies, there remains little guidance in the knowledge engineering literature for how to design probabilistic ontologies. To address the gap, this paper presents the Uncertainty Modeling Process for Semantic Technology (UMP-ST, a new methodology for modeling probabilistic ontologies. To explain how the methodology works and to verify that it can be applied to different scenarios, this paper describes step-by-step the construction of a proof-of-concept probabilistic ontology. The resulting domain model can be used to support identification of fraud in public procurements in Brazil. While the case study illustrates the development of a probabilistic ontology in the PR-OWL probabilistic ontology language, the methodology is applicable to any ontology formalism that properly integrates uncertainty with domain semantics.

  10. Semantic Image Segmentation with Contextual Hierarchical Models.

    Science.gov (United States)

    Seyedhosseini, Mojtaba; Tasdizen, Tolga

    2016-05-01

    Semantic segmentation is the problem of assigning an object label to each pixel. It unifies the image segmentation and object recognition problems. The importance of using contextual information in semantic segmentation frameworks has been widely realized in the field. We propose a contextual framework, called contextual hierarchical model (CHM), which learns contextual information in a hierarchical framework for semantic segmentation. At each level of the hierarchy, a classifier is trained based on downsampled input images and outputs of previous levels. Our model then incorporates the resulting multi-resolution contextual information into a classifier to segment the input image at original resolution. This training strategy allows for optimization of a joint posterior probability at multiple resolutions through the hierarchy. Contextual hierarchical model is purely based on the input image patches and does not make use of any fragments or shape examples. Hence, it is applicable to a variety of problems such as object segmentation and edge detection. We demonstrate that CHM performs at par with state-of-the-art on Stanford background and Weizmann horse datasets. It also outperforms state-of-the-art edge detection methods on NYU depth dataset and achieves state-of-the-art on Berkeley segmentation dataset (BSDS 500).

  11. Register Allocation By Model Transformer Semantics

    CERN Document Server

    Wang, Yin

    2012-01-01

    Register allocation has long been formulated as a graph coloring problem, coloring the conflict graph with physical registers. Such a formulation does not fully capture the goal of the allocation, which is to minimize the traffic between registers and memory. Linear scan has been proposed as an alternative to graph coloring, but in essence, it can be viewed as a greedy algorithm for graph coloring: coloring the vertices not in the order of their degrees, but in the order of their occurence in the program. Thus it suffers from almost the same constraints as graph coloring. In this article, I propose a new method of register allocation based on the ideas of model transformer semantics (MTS) and static cache replacement (SCR). Model transformer semantics captures the semantics of registers and the stack. Static cache replacement relaxes the assumptions made by graph coloring and linear scan, aiming directly at reducing register-memory traffic. The method explores a much larger solution space than that of graph c...

  12. Metaphor Modeling on the Semantic Web

    Science.gov (United States)

    Czejdo, Bogdan D.; Biguenet, Jonathan; Biguenet, John

    Metaphor is a high-level abstract concept that can be an important part of active conceptual modeling. In this paper, we use the extended Unified Modeling Language (UML) for metaphor modeling. We discuss how to create UML diagrams to capture knowledge about metaphors. The metaphor-based processing system on the Semantic Web can support new query/search operations. Such a computer system can be used for a broad spectrum of applications such as predicting surprises (e.g., terrorist attacks) or generating automatically new innovations.

  13. Scientific Theories, Models and the Semantic Approach

    Directory of Open Access Journals (Sweden)

    Décio Krause

    2007-12-01

    Full Text Available According to the semantic view, a theory is characterized by a class of models. In this paper, we examine critically some of the assumptions that underlie this approach. First, we recall that models are models of something. Thus we cannot leave completely aside the axiomatization of the theories under consideration, nor can we ignore the metamathematics used to elaborate these models, for changes in the metamathematics often impose restrictions on the resulting models. Second, based on a parallel between van Fraassen’s modal interpretation of quantum mechanics and Skolem’s relativism regarding set-theoretic concepts, we introduce a distinction between relative and absolute concepts in the context of the models of a scientific theory. And we discuss the significance of that distinction. Finally, by focusing on contemporary particle physics, we raise the question: since there is no general accepted unification of the parts of the standard model (namely, QED and QCD, we have no theory, in the usual sense of the term. This poses a difficulty: if there is no theory, how can we speak of its models? What are the latter models of? We conclude by noting that it is unclear that the semantic view can be applied to contemporary physical theories.

  14. Modeling the Relationship between Texture Semantics and Textile Images

    Directory of Open Access Journals (Sweden)

    Xiaohui Wang

    2011-09-01

    Full Text Available Texture semantics, which is the kind of feelings that the texture feature of an image would arouse in people, is important in texture analysis. In this paper, we study the relationship between texture semantics and textile images, and propose a novel parametric mapping model to predict texture semantics from textile images. To represent rich texture semantics and enable it to participate in computation, 2D continuous semantic space, where the axes correspond to hard-soft and warm-cool, is first adopted to quantitatively describe texture semantics. Then texture features of textile images are extracted using Gabor decomposition. Finally, the mapping model between texture features and texture semantics in the semantic space is built using three different methods: linear regression, k-nearest neighbor (KNN and multi-layered perceptron (MLP. The performance of the proposed mapping model is evaluated with a dataset of 1352 textile images. The results confirm that the mapping model is effective and especially KNN and MLP reach the good performance. We further apply the mapping model to two applications: automatic textile image annotation with texture semantics and textile image search based on texture semantics. The subjective experimental results are consistent with human perception, which verifies the effectiveness of the proposed mapping model. The proposed model and its applications can be applied to various automation systems in commercial textile industry.

  15. LEARNING SEMANTICS-ENHANCED LANGUAGE MODELS APPLIED TO UNSUEPRVISED WSD

    Energy Technology Data Exchange (ETDEWEB)

    VERSPOOR, KARIN [Los Alamos National Laboratory; LIN, SHOU-DE [Los Alamos National Laboratory

    2007-01-29

    An N-gram language model aims at capturing statistical syntactic word order information from corpora. Although the concept of language models has been applied extensively to handle a variety of NLP problems with reasonable success, the standard model does not incorporate semantic information, and consequently limits its applicability to semantic problems such as word sense disambiguation. We propose a framework that integrates semantic information into the language model schema, allowing a system to exploit both syntactic and semantic information to address NLP problems. Furthermore, acknowledging the limited availability of semantically annotated data, we discuss how the proposed model can be learned without annotated training examples. Finally, we report on a case study showing how the semantics-enhanced language model can be applied to unsupervised word sense disambiguation with promising results.

  16. Web Service Description and Discovery Based on Semantic Model

    Institute of Scientific and Technical Information of China (English)

    YANG Xuemei; XU Lizhen; DONG Yisheng; WANG Yongli

    2006-01-01

    A novel semantic model of Web service description and discovery was proposed through an extension for profile model of Web ontology language for services (OWL-S) in this paper.Similarity matching of Web services was implemented through computing weighted summation of semantic similarity value based on specific domain ontology and dynamical satisfy extent evaluation for quality of service (QoS).Experiments show that the provided semantic matching model is efficient.

  17. Harmonization of semantic data models of electric data standards

    OpenAIRE

    Nieves Sánchez, Juan Carlos; Ortega de Mues, Mariano; Espinoza, Angelina; Rodríguez Álvarez, Daniel

    2011-01-01

    According to the Electric Power Research Institute (EPRI) a common semantics model is necessary for achieving interoperability in the Smart Grid vision. In this paper, we present an outline of two influential International Electrotech-nical Commission Standards (CIM and IEC 61850) for building a common semantic model in a Smart Grid vision. In addition, we revise two representative approaches suggested by EPRI for harmonizing these standards in a common semantic model. The pros and cons betwe...

  18. An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA.

    Science.gov (United States)

    Baars, Bernard J; Franklin, Stan

    2007-11-01

    While neural net models have been developed to a high degree of sophistication, they have some drawbacks at a more integrative, "architectural" level of analysis. We describe a "hybrid" cognitive architecture that is implementable in neuronal nets, and which has uniform brainlike features, including activation-passing and highly distributed "codelets," implementable as small-scale neural nets. Empirically, this cognitive architecture accounts qualitatively for the data described by Baars' Global Workspace Theory (GWT), and Franklin's LIDA architecture, including state-of-the-art models of conscious contents in action-planning, Baddeley-style Working Memory, and working models of episodic and semantic longterm memory. These terms are defined both conceptually and empirically for the current theoretical domain. The resulting architecture meets four desirable goals for a unified theory of cognition: practical workability, autonomous agency, a plausible role for conscious cognition, and translatability into plausible neural terms. It also generates testable predictions, both empirical and computational.

  19. Minimal Model Semantics for Sorted Constraint Representation

    Institute of Scientific and Technical Information of China (English)

    廖乐健; 史忠植

    1995-01-01

    Sorted constraint representation is a very useful representation in AI which combines class hierarchies and constraint networks.For such sorted constraint representation,a problem is how to generalize the idea of default inheritance to constraint network,where the attributes in a class or between different classes interact with each other via the network.To give a formal account for the defeasible reasoning in such representation,a general sorted constraint logic is proposed,and a minimal-model semantics for the logic is presented.

  20. Semantics and ambiguity of stochastic RNA family models.

    Science.gov (United States)

    Giegerich, Robert; Höner zu Siederdissen, Christian

    2011-01-01

    Stochastic models, such as hidden Markov models or stochastic context-free grammars (SCFGs) can fail to return the correct, maximum likelihood solution in the case of semantic ambiguity. This problem arises when the algorithm implementing the model inspects the same solution in different guises. It is a difficult problem in the sense that proving semantic nonambiguity has been shown to be algorithmically undecidable, while compensating for it (by coalescing scores of equivalent solutions) has been shown to be NP-hard. For stochastic context-free grammars modeling RNA secondary structure, it has been shown that the distortion of results can be quite severe. Much less is known about the case when stochastic context-free grammars model the matching of a query sequence to an implicit consensus structure for an RNA family. We find that three different, meaningful semantics can be associated with the matching of a query against the model--a structural, an alignment, and a trace semantics. Rfam models correctly implement the alignment semantics, and are ambiguous with respect to the other two semantics, which are more abstract. We show how provably correct models can be generated for the trace semantics. For approaches, where such a proof is not possible, we present an automated pipeline to check post factum for ambiguity of the generated models. We propose that both the structure and the trace semantics are worth-while concepts for further study, possibly better suited to capture remotely related family members.

  1. A Semantic Model Faced on the Uniform Product Knowledge Representation

    Institute of Scientific and Technical Information of China (English)

    JIAN Chengfeng; ZHANG Meiyu

    2006-01-01

    In order to realize the uniform knowledge representation including STEP and SGML, aimed at the defects of current methods, a new semantic model that is named XOEM+OWL is put forward. And then the correspondent mapping between STEP Schema Graph and OWL Schema Graph are build as Cos(sc,oc),so we can get the semantic pattern matching degree for the semantic representation on the product information. At last the example is presented.

  2. Open standard CMO for parametric modelling based on semantic web

    NARCIS (Netherlands)

    Bonsma, P.; Bonsma, I.; Zayakova, T.; Van Delft, A.; Sebastian, R.; Böhms, M.

    2015-01-01

    The Open Standard Concept Modelling Ontology (CMO) with Extensions makes it possible to store parametric modelling semantics and parametric geometry in a Semantic Web environment. The parametric and geometrical part of CMO with Extensions is developed within the EU project Proficient. The nature of

  3. An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations

    Science.gov (United States)

    Zhou, Mianwei; Bao, Shenghua; Wu, Xian; Yu, Yong

    This paper deals with the problem of exploring hierarchical semantics from social annotations. Recently, social annotation services have become more and more popular in Semantic Web. It allows users to arbitrarily annotate web resources, thus, largely lowers the barrier to cooperation. Furthermore, through providing abundant meta-data resources, social annotation might become a key to the development of Semantic Web. However, on the other hand, social annotation has its own apparent limitations, for instance, 1) ambiguity and synonym phenomena and 2) lack of hierarchical information. In this paper, we propose an unsupervised model to automatically derive hierarchical semantics from social annotations. Using a social bookmark service Del.icio.us as example, we demonstrate that the derived hierarchical semantics has the ability to compensate those shortcomings. We further apply our model on another data set from Flickr to testify our model's applicability on different environments. The experimental results demonstrate our model's efficiency.

  4. Semantic Modelling of Digital Forensic Evidence

    Science.gov (United States)

    Kahvedžić, Damir; Kechadi, Tahar

    The reporting of digital investigation results are traditionally carried out in prose and in a large investigation may require successive communication of findings between different parties. Popular forensic suites aid in the reporting process by storing provenance and positional data but do not automatically encode why the evidence is considered important. In this paper we introduce an evidence management methodology to encode the semantic information of evidence. A structured vocabulary of terms, ontology, is used to model the results in a logical and predefined manner. The descriptions are application independent and automatically organised. The encoded descriptions aim to help the investigation in the task of report writing and evidence communication and can be used in addition to existing evidence management techniques.

  5. Modeling Semantic and Structural Knowledge in Web Navigation

    Science.gov (United States)

    Juvina, Ion; van Oostendorp, Herre

    2008-01-01

    Research on cognitive modeling of information search and Web navigation emphasizes the importance of "information scent" (the relevance of semantic cues such as link labels and headings to a reader's goal; Pirolli & Card, 1999). This article shows that not only semantic but also structural knowledge is involved in navigating the Web (Juvina,…

  6. Towards a quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, E.J.A.; Soest, J. van

    2011-01-01

    This research focuses on developing a quality model for semantic Information System (IS) standards. A lot of semantic IS standards are available in different industries. Often these standards are developed by a dedicated organization. While these organizations have the goal of increasing interoperab

  7. Towards a quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, E.J.A.; Soest, J. van

    2012-01-01

    This research focuses on developing a quality model for semantic information system (IS) standards. A lot of semantic IS standards are available in different industries. Often these standards are developed by a dedicated organisation. While these organisations have the goal of increasing interoperab

  8. Semantics-preserving bag-of-words models and applications.

    Science.gov (United States)

    Wu, Lei; Hoi, Steven C H; Yu, Nenghai

    2010-07-01

    The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One critical limitation of existing BoW models is that much semantic information is lost during the codebook generation process, an important step of BoW. This is because the codebook generated by BoW is often obtained via building the codebook simply by clustering visual features in Euclidian space. However, visual features related to the same semantics may not distribute in clusters in the Euclidian space, which is primarily due to the semantic gap between low-level features and high-level semantics. In this paper, we propose a novel scheme to learn optimized BoW models, which aims to map semantically related features to the same visual words. In particular, we consider the distance between semantically identical features as a measurement of the semantic gap, and attempt to learn an optimized codebook by minimizing this gap, aiming to achieve the minimal loss of the semantics. We refer to such kind of novel codebook as semantics-preserving codebook (SPC) and the corresponding model as the Semantics-Preserving Bag-of-Words (SPBoW) model. Extensive experiments on image annotation and object detection tasks with public testbeds from MIT's Labelme and PASCAL VOC challenge databases show that the proposed SPC learning scheme is effective for optimizing the codebook generation process, and the SPBoW model is able to greatly enhance the performance of the existing BoW model.

  9. Semantic Web on Scope: A New Architectural Model for the Semantic Web

    Directory of Open Access Journals (Sweden)

    Haytham T. Al-Feel

    2008-01-01

    Full Text Available Problem Statement: Current web contains billions of documents and has many administrative problems and limitations; in addition to that the web content is still accessible only to humans. The solution to these problems is the Semantic Web. The Semantic Web is considered to be the extension for the current web. But there are problems facing the Semantic Web now, such as there is no clear architecture for it, there are four versions created by Tim Berners-Lee, but still up to now there is no agreement for one of these visions nor is there a clear picture for the relation between different layers inside this architecture and the associated technologies. The objectives of this study were to: (i Identify the weaknesses that existed in the previous architectures and (ii Reach a new architecture that corrects these weaknesses. Approach: This research uses the Qualitative Analysis Approach of Taylor and Renner, presents the four versions of the Semantic Web architecture, describing the function(s and status of each layer and associated technologies, evaluates them using Gerber evaluation method and determines other design principles needed to modify and adapt this architecture as a step toward an agreement for one Semantic Web architecture. Results: The design of a new model for the Semantic Web architecture depends on the idea of previous versions. Conclusion: As a step toward a unified architecture for the Semantic Web, our study of the Semantic Web architecture highlighted some weaknesses that existed in the previous architectures, modify, adapt and reach a new architecture that corrects these weaknesses.

  10. On a syntactic-semantic model with the locative case

    Directory of Open Access Journals (Sweden)

    Antonić Ivana

    2008-01-01

    Full Text Available The topic of this paper is a syntactic-semantic model whose distinctive element is the locative case with the preposition U (IN and the relevant feature (+ human being. This model is realized in three different variants - with the intransitive (A or transitive verb (B, where the nominative in the function of subject and the locative indicate different (B1 or the same (B2 referents. Furthermore, the verb belongs to a semantic class which denotes emerging, stimulation, duration, fading away, diminishing or change in the intensity, in principle, of any phenomenon, and concretely in this model such verbs appear in the collocational link with the nouns implying man's psychological, physiological or mental states, feelings or mood. With an adequate analytic procedure, all the three variants of this model are approached from the syntactic-semantic and pragmatic perspective. The paper points to the causative semantics of these structures, reduced to the metalinguistic formula 'make that X V', which confirms that the semantics of these verb-noun collocational links, syntactically speaking, condenses a complex two-member sentential structure represented by the semantically deficient verb (= causative component in the basic, matrix structure, and the complement clause with the conjunction DA (THAT and the basic verb. And precisely from this semantic feature there follows that the notion in the locative case semantically, actually, represents the BEARER of a physiological, physiological or mental state, feeling, mood, so that it represents the GRAMMATICAL SUBJECT of the corresponding basic subordinated predication whose exponent, actually, is the grammatical subject in the structure with the intransitive verb (or with the syntactically-semantically intransitive verb structure, that is the object in the structure with the transitive verb. Two possible semantic interpretations of this model are presented: the one related to the referential pointing to the

  11. A comprehensive operational semantics of the SCOOP programming model

    CERN Document Server

    Morandi, Benjamin; Meyer, Bertrand

    2011-01-01

    Operational semantics has established itself as a flexible but rigorous means to describe the meaning of programming languages. Oftentimes, it is felt necessary to keep a semantics small, for example to facilitate its use for model checking by avoiding state space explosion. However, omitting many details in a semantics typically makes results valid for a limited core language only, leaving a wide gap towards any real implementation. In this paper we present a full-fledged semantics of the concurrent object-oriented programming language SCOOP (Simple Concurrent Object-Oriented Programming). The semantics has been found detailed enough to guide an implementation of the SCOOP compiler and runtime system, and to detect and correct a variety of errors and ambiguities in the original informal specification and prototype implementation. In our formal specification, we use abstract data types with preconditions and axioms to describe the state, and introduce a number of special run-time operations to model the runti...

  12. Semantic Modeling and Retrieval of Dance Video Annotations

    CERN Document Server

    Kannan, Rajkumar

    2010-01-01

    Dance video is one of the important types of narrative videos with semantic rich content. This paper proposes a new meta model, Dance Video Content Model (DVCM) to represent the expressive semantics of the dance videos at multiple granularity levels. The DVCM is designed based on the concepts such as video, shot, segment, event and object, which are the components of MPEG-7 MDS. This paper introduces a new relationship type called Temporal Semantic Relationship to infer the semantic relationships between the dance video objects. Inverted file based index is created to reduce the search time of the dance queries. The effectiveness of containment queries using precision and recall is depicted. Keywords: Dance Video Annotations, Effectiveness Metrics, Metamodeling, Temporal Semantic Relationships.

  13. Semantics of Temporal Models with Multiple Temporal Dimensions

    DEFF Research Database (Denmark)

    Kraft, Peter; Sørensen, Jens Otto

    Semantics of temporal models with multi temporal dimensions are examined progressing from non-temporal models unto uni-temporal, and further unto bi- and tri-temporal models. An example of a uni-temporal model is the valid time model, an example of a bi-temporal model is the valid time/transactio......Semantics of temporal models with multi temporal dimensions are examined progressing from non-temporal models unto uni-temporal, and further unto bi- and tri-temporal models. An example of a uni-temporal model is the valid time model, an example of a bi-temporal model is the valid time....../transaction time model, and finally an example of a tri-temporal model is a model with valid time, decision time and transaction time dimensions. The semantics are at first specified at the highest conceptual level possible by a graphical notation. Next, the conceptual models are translated into lower level models...

  14. Efficient Approach for Semantic Web Searching Using Markov Model

    Directory of Open Access Journals (Sweden)

    Pradeep Salve

    2012-09-01

    Full Text Available The semantic search usually the web pages for the required information and filter the pages from semantic web searching unnecessary pages by using advanced algorithms. Web pages are vulnerable in answering intelligent semantic search from the user due to the confidence of their consequences on information obtainable in web pages. To get the trusted results semantic web search engines require searching for pages that maintain such information at some place including domain knowledge. The layered model of Semantic Web provides solution to this problem by providing semantic web search based on HMM for optimization of search engines tasks, specialty focusing on how to construct a new model structure to improve the extraction of web pages. We classify the search results using some search engines and some different search keywords provide a significant improvement in search accuracy. Semantic web is segmented from the elicited information of various websites based on their characteristic of semi-structure in order to improve the accuracy and efficiency of the transition matrix. Also, it optimizes the observation probability distribution and the estimation accuracy of state transition sequence by adopting the “voting strategy” and alter Viterbi algorithm. In this paper, we have presented a hybrid system that includes both hidden Markov models and rich markov model that showed the effectiveness of combining implicit search with rich Markov models for a recommender system.

  15. Categorical model of structural operational semantics for imperative language

    Directory of Open Access Journals (Sweden)

    William Steingartner

    2016-12-01

    Full Text Available Definition of programming languages consists of the formal definition of syntax and semantics. One of the most popular semantic methods used in various stages of software engineering is structural operational semantics. It describes program behavior in the form of state changes after execution of elementary steps of program. This feature makes structural operational semantics useful for implementation of programming languages and also for verification purposes. In our paper we present a new approach to structural operational semantics. We model behavior of programs in category of states, where objects are states, an abstraction of computer memory and morphisms model state changes, execution of a program in elementary steps. The advantage of using categorical model is its exact mathematical structure with many useful proved properties and its graphical illustration of program behavior as a path, i.e. a composition of morphisms. Our approach is able to accentuate dynamics of structural operational semantics. For simplicity, we assume that data are intuitively typed. Visualization and facility of our model is  not only  a  new model of structural operational semantics of imperative programming languages but it can also serve for education purposes.

  16. A Strongly Grounded Stable Model Semantics for Full Propositional Language

    OpenAIRE

    2012-01-01

    Answer set programming is one of the most praised frameworks for declarative programming in general and non-monotonic reasoning in particular. There has been many efforts to extend stable model semantics so that answer set programs can use a more extensive syntax. To such endeavor, the community of non-monotonic reasoning has introduced extensions such as equilibrium models and FLP semantics. However, both of these extensions suffer from two problems: intended models according to such extensi...

  17. Semantic-preload video model based on VOP coding

    Science.gov (United States)

    Yang, Jianping; Zhang, Jie; Chen, Xiangjun

    2013-03-01

    In recent years, in order to reduce semantic gap which exists between high-level semantics and low-level features of video when the human understanding image or video, people mostly try the method of video annotation where in signal's downstream, namely further (again) attach labels to the content in video-database. Few people focus on the idea that: Use limited interaction and the means of comprehensive segmentation (including optical technologies) from the front-end of collection of video information (i.e. video camera), with video semantics analysis technology and corresponding concepts sets (i.e. ontology) which belong in a certain domain, as well as story shooting script and the task description of scene shooting etc; Apply different-level semantic descriptions to enrich the attributes of video object and the attributes of image region, then forms a new video model which is based on Video Object Plan (VOP) Coding. This model has potential intellectualized features, and carries a large amount of metadata, and embedded intermediate-level semantic concept into every object. This paper focuses on the latter, and presents a framework of a new video model. At present, this new video model is temporarily named "Video Model of Semantic-Preloaded or Semantic-Preload Video Model (simplified into VMoSP or SPVM)". This model mainly researches how to add labeling to video objects and image regions in real time, here video object and image region are usually used intermediate semantic labeling, and this work is placed on signal's upstream (i.e. video capture production stage). Because of the research needs, this paper also tries to analyses the hierarchic structure of video, and divides the hierarchic structure into nine hierarchy semantic levels, of course, this nine hierarchy only involved in video production process. In addition, the paper also point out that here semantic level tagging work (i.e. semantic preloading) only refers to the four middle-level semantic. All in

  18. The Unconscious Mind.

    Science.gov (United States)

    Bargh, John A; Morsella, Ezequiel

    2008-01-01

    The unconscious mind is still viewed by many psychological scientists as the shadow of a "real" conscious mind, though there now exists substantial evidence that the unconscious is not identifiably less flexible, complex, controlling, deliberative, or action-oriented than is its counterpart. This "conscious-centric" bias is due in part to the operational definition within cognitive psychology that equates unconscious with subliminal. We review the evidence challenging this restricted view of the unconscious emerging from contemporary social cognition research, which has traditionally defined the unconscious in terms of its unintentional nature; this research has demonstrated the existence of several independent unconscious behavioral guidance systems: perceptual, evaluative, and motivational. From this perspective, it is concluded that in both phylogeny and ontogeny, actions of an unconscious mind precede the arrival of a conscious mind-that action precedes reflection.

  19. A COMPARISON OF SEMANTIC SIMILARITY MODELS IN EVALUATING CONCEPT SIMILARITY

    Directory of Open Access Journals (Sweden)

    Q. X. Xu

    2012-08-01

    Full Text Available The semantic similarities are important in concept definition, recognition, categorization, interpretation, and integration. Many semantic similarity models have been established to evaluate semantic similarities of objects or/and concepts. To find out the suitability and performance of different models in evaluating concept similarities, we make a comparison of four main types of models in this paper: the geometric model, the feature model, the network model, and the transformational model. Fundamental principles and main characteristics of these models are introduced and compared firstly. Land use and land cover concepts of NLCD92 are employed as examples in the case study. The results demonstrate that correlations between these models are very high for a possible reason that all these models are designed to simulate the similarity judgement of human mind.

  20. a Comparison of Semantic Similarity Models in Evaluating Concept Similarity

    Science.gov (United States)

    Xu, Q. X.; Shi, W. Z.

    2012-08-01

    The semantic similarities are important in concept definition, recognition, categorization, interpretation, and integration. Many semantic similarity models have been established to evaluate semantic similarities of objects or/and concepts. To find out the suitability and performance of different models in evaluating concept similarities, we make a comparison of four main types of models in this paper: the geometric model, the feature model, the network model, and the transformational model. Fundamental principles and main characteristics of these models are introduced and compared firstly. Land use and land cover concepts of NLCD92 are employed as examples in the case study. The results demonstrate that correlations between these models are very high for a possible reason that all these models are designed to simulate the similarity judgement of human mind.

  1. A Generic Evaluation Model for Semantic Web Services

    Science.gov (United States)

    Shafiq, Omair

    Semantic Web Services research has gained momentum over the last few Years and by now several realizations exist. They are being used in a number of industrial use-cases. Soon software developers will be expected to use this infrastructure to build their B2B applications requiring dynamic integration. However, there is still a lack of guidelines for the evaluation of tools developed to realize Semantic Web Services and applications built on top of them. In normal software engineering practice such guidelines can already be found for traditional component-based systems. Also some efforts are being made to build performance models for servicebased systems. Drawing on these related efforts in component-oriented and servicebased systems, we identified the need for a generic evaluation model for Semantic Web Services applicable to any realization. The generic evaluation model will help users and customers to orient their systems and solutions towards using Semantic Web Services. In this chapter, we have presented the requirements for the generic evaluation model for Semantic Web Services and further discussed the initial steps that we took to sketch such a model. Finally, we discuss related activities for evaluating semantic technologies.

  2. Modeling and Annotating the Expressive Semantics of Dance Videos

    CERN Document Server

    Kannan, Rajkumar

    2010-01-01

    Dance videos are interesting and semantics-intensive. At the same time, they are the complex type of videos compared to all other types such as sports, news and movie videos. In fact, dance video is the one which is less explored by the researchers across the globe. Dance videos exhibit rich semantics such as macro features and micro features and can be classified into several types. Hence, the conceptual modeling of the expressive semantics of the dance videos is very crucial and complex. This paper presents a generic Dance Video Semantics Model (DVSM) in order to represent the semantics of the dance videos at different granularity levels, identified by the components of the accompanying song. This model incorporates both syntactic and semantic features of the videos and introduces a new entity type called, Agent, to specify the micro features of the dance videos. The instantiations of the model are expressed as graphs. The model is implemented as a tool using J2SE and JMF to annotate the macro and micro fea...

  3. Collaborative Semantic Annotation of Images : Ontology-Based Model

    Directory of Open Access Journals (Sweden)

    Damien E. ZOMAHOUN

    2015-12-01

    Full Text Available In the quest for models that could help to represen t the meaning of images, some approaches have used contextual knowledge by building semantic hierarchi es. Others have resorted to the integration of imag es analysis improvement knowledge and images interpret ation using ontologies. The images are often annotated with a set of keywords (or ontologies, w hose relevance remains highly subjective and relate d to only one interpretation (one annotator. However , an image can get many associated semantics because annotators can interpret it differently. Th e purpose of this paper is to propose a collaborati ve annotation system that brings out the meaning of im ages from the different interpretations of annotato rs. The different works carried out in this paper lead to a semantic model of an image, i.e. the different means that a picture may have. This method relies o n the different tools of the Semantic Web, especial ly ontologies.

  4. Denotational Semantics of a Simple Model of Eiffel

    Institute of Scientific and Technical Information of China (English)

    瞿裕忠; 王志坚; 等

    1995-01-01

    A simple abstract model of Eiffel is introduced,and its denotational semantics is defined using VDM style.A static analysis approach is presented to treat multiple inheritance and renaming mechanism.Within the framework of denotational semantics introduced in this paper,the key features of Eiffel,such as identification,classification,multiple inheritance,polymorphism and dynamic binding,can be adequately characterized.

  5. Modeling media as latent semantics based on cognitive components

    DEFF Research Database (Denmark)

    Petersen, Michael Kai

    dimensionality. While top-down, patterns of emotional categorization emerge by defining term vector distances to affective adjectives, that constrain the latent semantic structures according to the neurophysiological dimensions of valence and arousal. The thesis thus combines elements of machine learning...... with aspects of cognitive linguistics that potentially could be utilized in applications ranging from information retrieval and media personalization, to emotional brand building or neuroscientific modeling of syntax and semantics....

  6. Thinking, the Unconscious and Film

    Directory of Open Access Journals (Sweden)

    John Carvalho

    2009-01-01

    Full Text Available In this essay, we explore a non-standard model of the unconscious, what Gilles Deleuze and Félix Guattari call the “productive unconscious,” to correct the too-often reductive tendencies of psychoanalysis and film. This introduces the image of a form of thinking we may find in our encounters with film that aims more at pleasure-taking than problem-solving and that, in so doing, really gets us to think. Drawing on this productive unconscious, we come to a richer appreciation of classic Hollywood cinema, a new understanding of classic, nouveau vague and neo-realist films, and we enjoy the chance to ignore the rules and reconsider thinking in philosophy and film.

  7. Hippocampus is place of interaction between unconscious and conscious memories.

    Science.gov (United States)

    Züst, Marc Alain; Colella, Patrizio; Reber, Thomas Peter; Vuilleumier, Patrik; Hauf, Martinus; Ruch, Simon; Henke, Katharina

    2015-01-01

    Recent evidence suggests that humans can form and later retrieve new semantic relations unconsciously by way of hippocampus-the key structure also recruited for conscious relational (episodic) memory. If the hippocampus subserves both conscious and unconscious relational encoding/retrieval, one would expect the hippocampus to be place of unconscious-conscious interactions during memory retrieval. We tested this hypothesis in an fMRI experiment probing the interaction between the unconscious and conscious retrieval of face-associated information. For the establishment of unconscious relational memories, we presented subliminal (masked) combinations of unfamiliar faces and written occupations ("actor" or "politician"). At test, we presented the former subliminal faces, but now supraliminally, as cues for the reactivation of the unconsciously associated occupations. We hypothesized that unconscious reactivation of the associated occupation-actor or politician-would facilitate or inhibit the subsequent conscious retrieval of a celebrity's occupation, which was also actor or politician. Depending on whether the reactivated unconscious occupation was congruent or incongruent to the celebrity's occupation, we expected either quicker or delayed conscious retrieval process. Conscious retrieval was quicker in the congruent relative to a neutral baseline condition but not delayed in the incongruent condition. fMRI data collected during subliminal face-occupation encoding confirmed previous evidence that the hippocampus was interacting with neocortical storage sites of semantic knowledge to support relational encoding. fMRI data collected at test revealed that the facilitated conscious retrieval was paralleled by deactivations in the hippocampus and neocortical storage sites of semantic knowledge. We assume that the unconscious reactivation has pre-activated overlapping relational representations in the hippocampus reducing the neural effort for conscious retrieval. This

  8. The Unconscious Mind

    OpenAIRE

    2008-01-01

    The unconscious mind is still viewed by many psychological scientists as the shadow of a “real” conscious mind, though there now exists substantial evidence that the unconscious is not identifiably less flexible, complex, controlling, deliberative, or action-oriented than is its counterpart. This “conscious-centric” bias is due in part to the operational definition within cognitive psychology that equates unconscious with subliminal. We review the evidence challenging this restricted view of ...

  9. Ontologies: Semantic Nirvana for Earth Science Model Interoperability? (Invited)

    Science.gov (United States)

    Graybeal, J.

    2009-12-01

    The Challenge: When we build a given model, we do so to meet today's needs. If the model is good, new people will want to use it in new ways. That tests how well the model can work in new contexts: new user groups, new science domains, or new data providers or data users. We can say a model is interoperable if it works well in each new case, with few or no changes. Here we deal with perhaps the least-addressed part of model interoperability: semantic interoperability, the ability of models to understand the meaning of each other's data. The Scenario: A model has been built that uses observational data, and creates output data sets. In subsequent years, the model must (a) be connected to another model and exchange data with it; (b) be evaluated and used by a scientist in another domain; (c) document its outputs for two different repositories that use different keywords; and (d) identify and incorporate new observation streams as they come on-line. All these steps are mostly done manually today, and explanations about the data exchanged in similar form. Can we make them more efficient, or even automated, by leveraging good semantic practices? A problem in each case is the use of local or community naming conventions that are not known to all parties. How can this be improved? The Reality: Many models use the standard name conventions and vocabularies specified by the netCDF COARDS Climate and Forecast conventions. These provide a good basic level of 'semantic interoperability', and for this reason alone Earth science models are semantically far ahead of most other Earth science data systems. Yet these conventions aren't always used, aren't always sufficient, and don't help us interoperate with lots of existing systems. What are the issues for semantic interoperability in modeling, how do ontologies and other semantic capabilities help us fix them, and are ontologies worth the trouble?

  10. A Semantic Change Model for French Loanwords in Persian

    Directory of Open Access Journals (Sweden)

    Azadeh Sharifi MOGHADDAM

    2013-12-01

    Full Text Available The aim of this study is to propose a model of semantic change which corresponds to synchronic analysis of the data set. For this purpose, the study examined semantic change orientation of French loanwords in Persian. Zomorrodian’s (1373/1994 book on European loanwords in Persian was selected as the database from which 1878 French loanwords were extracted. The data was analyzed semantically by consulting Bellows and Bellows’ (1919 dictionary in order to compare meanings of the original lexical items against the present meaning of the loanwords. A number of 330 loaned items were found to have undergone a type of semantic change. The corpus was examined against the existing semantic change typologies. Finding these models to be incomplete, a new model was proposed. This model, being synchronic and non-linear, is of a more elaborate design with the following advantages: a all items (loanwords of the corpus could be contained in it, and b all categories of this model were filled up by loaned items.

  11. Challenges of Identifying Communities with Shared Semantics in Enterprise Modeling

    NARCIS (Netherlands)

    Hoppenbrouwers, Stijn; Linden, D. van der

    2012-01-01

    In this paper we discuss the use and challenges of identifying communities with shared semantics in Enterprise Modeling. People tend to understand modeling meta-concepts (i.e., a modeling language’s constructs or types) in a certain way and can be grouped by this understanding. Having an insight int

  12. A `Semantic' View of Scientific Models for Science Education

    Science.gov (United States)

    Adúriz-Bravo, Agustín

    2013-07-01

    In this paper I inspect a `semantic' view of scientific models taken from contemporary philosophy of science—I draw upon the so-called `semanticist family', which frontally challenges the received, syntactic conception of scientific theories. I argue that a semantic view may be of use both for science education in the classrooms of all educational levels, and for research and innovation within the discipline of didactics of science. I explore and characterise a model-based account of the nature of science, and derive some implications that may be of interest for our community.

  13. Semantic Enterprise Optimizer and Coexistence of Data Models

    Directory of Open Access Journals (Sweden)

    P. A. Sundararajan

    2012-09-01

    Full Text Available The authors propose a semantic ontology–driven enterprise data–model architecture for interoperability, integration, and adaptability for evolution, by autonomic agent-driven intelligent design of logical as well as physical data models in a heterogeneous distributed enterprise through its life cycle. An enterprise-standard ontology (in Web Ontology Language [OWL] and Semantic Web Rule Language [SWRL] for data is required to enable an automated data platform that adds life-cycle activities to the current Microsoft Enterprise Search and extend Microsoft SQL Server through various engines for unstructured data types, as well as many domain types that are configurable by users through a Semantic- query optimizer, and using Microsoft Office SharePoint Server (MOSS as a content and metadata repository to tie all these components together.

  14. Text Summarization Using FrameNet-Based Semantic Graph Model

    Directory of Open Access Journals (Sweden)

    Xu Han

    2016-01-01

    Full Text Available Text summarization is to generate a condensed version of the original document. The major issues for text summarization are eliminating redundant information, identifying important difference among documents, and recovering the informative content. This paper proposes a Semantic Graph Model which exploits the semantic information of sentence using FSGM. FSGM treats sentences as vertexes while the semantic relationship as the edges. It uses FrameNet and word embedding to calculate the similarity of sentences. This method assigns weight to both sentence nodes and edges. After all, it proposes an improved method to rank these sentences, considering both internal and external information. The experimental results show that the applicability of the model to summarize text is feasible and effective.

  15. Alpha synchronization as a brain model for unconscious defense: An overview of the work of Howard Shevrin and his team.

    Science.gov (United States)

    Bazan, Ariane

    2017-03-01

    Howard Shevrin and his team have developed a stringent subliminal priming methodology, which experimentally approximates a situation of an internal, mental triggering of unconscious defense. Through a series of four studies they thus are able to bring evidence for this type of unconscious defense. With event-related potentials, three clinical studies show how synchronization of a specific brain wave, the alpha wave, known for its inhibitory function, is also induced by subliminally presented conflictual subject-specific stimuli. Therefore, alpha synchronization could serve as the brain mechanism of unconscious defense. The results only make sense if we suppose the existence of a dynamic unconscious, which has inherited childhood conflicts, and with privileged connections to neurotic symptom characteristics. Moreover, by showing that the unconscious conflict phrases, inferred by clinicians from clinical interviews, have a similar brain behavior, Shevrin and his team provide evidence that these inferences are not simply clinician-dependent subjective interpretations but also imply some form of independent mental reality. Finally, interpretation of the results has led us to propose two distinct physiological mechanisms for defense: one, unconscious defense, by alpha synchronization in connection with the drive derivatives, and another, repression, based on the indications of reality in connection with the ego.

  16. The Semantic Model of ICENT System%ICENT汉英机译系统中的语义模型

    Institute of Scientific and Technical Information of China (English)

    齐璇陈; 火旺

    2002-01-01

    Semantic analyzing is very important in MT system.The usage of semantic knowledge can help to disambiguation.Now semantic knowledge is always used to sense disambiguation.This paper presents a semantic hierarchy which contains semantic primitive,sense and semantic chunk.Then the paper gives the formal definitions of each semantic unit and semantic rule which reflect relations of semantic units.Preliminary experiment was done and the results showed that the usage of the semantic model could increase the accuracy of the system.

  17. Towards Automatic Semantic Labelling of 3D City Models

    Science.gov (United States)

    Rook, M.; Biljecki, F.; Diakité, A. A.

    2016-10-01

    The lack of semantic information in many 3D city models is a considerable limiting factor in their use, as a lot of applications rely on semantics. Such information is not always available, since it is not collected at all times, it might be lost due to data transformation, or its lack may be caused by non-interoperability in data integration from other sources. This research is a first step in creating an automatic workflow that semantically labels plain 3D city model represented by a soup of polygons, with semantic and thematic information, as defined in the CityGML standard. The first step involves the reconstruction of the topology, which is used in a region growing algorithm that clusters upward facing adjacent triangles. Heuristic rules, embedded in a decision tree, are used to compute a likeliness score for these regions that either represent the ground (terrain) or a RoofSurface. Regions with a high likeliness score, to one of the two classes, are used to create a decision space, which is used in a support vector machine (SVM). Next, topological relations are utilised to select seeds that function as a start in a region growing algorithm, to create regions of triangles of other semantic classes. The topological relationships of the regions are used in the aggregation of the thematic building features. Finally, the level of detail is detected to generate the correct output in CityGML. The results show an accuracy between 85 % and 99 % in the automatic semantic labelling on four different test datasets. The paper is concluded by indicating problems and difficulties implying the next steps in the research.

  18. Large scale semantic 3D modeling of the urban landscape

    NARCIS (Netherlands)

    I. Esteban Lopez

    2012-01-01

    Modeling and understanding large urban areas is becoming an important topic in a world were everything is being digitized. A semantic and accurate 3D representation of a city can be used in many applications such as event and security planning and management, assisted navigation, autonomous operatio

  19. Introduction to Unconscious Bias

    Science.gov (United States)

    Schmelz, Joan T.

    2010-05-01

    We all have biases, and we are (for the most part) unaware of them. In general, men and women BOTH unconsciously devalue the contributions of women. This can have a detrimental effect on grant proposals, job applications, and performance reviews. Sociology is way ahead of astronomy in these studies. When evaluating identical application packages, male and female University psychology professors preferred 2:1 to hire "Brian” over "Karen” as an assistant professor. When evaluating a more experienced record (at the point of promotion to tenure), reservations were expressed four times more often when the name was female. This unconscious bias has a repeated negative effect on Karen's career. This talk will introduce the concept of unconscious bias and also give recommendations on how to address it using an example for a faculty search committee. The process of eliminating unconscious bias begins with awareness, then moves to policy and practice, and ends with accountability.

  20. Unconsciously triggered conflict adaptation.

    Directory of Open Access Journals (Sweden)

    Simon van Gaal

    Full Text Available In conflict tasks such as the Stroop, the Eriksen flanker or the Simon task, it is generally observed that the detection of conflict in the current trial reduces the impact of conflicting information in the subsequent trial; a phenomenon termed conflict adaptation. This higher-order cognitive control function has been assumed to be restricted to cases where conflict is experienced consciously. In the present experiment we manipulated the awareness of conflict-inducing stimuli in a metacontrast masking paradigm to directly test this assumption. Conflicting response tendencies were elicited either consciously (through primes that were weakly masked or unconsciously (strongly masked primes. We demonstrate trial-by-trial conflict adaptation effects after conscious as well as unconscious conflict, which could not be explained by direct stimulus/response repetitions. These findings show that unconscious information can have a longer-lasting influence on our behavior than previously thought and further stretch the functional boundaries of unconscious cognition.

  1. Comparison of Semantics of Disjunctive Logic Programs Based on Model-Equivalent Reduction

    Institute of Scientific and Technical Information of China (English)

    Xi-Shun Zhao; Yu-Ping Shen

    2007-01-01

    In this paper, it is shown that stable model semantics, perfect model semantics, and partial stable model semantics of disjunctive logic programs have the same expressive power with respect to the polynomial-time model-equivalent reduction. That is, taking perfect model semantics and stable model semantic as an example, any logic program P can be transformed in polynomial time to another logic program p' such that perfect models (resp. stable models) of P 1-1 correspond to stable models (resp. perfect models) of P', and the correspondence can be computed also in polynomial time. However, the minimal model semantics has weaker expressiveness than other mentioned semantics, otherwise, the polynomial hierarchy would collapse to NP.

  2. GRAPHIC REALIZATION FOUNDATIONS OF LOGIC-SEMANTIC MODELING IN DIDACTICS

    Directory of Open Access Journals (Sweden)

    V. E. Steinberg

    2017-01-01

    Full Text Available Introduction. Nowadays, there are not a lot of works devoted to a graphic method of logic-semantic modeling of knowledge. Meanwhile, an interest towards this method increases due to the fact of essential increase of the content of visual component in information and educational sources. The present publication is the authors’ contribution into the solution of the problem of search of new forms and means convenient for visual and logic perception of a training material, its assimilation, operating by elements of knowledge and their transformations.The aim of the research is to justify graphical implementation of the method of logic-semantic modeling of knowledge, presented by a natural language (training language and to show the possibilities of application of figurative and conceptual models in student teaching.Methodology and research methods. The research methodology is based on the specified activity-regulatory, system-multi-dimensional and structural-invariant approach and the principle of multidimensionality. The methodology the graphic realization of the logic-semantic models in learning technologies is based on didactic design using computer training programs.Results and scientific novelty. Social and anthropological-cultural adaptation bases of the method of logical-semantic knowledge modeling to the problems of didactics are established and reasoned: coordinate-invariant matrix structure is presented as the basis of logical-semantic models of figurative and conceptual nature; the possibilities of using such models as multifunctional didactic regulators – support schemes, navigation in the content of the educational material, educational activities carried out by navigators, etc., are shown. The characteristics of new teaching tools as objects of semiotics and didactic of regulators are considered; their place and role in the structure of the external and internal training curricula learning activities are pointed out

  3. Semantic e-Science: From Microformats to Models

    Science.gov (United States)

    Lumb, L. I.; Freemantle, J. R.; Aldridge, K. D.

    2009-05-01

    A platform has been developed to transform semi-structured ASCII data into a representation based on the eXtensible Markup Language (XML). A subsequent transformation allows the XML-based representation to be rendered in the Resource Description Format (RDF). Editorial metadata, expressed as external annotations (via XML Pointer Language), also survives this transformation process (e.g., Lumb et al., http://dx.doi.org/10.1016/j.cageo.2008.03.009). Because the XML-to-RDF transformation uses XSLT (eXtensible Stylesheet Language Transformations), semantic microformats ultimately encode the scientific data (Lumb & Aldridge, http://dx.doi.org/10.1109/HPCS.2006.26). In building the relationship-centric representation in RDF, a Semantic Model of the scientific data is extracted. The systematic enhancement in the expressivity and richness of the scientific data results in representations of knowledge that are readily understood and manipulated by intelligent software agents. Thus scientists are able to draw upon various resources within and beyond their discipline to use in their scientific applications. Since the resulting Semantic Models are independent conceptualizations of the science itself, the representation of scientific knowledge and interaction with the same can stimulate insight from different perspectives. Using the Global Geodynamics Project (GGP) for the purpose of illustration, the introduction of GGP microformats enable a Semantic Model for the GGP that can be semantically queried (e.g., via SPARQL, http://www.w3.org/TR/rdf-sparql-query). Although the present implementation uses the Open Source Redland RDF Libraries (http://librdf.org/), the approach is generalizable to other platforms and to projects other than the GGP (e.g., Baker et al., Informatics and the 2007-2008 Electronic Geophysical Year, Eos Trans. Am. Geophys. Un., 89(48), 485-486, 2008).

  4. Audiovisual integration facilitates unconscious visual scene processing.

    Science.gov (United States)

    Tan, Jye-Sheng; Yeh, Su-Ling

    2015-10-01

    Meanings of masked complex scenes can be extracted without awareness; however, it remains unknown whether audiovisual integration occurs with an invisible complex visual scene. The authors examine whether a scenery soundtrack can facilitate unconscious processing of a subliminal visual scene. The continuous flash suppression paradigm was used to render a complex scene picture invisible, and the picture was paired with a semantically congruent or incongruent scenery soundtrack. Participants were asked to respond as quickly as possible if they detected any part of the scene. Release-from-suppression time was used as an index of unconscious processing of the complex scene, which was shorter in the audiovisual congruent condition than in the incongruent condition (Experiment 1). The possibility that participants adopted different detection criteria for the 2 conditions was excluded (Experiment 2). The audiovisual congruency effect did not occur for objects-only (Experiment 3) and background-only (Experiment 4) pictures, and it did not result from consciously mediated conceptual priming (Experiment 5). The congruency effect was replicated when catch trials without scene pictures were added to exclude participants with high false-alarm rates (Experiment 6). This is the first study demonstrating unconscious audiovisual integration with subliminal scene pictures, and it suggests expansions of scene-perception theories to include unconscious audiovisual integration.

  5. 3D Model Retrieval Based on Semantic and Shape Indexes

    CERN Document Server

    Kassimi, My Abdellah

    2011-01-01

    The size of 3D models used on the web or stored in databases is becoming increasingly high. Then, an efficient method that allows users to find similar 3D objects for a given 3D model query has become necessary. Keywords and the geometry of a 3D model cannot meet the needs of users' retrieval because they do not include the semantic information. In this paper, a new method has been proposed to 3D models retrieval using semantic concepts combined with shape indexes. To obtain these concepts, we use the machine learning methods to label 3D models by k-means algorithm in measures and shape indexes space. Moreover, semantic concepts have been organized and represented by ontology language OWL and spatial relationships are used to disambiguate among models of similar appearance. The SPARQL query language has been used to question the information displayed in this language and to compute the similarity between two 3D models. We interpret our results using the Princeton Shape Benchmark Database and the results show ...

  6. Semantic-Driven e-Government: Application of Uschold and King Ontology Building Methodology for Semantic Ontology Models Development

    CERN Document Server

    Fonou-Dombeu, Jean Vincent; 10.5121/ijwest.2011.2401

    2011-01-01

    Electronic government (e-government) has been one of the most active areas of ontology development during the past six years. In e-government, ontologies are being used to describe and specify e-government services (e-services) because they enable easy composition, matching, mapping and merging of various e-government services. More importantly, they also facilitate the semantic integration and interoperability of e-government services. However, it is still unclear in the current literature how an existing ontology building methodology can be applied to develop semantic ontology models in a government service domain. In this paper the Uschold and King ontology building methodology is applied to develop semantic ontology models in a government service domain. Firstly, the Uschold and King methodology is presented, discussed and applied to build a government domain ontology. Secondly, the domain ontology is evaluated for semantic consistency using its semi-formal representation in Description Logic. Thirdly, an...

  7. Semantic Web Based Efficient Search Using Ontology and Mathematical Model

    Directory of Open Access Journals (Sweden)

    K.Palaniammal

    2014-01-01

    Full Text Available The semantic web is the forthcoming technology in the world of search engine. It becomes mainly focused towards the search which is more meaningful rather than the syntactic search prevailing now. This proposed work concerns about the semantic search with respect to the educational domain. In this paper, we propose semantic web based efficient search using ontology and mathematical model that takes into account the misleading, unmatched kind of service information, lack of relevant domain knowledge and the wrong service queries. To solve these issues in this framework is designed to make three major contributions, which are ontology knowledge base, Natural Language Processing (NLP techniques and search model. Ontology knowledge base is to store domain specific service ontologies and service description entity (SDE metadata. The search model is to retrieve SDE metadata as efficient for Education lenders, which include mathematical model. The Natural language processing techniques for spell-check and synonym based search. The results are retrieved and stored in an ontology, which in terms prevents the data redundancy. The results are more accurate to search, sensitive to spell check and synonymous context. This paper reduces the user’s time and complexity in finding for the correct results of his/her search text and our model provides more accurate results. A series of experiments are conducted in order to respectively evaluate the mechanism and the employed mathematical model.

  8. Observational semantics of the Prolog Resolution Box Model

    CERN Document Server

    Deransart, Pierre; Ferrand, Gérard

    2007-01-01

    This paper specifies an observational semantics and gives an original presentation of the Byrd box model. The approach accounts for the semantics of Prolog tracers independently of a particular Prolog implementation. Prolog traces are, in general, considered as rather obscure and difficult to use. The proposed formal presentation of its trace constitutes a simple and pedagogical approach for teaching Prolog or for implementing Prolog tracers. It is a form of declarative specification for the tracers. The trace model introduced here is only one example to illustrate general problems relating to tracers and observing processes. Observing processes know, from observed processes, only their traces. The issue is then to be able to reconstitute, by the sole analysis of the trace, part of the behaviour of the observed process, and if possible, without any loss of information. As a matter of fact, our approach highlights qualities of the Prolog resolution box model which made its success, but also its insufficiencies...

  9. Semantic Models for Scalable Search in the Internet of Things

    Directory of Open Access Journals (Sweden)

    Dennis Pfisterer

    2013-03-01

    Full Text Available The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. This requires an open representation of sensor data and scalable search over data from diverse sources including sensors. In this paper we show how the Semantic Web technologies RDF (an open semantic data format and SPARQL (a query language for RDF-encoded data can be used to address those challenges. In particular, we describe how prediction models can be employed for scalable sensor search, how these prediction models can be encoded as RDF, and how the models can be queried by means of SPARQL.

  10. Graph-Theoretic Properties of Networks Based on Word Association Norms: Implications for Models of Lexical Semantic Memory

    Science.gov (United States)

    Gruenenfelder, Thomas M.; Recchia, Gabriel; Rubin, Tim; Jones, Michael N.

    2016-01-01

    We compared the ability of three different contextual models of lexical semantic memory (BEAGLE, Latent Semantic Analysis, and the Topic model) and of a simple associative model (POC) to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network…

  11. Modeling semantic aspects for cross-media image indexing.

    Science.gov (United States)

    Monay, Florent; Gatica-Perez, Daniel

    2007-10-01

    To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content of an image set and the associated text captions, then allowing for the automatic creation of semantic indices for unannotated images. The task, however, remains unsolved. In this paper, we present three alternatives to learn a Probabilistic Latent Semantic Analysis model (PLSA) for annotated images, and evaluate their respective performance for automatic image indexing. Under the PLSA assumptions, an image is modeled as a mixture of latent aspects that generates both image features and text captions, and we investigate three ways to learn the mixture of aspects. We also propose a more discriminative image representation than the traditional Blob histogram, concatenating quantized local color information and quantized local texture descriptors. The first learning procedure of a PLSA model for annotated images is a standard EM algorithm, which implicitly assumes that the visual and the textual modalities can be treated equivalently. The other two models are based on an asymmetric PLSA learning, allowing to constrain the definition of the latent space on the visual or on the textual modality. We demonstrate that the textual modality is more appropriate to learn a semantically meaningful latent space, which translates into improved annotation performance. A comparison of our learning algorithms with respect to recent methods on a standard dataset is presented, and a detailed evaluation of the performance shows the validity of our framework.

  12. An accumulator model of semantic interference

    NARCIS (Netherlands)

    van Maanen, Leendert; van Rijn, Hedderik

    2007-01-01

    To explain latency effects in picture-word interference tasks, cognitive models need to account for both interference and stimulus onset asynchrony (SOA) effects. As opposed to most models of picture-word interference, which model the time course during the task in a ballistic manner, the RACE model

  13. CityGML - Interoperable semantic 3D city models

    Science.gov (United States)

    Gröger, Gerhard; Plümer, Lutz

    2012-07-01

    CityGML is the international standard of the Open Geospatial Consortium (OGC) for the representation and exchange of 3D city models. It defines the three-dimensional geometry, topology, semantics and appearance of the most relevant topographic objects in urban or regional contexts. These definitions are provided in different, well-defined Levels-of-Detail (multiresolution model). The focus of CityGML is on the semantical aspects of 3D city models, its structures, taxonomies and aggregations, allowing users to employ virtual 3D city models for advanced analysis and visualization tasks in a variety of application domains such as urban planning, indoor/outdoor pedestrian navigation, environmental simulations, cultural heritage, or facility management. This is in contrast to purely geometrical/graphical models such as KML, VRML, or X3D, which do not provide sufficient semantics. CityGML is based on the Geography Markup Language (GML), which provides a standardized geometry model. Due to this model and its well-defined semantics and structures, CityGML facilitates interoperable data exchange in the context of geo web services and spatial data infrastructures. Since its standardization in 2008, CityGML has become used on a worldwide scale: tools from notable companies in the geospatial field provide CityGML interfaces. Many applications and projects use this standard. CityGML is also having a strong impact on science: numerous approaches use CityGML, particularly its semantics, for disaster management, emergency responses, or energy-related applications as well as for visualizations, or they contribute to CityGML, improving its consistency and validity, or use CityGML, particularly its different Levels-of-Detail, as a source or target for generalizations. This paper gives an overview of CityGML, its underlying concepts, its Levels-of-Detail, how to extend it, its applications, its likely future development, and the role it plays in scientific research. Furthermore, its

  14. Unconscious Determinants of Career Choice and Burnout: Theoretical Model and Counseling Strategy.

    Science.gov (United States)

    Malach-Pines, Ayala; Yafe-Yanai, Oreniya

    2001-01-01

    Proposes a psychodynamic-existential perspective as a theoretical model that explains career burnout and serves as a basis for a counseling strategy. According to existential theory, the root of career burnout lies in people's need to find existential significance in their life and their sense that their work does not provide it. (Contains 40…

  15. Semantic Model for Voice Controlled Telephone Dialing and Inquiry Systems

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    A new scheme is presented to detect a large number of keywords in voice controlled switchboard tasks. The new scheme is based on two stages. In the first stage, N-best syllable candidates with their corresponding acoustic scores are generated by an acoustic recognizer. In the second stage, a semantic model based parser is applied to determine the optimum keywords by searching through the lattice of N-best candidates. The experimental results show that when the spoken input deviates from the predefined syntactic constraints, the parser can also demonstrate high performance. For comparison purposes, the most common way to incorporate the syntactic knowledge of the task directly into the acoustic recognizer in the form of a finite state network is also investigated. Furthermore, to address the sparse-data problems, out-of-domain data in the form of newspaper text are used to obtain a more robust combined semantic model. The experiments show that the combined semantic model can improve the keywords detection rate from 90.07% to 92.91% when 80 ungrammatical sentences which do not conform to the task grammar are used as testing material.

  16. A Bayesian Generative Model for Learning Semantic Hierarchies

    Directory of Open Access Journals (Sweden)

    Roni eMittelman

    2014-05-01

    Full Text Available Building fine-grained visual recognition systems that are capable of recognizing tens of thousands of categories, has received much attention in recent years. The well known semantic hierarchical structure of categories and concepts, has been shown to provide a key prior which allows for optimal predictions. The hierarchical organization of various domains and concepts has been subject to extensive research, and led to the development of the WordNet domains hierarchy [18], which was also used to organize the images in the ImageNet [11] dataset, in which the category count approaches the human capacity. Still, for the human visual system, the form of the hierarchy must be discovered with minimal use of supervision or innate knowledge. In this work, we propose a new Bayesian generative model for learning such domain hierarchies, based on semantic input. Our model is motivated by the super-subordinate organization of domain labels and concepts that characterizes WordNet, and accounts for several important challenges: maintaining context information when progressing deeper into the hierarchy, learning a coherent semantic concept for each node, and modeling uncertainty in the perception process.

  17. A Bayesian generative model for learning semantic hierarchies.

    Science.gov (United States)

    Mittelman, Roni; Sun, Min; Kuipers, Benjamin; Savarese, Silvio

    2014-01-01

    Building fine-grained visual recognition systems that are capable of recognizing tens of thousands of categories, has received much attention in recent years. The well known semantic hierarchical structure of categories and concepts, has been shown to provide a key prior which allows for optimal predictions. The hierarchical organization of various domains and concepts has been subject to extensive research, and led to the development of the WordNet domains hierarchy (Fellbaum, 1998), which was also used to organize the images in the ImageNet (Deng et al., 2009) dataset, in which the category count approaches the human capacity. Still, for the human visual system, the form of the hierarchy must be discovered with minimal use of supervision or innate knowledge. In this work, we propose a new Bayesian generative model for learning such domain hierarchies, based on semantic input. Our model is motivated by the super-subordinate organization of domain labels and concepts that characterizes WordNet, and accounts for several important challenges: maintaining context information when progressing deeper into the hierarchy, learning a coherent semantic concept for each node, and modeling uncertainty in the perception process.

  18. QOS Aware Formalized Model for Semantic Web Service Selection

    Directory of Open Access Journals (Sweden)

    Divya Sachan

    2014-10-01

    Full Text Available Selecting the most relevant Web Service according to a client requirement is an onerous task, as innumerous number of functionally same Web Services(WS are listed in UDDI registry. WS are functionally same but their Quality and performance varies as per service providers. A web Service Selection Process involves two major points: Recommending the pertinent Web Service and avoiding unjustifiable web service. The deficiency in keyword based searching is that it doesn’t handle the client request accurately as keyword may have ambiguous meaning on different scenarios. UDDI and search engines all are based on keyword search, which are lagging behind on pertinent Web service selection. So the search mechanism must be incorporated with the Semantic behavior of Web Services. In order to strengthen this approach, the proposed model is incorporated with Quality of Services (QoS based Ranking of semantic web services.

  19. Semantic Framework for Mapping Object-Oriented Model to Semantic Web Languages

    Directory of Open Access Journals (Sweden)

    Petr eJezek

    2015-02-01

    Full Text Available The article deals with and discusses two main approaches in building semantic structures for electrophysiological metadata. It is the use of conventional data structures, repositories, and programming languages on one hand and the use of formal representations of ontologies, known from knowledge representation, such as description logics or semantic web languages on the other hand. Although knowledge engineering offers languages supporting richer semantic means of expression and technological advanced approaches, conventional data structures and repositories are still popular among developers, administrators and users because of their simplicity, overall intelligibility, and lower demands on technical equipment. The choice of conventional data resources and repositories, however, raises the question of how and where to add semantics that cannot be naturally expressed using them. As one of the possible solutions, this semantics can be added into the structures of the programming language that accesses and processes the underlying data. To support this idea we introduced a software prototype that enables its users to add semantically richer expressions into a~Java object-oriented code. This approach does not burden users with additional demands on programming environment since reflective Java annotations were used as an entry for these expressions. Moreover, additional semantics need not to be written by the programmer directly to the code, but it can be collected from non-programmers using a graphic user interface. The mapping that allows the transformation of the semantically enriched Java code into the Semantic Web language OWL was proposed and implemented in a library named the Semantic Framework. This approach was validated by the integration of the Semantic Framework in the EEG/ERP Portal and by the subsequent registration of the EEG/ERP Portal in the Neuroscience Information Framework.

  20. Semantic framework for mapping object-oriented model to semantic web languages.

    Science.gov (United States)

    Ježek, Petr; Mouček, Roman

    2015-01-01

    The article deals with and discusses two main approaches in building semantic structures for electrophysiological metadata. It is the use of conventional data structures, repositories, and programming languages on one hand and the use of formal representations of ontologies, known from knowledge representation, such as description logics or semantic web languages on the other hand. Although knowledge engineering offers languages supporting richer semantic means of expression and technological advanced approaches, conventional data structures and repositories are still popular among developers, administrators and users because of their simplicity, overall intelligibility, and lower demands on technical equipment. The choice of conventional data resources and repositories, however, raises the question of how and where to add semantics that cannot be naturally expressed using them. As one of the possible solutions, this semantics can be added into the structures of the programming language that accesses and processes the underlying data. To support this idea we introduced a software prototype that enables its users to add semantically richer expressions into a Java object-oriented code. This approach does not burden users with additional demands on programming environment since reflective Java annotations were used as an entry for these expressions. Moreover, additional semantics need not to be written by the programmer directly to the code, but it can be collected from non-programmers using a graphic user interface. The mapping that allows the transformation of the semantically enriched Java code into the Semantic Web language OWL was proposed and implemented in a library named the Semantic Framework. This approach was validated by the integration of the Semantic Framework in the EEG/ERP Portal and by the subsequent registration of the EEG/ERP Portal in the Neuroscience Information Framework.

  1. Semantic Information Modeling for Emerging Applications in Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Qunzhi; Natarajan, Sreedhar; Simmhan, Yogesh; Prasanna, Viktor

    2012-04-16

    Smart Grid modernizes power grid by integrating digital and information technologies. Millions of smart meters, intelligent appliances and communication infrastructures are under deployment allowing advanced IT applications to be developed to secure and manage power grid operations. Demand response (DR) is one such emerging application to optimize electricity demand by curtailing/shifting power load when peak load occurs. Existing DR approaches are mostly based on static plans such as pricing policies and load shedding schedules. However, improvements to power management applications rely on data emanating from existing and new information sources with the growth of Smart Grid information space. In particular, dynamic DR algorithms depend on information from smart meters that report interval-based power consumption measurement, HVAC systems that monitor buildings heat and humidity, and even weather forecast services. In order for emerging Smart Grid applications to take advantage of the diverse data influx, extensible information integration is required. In this paper, we develop an integrated Smart Grid information model using Semantic Web techniques and present case studies of using semantic information for dynamic DR. We show the semantic model facilitates information integration and knowledge representation for developing the next generation Smart Grid applications.

  2. Sustainable model building the role of standards and biological semantics.

    Science.gov (United States)

    Krause, Falko; Schulz, Marvin; Swainston, Neil; Liebermeister, Wolfram

    2011-01-01

    Systems biology models can be reused within new simulation scenarios, as parts of more complex models or as sources of biochemical knowledge. Reusability does not come by itself but has to be ensured while creating a model. Most important, models should be designed to remain valid in different contexts-for example, for different experimental conditions-and be published in a standardized and well-documented form. Creating reusable models is worthwhile, but it requires some efforts when a model is developed, implemented, documented, and published. Minimum requirements for published systems biology models have been formulated by the MIRIAM initiative. Main criteria are completeness of information and documentation, availability of machine-readable models in standard formats, and semantic annotations connecting the model elements with entries in biological Web resources. In this chapter, we discuss the assumptions behind bottom-up modeling; present important standards like MIRIAM, the Systems Biology Markup Language (SBML), and the Systems Biology Graphical Notation (SBGN); and describe software tools and services for handling semantic annotations. Finally, we show how standards can facilitate the construction of large metabolic network models.

  3. RANCANGAN DATABASE SUBSISTEM PRODUKSI DENGAN PENDEKATAN SEMANTIC OBJECT MODEL

    Directory of Open Access Journals (Sweden)

    Oviliani Yenty Yuliana

    2002-01-01

    Full Text Available To compete in the global market, business performer who active in industry fields should have and get information quickly and accurately, so they could make the precise decision. Traditional cost accounting system cannot give sufficient information, so many industries shift to Activity-Based Costing system (ABC. ABC system is more complex and need more data that should be save and process, so it should be applied information technology and database than traditional cost accounting system. The development of the software technology recently makes the construction of application program is not problem again. The primary problem is how to design database that presented information quickly and accurately. For that reason it necessary to make the model first. This paper discusses database modelling with semantic object model approach. This model is easier to use and is generate more normal database design than entity relationship model approach. Abstract in Bahasa Indonesia : Dalam persaingan di pasar bebas, para pelaku bisnis di bidang industri dalam membuat suatu keputusan yang tepat memerlukan informasi secara cepat dan akurat. Sistem akuntansi biaya tradisional tidak dapat menyediakan informasi yang memadai, sehingga banyak perusahaan industri yang beralih ke sistem Activity-Based Costing (ABC. Tetapi, sistem ABC merupakan sistem yang kompleks dan memerlukan banyak data yang harus disimpan dan diolah, sehingga harus menggunakan teknologi informasi dan database. Kemajuan di bidang perangkat lunak mengakibatkan pembuatan aplikasi program bukan masalah lagi. Permasalahan utama adalah bagaimana merancang database, agar dapat menyajikan informasi secara cepat dan akurat. Untuk itu, dalam makalah ini dibahas pemodelan database dengan pendekatan semantic object model. Model data ini lebih mudah digunakan dan menghasilkan transformasi yang lebih normal, jika dibandingkan dengan entity relationship model yang umum digunakan. Kata kunci: Sub Sistem

  4. [An annotation approach for masto-calcifications based on semantic model].

    Science.gov (United States)

    Zhao, Kexin; Song, Lixin

    2012-02-01

    To realize the medical semantic annotation of mammogram, a semantic modeling approach for micro-calcifications in mammogram based on hierarchical Bayesian network (BN) was proposed. Firstly, support vector machines (SVM) were used to map low-level image feature into feature semantics, then high-level semantic was captured through fusing the feature semantics using BN. Finally semantic model was established. To validate the method, the model was applied to annotate the semantic information of mammograms. In this experiment, 142 images were chosen as training set and 50 images as testing set. The results showed that the accuracy of malignant samples was 81.48%, and that of benign samples was 73.91%.

  5. Annotation and retrieval system of CAD models based on functional semantics

    Science.gov (United States)

    Wang, Zhansong; Tian, Ling; Duan, Wenrui

    2014-11-01

    CAD model retrieval based on functional semantics is more significant than content-based 3D model retrieval during the mechanical conceptual design phase. However, relevant research is still not fully discussed. Therefore, a functional semantic-based CAD model annotation and retrieval method is proposed to support mechanical conceptual design and design reuse, inspire designer creativity through existing CAD models, shorten design cycle, and reduce costs. Firstly, the CAD model functional semantic ontology is constructed to formally represent the functional semantics of CAD models and describe the mechanical conceptual design space comprehensively and consistently. Secondly, an approach to represent CAD models as attributed adjacency graphs(AAG) is proposed. In this method, the geometry and topology data are extracted from STEP models. On the basis of AAG, the functional semantics of CAD models are annotated semi-automatically by matching CAD models that contain the partial features of which functional semantics have been annotated manually, thereby constructing CAD Model Repository that supports model retrieval based on functional semantics. Thirdly, a CAD model retrieval algorithm that supports multi-function extended retrieval is proposed to explore more potential creative design knowledge in the semantic level. Finally, a prototype system, called Functional Semantic-based CAD Model Annotation and Retrieval System(FSMARS), is implemented. A case demonstrates that FSMARS can successfully botain multiple potential CAD models that conform to the desired function. The proposed research addresses actual needs and presents a new way to acquire CAD models in the mechanical conceptual design phase.

  6. Annotation and Retrieval System of CAD Models Based on Functional Semantics

    Institute of Scientific and Technical Information of China (English)

    WANG Zhansong; TIAN Ling; DUAN Wenrui

    2014-01-01

    CAD model retrieval based on functional semantics is more significant than content-based 3D model retrieval during the mechanical conceptual design phase. However, relevant research is still not fully discussed. Therefore, a functional semantic-based CAD model annotation and retrieval method is proposed to support mechanical conceptual design and design reuse, inspire designer creativity through existing CAD models, shorten design cycle, and reduce costs. Firstly, the CAD model functional semantic ontology is constructed to formally represent the functional semantics of CAD models and describe the mechanical conceptual design space comprehensively and consistently. Secondly, an approach to represent CAD models as attributed adjacency graphs(AAG) is proposed. In this method, the geometry and topology data are extracted from STEP models. On the basis of AAG, the functional semantics of CAD models are annotated semi-automatically by matching CAD models that contain the partial features of which functional semantics have been annotated manually, thereby constructing CAD Model Repository that supports model retrieval based on functional semantics. Thirdly, a CAD model retrieval algorithm that supports multi-function extended retrieval is proposed to explore more potential creative design knowledge in the semantic level. Finally, a prototype system, called Functional Semantic-based CAD Model Annotation and Retrieval System(FSMARS), is implemented. A case demonstrates that FSMARS can successfully botain multiple potential CAD models that conform to the desired function. The proposed research addresses actual needs and presents a new way to acquire CAD models in the mechanical conceptual design phase.

  7. Bridging Real World Semantics to Model World Semantics for Taxonomy Based Knowledge Representation System

    Institute of Scientific and Technical Information of China (English)

    Ju-Hum Kwon; Chee-Yang Song; Chang-Joo Moon; Doo-Kwon Baik

    2005-01-01

    As a mean to map ontology concepts, a similarity technique is employed. Especially a context dependent concept mapping is tackled, which needs contextual information from knowledge taxonomy. Context-based semantic similarity differs from the real world similarity in that it requires contextual information to calculate similarity. The notion of semantic coupling is introduced to derive similarity for a taxonomy-based system. The semantic coupling shows the degree of semantic cohesiveness for a group of concepts toward a given context. In order to calculate the semantic coupling effectively, the edge counting method is revisited for measuring basic semantic similarity by considering the weighting attributes from where they affect an edge's strength. The attributes of scaling depth effect, semantic relation type, and virtual connection for the edge counting are considered. Furthermore, how the proposed edge counting method could be well adapted for calculating context-based similarity is showed. Thorough experimental results are provided for both edge counting and context-based similarity. The results of proposed edge counting were encouraging compared with other combined approaches, and the context-based similarity also showed understandable results. The novel contributions of this paper come from two aspects.First, the similarity is increased to the viable level for edge counting. Second, a mechanism is provided to derive a contextbased similarity in taxonomy-based system, which has emerged as a hot issue in the literature such as Semantic Web, MDR,and other ontology-mapping environments.

  8. Semantic Importance Sampling for Statistical Model Checking

    Science.gov (United States)

    2015-01-16

    approach called Statistical Model Checking (SMC) [16], which relies on Monte - Carlo -based simulations to solve this verification task more scalably...Conclusion Statistical model checking (SMC) is a prominent approach for rigorous analysis of stochastic systems using Monte - Carlo simulations. In this... Monte - Carlo simulations, for computing the bounded probability that a specific event occurs during a stochastic system’s execution. Estimating the

  9. A Model for Semantic Equivalence Discovery for Harmonizing Master Data

    Science.gov (United States)

    Piprani, Baba

    IT projects often face the challenge of harmonizing metadata and data so as to have a "single" version of the truth. Determining equivalency of multiple data instances against the given type, or set of types, is mandatory in establishing master data legitimacy in a data set that contains multiple incarnations of instances belonging to the same semantic data record . The results of a real-life application define how measuring criteria and equivalence path determination were established via a set of "probes" in conjunction with a score-card approach. There is a need for a suite of supporting models to help determine master data equivalency towards entity resolution—including mapping models, transform models, selection models, match models, an audit and control model, a scorecard model, a rating model. An ORM schema defines the set of supporting models along with their incarnation into an attribute based model as implemented in an RDBMS.

  10. Unconscious knowledge: A survey

    National Research Council Canada - National Science Library

    Augusto, Luís M

    2010-01-01

    ... knowledge. it shows that the field has already a defined (perception, learning, history and discusses some of the features that all kinds of unconscious knowledge seem memory, thinking, decision to share at a deeper level. with the aim of promoting further research, we discuss the main making), measures of challenges which the postulation of unconsc...

  11. Action Algebras and Model Algebras in Denotational Semantics

    Science.gov (United States)

    Guedes, Luiz Carlos Castro; Haeusler, Edward Hermann

    This article describes some results concerning the conceptual separation of model dependent and language inherent aspects in a denotational semantics of a programming language. Before going into the technical explanation, the authors wish to relate a story that illustrates how correctly and precisely posed questions can influence the direction of research. By means of his questions, Professor Mosses aided the PhD research of one of the authors of this article and taught the other, who at the time was a novice supervisor, the real meaning of careful PhD supervision. The student’s research had been partially developed towards the implementation of programming languages through denotational semantics specification, and the student had developed a prototype [12] that compared relatively well to some industrial compilers of the PASCAL language. During a visit to the BRICS lab in Aarhus, the student’s supervisor gave Professor Mosses a draft of an article describing the prototype and its implementation experiments. The next day, Professor Mosses asked the supervisor, “Why is the generated code so efficient when compared to that generated by an industrial compiler?” and “You claim that the efficiency is simply a consequence of the Object- Orientation mechanisms used by the prototype programming language (C++); this should be better investigated. Pay more attention to the class of programs that might have this good comparison profile.” As a result of these aptly chosen questions and comments, the student and supervisor made great strides in the subsequent research; the advice provided by Professor Mosses made them perceive that the code generated for certain semantic domains was efficient because it mapped to the “right aspect” of the language semantics. (Certain functional types, used to represent mappings such as Stores and Environments, were pushed to the level of the object language (as in gcc). This had the side-effect of generating code for arrays in

  12. Business models - their semantic form and structure

    OpenAIRE

    Kinderis, Remigijus

    2012-01-01

    Straipsnyje siekiama išgryninti verslo modelio koncepto semantiką. Analizuojama verslo modelio samprata, atliekant apibrėžimų chronologinės eigos analizę, parengiant prasminių žodžių žemėlapį. [...] The concept of business model is the most frequently considered and discussed in different modern scientific and business publications. Business model has been perceived and analyzed as a modern method of competition among business enterprises. The scientists and practicians agree on the common...

  13. Construction and Pre-Test of a Semantic Expressiveness Measure for Conceptual Models

    OpenAIRE

    Poels, G; Maes, A.; Gailly, F; R. PAEMELEIRE

    2004-01-01

    One quality attributed to McCarthy’s Resources-Events-Agents (REA) accounting model is semantic expressiveness. Compared to accounting models without a semantic orientation like the Debit-Credit-Account (DCA) model, the REA model is claimed to better represent the economic phenomena underlying an accounting system. The alleged benefits of this increased semantic expressiveness include easier integration with representations of non-accounting information and better user understanding of accoun...

  14. A Parallel Programming Model With Sequential Semantics

    Science.gov (United States)

    1996-01-01

    Parallel programming is more difficult than sequential programming in part because of the complexity of reasoning, testing, and debugging in the...context of concurrency. In the thesis, we present and investigate a parallel programming model that provides direct control of parallelism in a notation

  15. Considering the Feasibility of Semantic Model Design in the Built-Environment

    Directory of Open Access Journals (Sweden)

    Hubert Grzybek

    2014-11-01

    Full Text Available Building Information Modeling (BIM is the process of structuring, capturing, creating, and managing a digital representation of physical and/or functional characteristics of a built space [1]. Current BIM has limited ability to represent dynamic semantics, social information, often failing to consider building activity, behavior and context; thus limiting integration with intelligent, built-environment management systems. Research, such as the development of Semantic Exchange Modules, and/or the linking of IFC with semantic web structures, demonstrates the need for building models to better support complex semantic functionality. To implement model semantics effectively, however, it is critical that model designers consider semantic information constructs. This paper discusses semantic models with relation to determining the most suitable information structure. We demonstrate how semantic rigidity can lead to significant long-term problems that can contribute to model failure. A sufficiently detailed feasibility study is advised to maximize the value from the semantic model. In addition we propose a set of questions, to be used during a model’s feasibility study, and guidelines to help assess the most suitable method for managing semantics in a built environment.

  16. Spatio-temporal GIS Data Model Based on Event Semantics

    Institute of Scientific and Technical Information of China (English)

    XU Zhihong; BIAN Fuling

    2003-01-01

    There are mainly four kinds of models to record and deal with historical information. By taking them as reference, the spatio-temporal model based on event semantics is proposed. In this model, according to the way for describing an event, all the information are divided into five domains. This paper describes the model by using the land parcel change in the cadastral information system, and expounds the model by using five tables corresponding to the five domains.With the aid of this model, seven examples are given on historical query,trace back and recurrence. This model can be implemented either in the extended relational database or in the object-oriented database.

  17. Developing a semantic web model for medical differential diagnosis recommendation.

    Science.gov (United States)

    Mohammed, Osama; Benlamri, Rachid

    2014-10-01

    In this paper we describe a novel model for differential diagnosis designed to make recommendations by utilizing semantic web technologies. The model is a response to a number of requirements, ranging from incorporating essential clinical diagnostic semantics to the integration of data mining for the process of identifying candidate diseases that best explain a set of clinical features. We introduce two major components, which we find essential to the construction of an integral differential diagnosis recommendation model: the evidence-based recommender component and the proximity-based recommender component. Both approaches are driven by disease diagnosis ontologies designed specifically to enable the process of generating diagnostic recommendations. These ontologies are the disease symptom ontology and the patient ontology. The evidence-based diagnosis process develops dynamic rules based on standardized clinical pathways. The proximity-based component employs data mining to provide clinicians with diagnosis predictions, as well as generates new diagnosis rules from provided training datasets. This article describes the integration between these two components along with the developed diagnosis ontologies to form a novel medical differential diagnosis recommendation model. This article also provides test cases from the implementation of the overall model, which shows quite promising diagnostic recommendation results.

  18. Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context

    Directory of Open Access Journals (Sweden)

    Jung-wei Fan

    2017-01-01

    Full Text Available Exposome is a critical dimension in the precision medicine paradigm. Effective representation of exposomics knowledge is instrumental to melding nongenetic factors into data analytics for clinical research. There is still limited work in (1 modeling exposome entities and relations with proper integration to mainstream ontologies and (2 systematically studying their presence in clinical context. Through selected ontological relations, we developed a template-driven approach to identifying exposome concepts from the Unified Medical Language System (UMLS. The derived concepts were evaluated in terms of literature coverage and the ability to assist in annotating clinical text. The generated semantic model represents rich domain knowledge about exposure events (454 pairs of relations between exposure and outcome. Additionally, a list of 5667 disorder concepts with microbial etiology was created for inferred pathogen exposures. The model consistently covered about 90% of PubMed literature on exposure-induced iatrogenic diseases over 10 years (2001–2010. The model contributed to the efficiency of exposome annotation in clinical text by filtering out 78% of irrelevant machine annotations. Analysis into 50 annotated discharge summaries helped advance our understanding of the exposome information in clinical text. This pilot study demonstrated feasibility of semiautomatically developing a useful semantic resource for exposomics.

  19. Unconscious structural knowledge of form-meaning connections.

    Science.gov (United States)

    Chen, Weiwen; Guo, Xiuyan; Tang, Jinghua; Zhu, Lei; Yang, Zhiliang; Dienes, Zoltan

    2011-12-01

    We investigated the implicit learning of a linguistically relevant variable (animacy) in a natural language context (namely, the relation of forms of determiners to semantics). Trial by trial subjective measures indicated that exposure to a form-animacy regularity led to unconscious knowledge of that regularity. Under the same conditions, people did not learn about another form-meaning regularity when a linguistically arbitrary variable was used instead of animacy (size relative to a dog). Implicit learning is constrained to acquire unconscious knowledge about features with high prior probabilities of being relevant in that domain.

  20. Semantic web for the working ontologist effective modeling in RDFS and OWL

    CERN Document Server

    Allemang, Dean

    2011-01-01

    Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications. Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more. Focused on

  1. Unconscious in painterly gesture

    OpenAIRE

    Zbičajnik, Patricija

    2014-01-01

    In the first few chapters of my graduate thesis I will present psychological perspectives on art. I will also display the concepts of the unconscious and intuition as factors which influence artistic creation. In the following, I will also stop at common view on the symbol, which is deeply rooted in human mind and displays the theme of dreams in artistic works. I will continue with the descriptions of artistic movements of Surrealism, Automatism and Abstract Axpressionism where the unconsc...

  2. Simulating the unconscious.

    Science.gov (United States)

    Borch-Jacobsen, Mikkel

    2005-01-01

    This paper is concerned with hypnosis and the methodological "anxiety" (Devereux) which inevitably affects the hypnotist, whether experimental psychologist or therapist: what if the phenomena observed during hypnosis were only an effect of compliance with his own expectations, demands and suggestions? What if the hypnotized simulated hypnosis solely to please him? From Charcot and Richet to Martin Orne, by way of Bernheim or Freud, the response of researchers to this disquieting question has always been the same: the subject cannot be simulating, because he is hypnotized, asleep, unconscious. The hypothesis of a psychic unconscious (or of unconsciousness), which determined the very concept of hypnosis from the second half of the nineteenth century onwards is nothing more than a postulate required to guarantee the objectivity of hypnotic and, more broadly, psychological phenomena, by preventing the latter from being seen as simple artifacts of the experimental or clinical situation. The present paper examines several historical avatars of this postulate, including psychoanalysis, and proposes that it be abandoned in favor of a conception of psychology and psychotherapy which is constructivist and no longer objectivist, recognizing the artifactual character of psychic productions instead of denying it.

  3. Towards a model-based semantic e-Invoicing standard for the Dutch government

    NARCIS (Netherlands)

    Verhoosel, J.P.C.; Bekkum, M.A. van; Roes, J.B.M.; Krukkert, D.; Schrier, A.

    2011-01-01

    In this paper we discuss the case of defining a common semantic e-invoicing model for the Dutch government. We have defined a model-based methodology for developing semantic standards and have applied this methodology to the e-invoicing model. This methodology takes into account that multiple

  4. Semantic-Sensitive Web Information Retrieval Model for HTML Documents

    CERN Document Server

    Bassil, Youssef

    2012-01-01

    With the advent of the Internet, a new era of digital information exchange has begun. Currently, the Internet encompasses more than five billion online sites and this number is exponentially increasing every day. Fundamentally, Information Retrieval (IR) is the science and practice of storing documents and retrieving information from within these documents. Mathematically, IR systems are at the core based on a feature vector model coupled with a term weighting scheme that weights terms in a document according to their significance with respect to the context in which they appear. Practically, Vector Space Model (VSM), Term Frequency (TF), and Inverse Term Frequency (IDF) are among other long-established techniques employed in mainstream IR systems. However, present IR models only target generic-type text documents, in that, they do not consider specific formats of files such as HTML web documents. This paper proposes a new semantic-sensitive web information retrieval model for HTML documents. It consists of a...

  5. New Semantic Model for Authentication Protocols in ASMs

    Institute of Scientific and Technical Information of China (English)

    Rui Xue; Deng-Guo Feng

    2004-01-01

    A new semantic model in Abstract State Model(ASM)for authentication protocols is presented.It highlights the Woo-Lam's ideas for authentication,which is the strongest one in Lowe's definition hierarchy for entity authentication.Apart from the flexible and natural features in forming and analyzing protocols inherited from ASM,the model defines both authentication and secrecy properties explicitly in first order sentences as invariants.The process of proving security properties with respect to an authentication protocol blends the correctness and secrecy properties together to avoid the potential flaws which may happen when treated separately.The security of revised Helsinki protocol is shown as a case study.The new model is different from the previous ones in ASMs.

  6. Subliminal unconscious conflict alpha power inhibits supraliminal conscious symptom experience

    Directory of Open Access Journals (Sweden)

    Howard eShevrin

    2013-09-01

    Full Text Available Our approach is based on a tri-partite method of integrating psychodynamic hypotheses, cognitive subliminal processes, and psychophysiological alpha power measures. We present ten social phobic subjects with three individually selected groups of words representing unconscious conflict, conscious symptom experience, and Osgood Semantic negative valence words used as a control word group. The unconscious conflict and conscious symptom words, presented subliminally and supraliminally, act as primes preceding the conscious symptom and control words presented as supraliminal targets. With alpha power as a marker of inhibitory brain activity, we show that unconscious conflict primes, only when presented subliminally, have a unique inhibitory effect on conscious symptom targets. This effect is absent when the unconscious conflict primes are presented supraliminally, or when the target is the control words. Unconscious conflict prime effects were found to correlate with a measure of repressiveness in a similar previous study (Shevrin et al., 1992, 1996. Conscious symptom primes have no inhibitory effect when presented subliminally. Inhibitory effects with conscious symptom primes are present, but only when the primes are supraliminal, and they did not correlate with repressiveness in a previous study (Shevrin, et al., 1992, 1996. We conclude that while the inhibition following supraliminal conscious symptom primes is due to conscious threat bias, the inhibition following subliminal unconscious conflict primes provides a neurological blueprint for dynamic repression: it is only activated subliminally by an individual’s unconscious conflict and has an inhibitory effect specific only to the conscious symptom. These novel findings constitute neuroscientific evidence for the psychoanalytic concepts of unconscious conflict and repression, while extending neuroscience theory and methods into the realm of personal, psychological meaning.

  7. Multitask Learning of Compact Semantic Codebooks for Context-aware Scene Modeling.

    Science.gov (United States)

    Wang, Botao; Xiong, Hongkai; Lin, Weiyao; Zou, Junni; Zheng, Yuan F

    2016-09-08

    In the past few decades, we have witnessed the success of bag-of-features (BoF) models in scene classification, object detection and image segmentation. Whereas, it is also well acknowledged that the limitation of BoF-based methods lies in the low-level feature encoding and coarse feature pooling. This paper proposes a novel scene classification method, which leverages several semantic codebooks learned in a multitask fashion for robust feature encoding, and designs a context-aware image representation for efficient feature pooling. Apart from conventional universal codebook learning approaches, the proposed method encodes each class of local features with a unique semantic codebook, which captures the distinct distribution of different semantic classes more effectively. Instead of learning each semantic codebook separately, we learn a compact global codebook, of which each semantic codebook is a sparse subset, with a two-stage iterative multitask learning algorithm. While minimizing the clustering divergence, the semantic codeword assignment is solved by submodular optimization simultaneously. Built upon the global and semantic codebooks, a context-aware image representation is further developed to encode both global and semantic features in image representation via contextual quantization, semantic response computation and semantic pooling. Extensive experiments have been conducted to validate the effectiveness of the proposed method on various public benchmarks with several popular local features.

  8. Uncovering highly obfuscated plagiarism cases using fuzzy semantic-based similarity model

    OpenAIRE

    Salha M. Alzahrani; Naomie Salim; Vasile Palade

    2015-01-01

    Highly obfuscated plagiarism cases contain unseen and obfuscated texts, which pose difficulties when using existing plagiarism detection methods. A fuzzy semantic-based similarity model for uncovering obfuscated plagiarism is presented and compared with five state-of-the-art baselines. Semantic relatedness between words is studied based on the part-of-speech (POS) tags and WordNet-based similarity measures. Fuzzy-based rules are introduced to assess the semantic distance between source and su...

  9. Semantic models in medical record data-bases.

    Science.gov (United States)

    Cerutti, S

    1980-01-01

    A great effort has been recently made in the area of data-base design in a number of application fields (banking, insurance, travel, etc.). Yet, it is the current experience of computer scientists in the medical field that medical record information-processing requires less rigid and more complete definition of data-base specifications for a much more heterogeneous set of data, for different users who have different aims. Hence, it is important to state that the data-base in the medical field ought to be a model of the environment for which it was created, rather than just a collection of data. New more powerful and more flexible data-base models are being now designed, particularly in the USA, where the current trend in medicine is to implement, in the same structure, the connection among more different and specific users and the data-base (for administrative aims, medical care control, treatments, statistical and epidemiological results, etc.). In such a way the single users are able to talk with the data-base without interfering with one another. The present paper outlines that this multi-purpose flexibility can be achieved by improving mainly the capabilities of the data-base model. This concept allows the creation of procedures of semantic integrity control which will certainly have in the future a dramatic impact on important management features, starting from data-quality checking and non-physiological state detections, as far as more medical-oriented procedures like drug interactions, record surveillance and medical care review. That is especially true when a large amount of data are to be processed and the classical hierarchical and network data models are no longer sufficient for developing satisfactory and reliable automatic procedures. In this regard, particular emphasis will be dedicated to the relational model and, at the highest level, to the same semantic data model.

  10. A reference model of an instrument for quality measurement of semantic IS standards

    NARCIS (Netherlands)

    Folmer, E.J.A.; Oude Luttighuis, P.; Hillegersberg, J. van

    2011-01-01

    This study describes the design of a reference model for an instrument to measure quality of semantic Information System (IS) standards. This design satisfies requirements gathered among potential users, in a previous study. The reference model features three layers: concerned with quality, semantic

  11. Semantic network based component organization model for program mining

    Institute of Scientific and Technical Information of China (English)

    王斌; 张尧学; 陈松乔

    2003-01-01

    Based on the definition of component ontology, an effective component classification mechanism and a facet named component relationship are proposed. Then an application domain oriented, hierarchical component organization model is established. At last a hierarchical component semantic network (HCSN) described by ontology interchange language(OIL) is presented and then its function is described. Using HCSN and cooperating with other components retrieving algorithms based on component description, other components information and their assembly or composite modes related to the key component can be found. Based on HCSN, component directory library is catalogued and a prototype system is constructed. The prototype system proves that component library organization based on this model gives guarantee to the reliability of component assembly during program mining.

  12. User Modeling Combining Access Logs, Page Content and Semantics

    CERN Document Server

    Fortuna, Blaz; Grobelnik, Marko

    2011-01-01

    The paper proposes an approach to modeling users of large Web sites based on combining different data sources: access logs and content of the accessed pages are combined with semantic information about the Web pages, the users and the accesses of the users to the Web site. The assumption is that we are dealing with a large Web site providing content to a large number of users accessing the site. The proposed approach represents each user by a set of features derived from the different data sources, where some feature values may be missing for some users. It further enables user modeling based on the provided characteristics of the targeted user subset. The approach is evaluated on real-world data where we compare performance of the automatic assignment of a user to a predefined user segment when different data sources are used to represent the users.

  13. Exploitation of Semantic Building Model in Indoor Navigation Systems

    Science.gov (United States)

    Anjomshoaa, A.; Shayeganfar, F.; Tjoa, A. Min

    2009-04-01

    There are many types of indoor and outdoor navigation tools and methodologies available. A majority of these solutions are based on Global Positioning Systems (GPS) and instant video and image processing. These approaches are ideal for open world environments where very few information about the target location is available, but for large scale building environments such as hospitals, governmental offices, etc the end-user will need more detailed information about the surrounding context which is especially important in case of people with special needs. This paper presents a smart indoor navigation solution that is based on Semantic Web technologies and Building Information Model (BIM). The proposed solution is also aligned with Google Android's concepts to enlighten the realization of results. Keywords: IAI IFCXML, Building Information Model, Indoor Navigation, Semantic Web, Google Android, People with Special Needs 1 Introduction Built environment is a central factor in our daily life and a big portion of human life is spent inside buildings. Traditionally the buildings are documented using building maps and plans by utilization of IT tools such as computer-aided design (CAD) applications. Documenting the maps in an electronic way is already pervasive but CAD drawings do not suffice the requirements regarding effective building models that can be shared with other building-related applications such as indoor navigation systems. The navigation in built environment is not a new issue, however with the advances in emerging technologies like GPS, mobile and networked environments, and Semantic Web new solutions have been suggested to enrich the traditional building maps and convert them to smart information resources that can be reused in other applications and improve the interpretability with building inhabitants and building visitors. Other important issues that should be addressed in building navigation scenarios are location tagging and end-user communication

  14. Semantically-Rigorous Systems Engineering Modeling Using Sysml and OWL

    Science.gov (United States)

    Jenkins, J. Steven; Rouquette, Nicolas F.

    2012-01-01

    The Systems Modeling Language (SysML) has found wide acceptance as a standard graphical notation for the domain of systems engineering. SysML subsets and extends the Unified Modeling Language (UML) to define conventions for expressing structural, behavioral, and analytical elements, and relationships among them. SysML-enabled modeling tools are available from multiple providers, and have been used for diverse projects in military aerospace, scientific exploration, and civil engineering. The Web Ontology Language (OWL) has found wide acceptance as a standard notation for knowledge representation. OWL-enabled modeling tools are available from multiple providers, as well as auxiliary assets such as reasoners and application programming interface libraries, etc. OWL has been applied to diverse projects in a wide array of fields. While the emphasis in SysML is on notation, SysML inherits (from UML) a semantic foundation that provides for limited reasoning and analysis. UML's partial formalization (FUML), however, does not cover the full semantics of SysML, which is a substantial impediment to developing high confidence in the soundness of any conclusions drawn therefrom. OWL, by contrast, was developed from the beginning on formal logical principles, and consequently provides strong support for verification of consistency and satisfiability, extraction of entailments, conjunctive query answering, etc. This emphasis on formal logic is counterbalanced by the absence of any graphical notation conventions in the OWL standards. Consequently, OWL has had only limited adoption in systems engineering. The complementary strengths and weaknesses of SysML and OWL motivate an interest in combining them in such a way that we can benefit from the attractive graphical notation of SysML and the formal reasoning of OWL. This paper describes an approach to achieving that combination.

  15. Improving Semantic Updating Method on 3d City Models Using Hybrid Semantic-Geometric 3d Segmentation Technique

    Science.gov (United States)

    Sharkawi, K.-H.; Abdul-Rahman, A.

    2013-09-01

    Cities and urban areas entities such as building structures are becoming more complex as the modern human civilizations continue to evolve. The ability to plan and manage every territory especially the urban areas is very important to every government in the world. Planning and managing cities and urban areas based on printed maps and 2D data are getting insufficient and inefficient to cope with the complexity of the new developments in big cities. The emergence of 3D city models have boosted the efficiency in analysing and managing urban areas as the 3D data are proven to represent the real world object more accurately. It has since been adopted as the new trend in buildings and urban management and planning applications. Nowadays, many countries around the world have been generating virtual 3D representation of their major cities. The growing interest in improving the usability of 3D city models has resulted in the development of various tools for analysis based on the 3D city models. Today, 3D city models are generated for various purposes such as for tourism, location-based services, disaster management and urban planning. Meanwhile, modelling 3D objects are getting easier with the emergence of the user-friendly tools for 3D modelling available in the market. Generating 3D buildings with high accuracy also has become easier with the availability of airborne Lidar and terrestrial laser scanning equipments. The availability and accessibility to this technology makes it more sensible to analyse buildings in urban areas using 3D data as it accurately represent the real world objects. The Open Geospatial Consortium (OGC) has accepted CityGML specifications as one of the international standards for representing and exchanging spatial data, making it easier to visualize, store and manage 3D city models data efficiently. CityGML able to represents the semantics, geometry, topology and appearance of 3D city models in five well-defined Level-of-Details (LoD), namely LoD0

  16. A Semantic Web management model for integrative biomedical informatics.

    Directory of Open Access Journals (Sweden)

    Helena F Deus

    Full Text Available BACKGROUND: Data, data everywhere. The diversity and magnitude of the data generated in the Life Sciences defies automated articulation among complementary efforts. The additional need in this field for managing property and access permissions compounds the difficulty very significantly. This is particularly the case when the integration involves multiple domains and disciplines, even more so when it includes clinical and high throughput molecular data. METHODOLOGY/PRINCIPAL FINDINGS: The emergence of Semantic Web technologies brings the promise of meaningful interoperation between data and analysis resources. In this report we identify a core model for biomedical Knowledge Engineering applications and demonstrate how this new technology can be used to weave a management model where multiple intertwined data structures can be hosted and managed by multiple authorities in a distributed management infrastructure. Specifically, the demonstration is performed by linking data sources associated with the Lung Cancer SPORE awarded to The University of Texas MD Anderson Cancer Center at Houston and the Southwestern Medical Center at Dallas. A software prototype, available with open source at www.s3db.org, was developed and its proposed design has been made publicly available as an open source instrument for shared, distributed data management. CONCLUSIONS/SIGNIFICANCE: The Semantic Web technologies have the potential to addresses the need for distributed and evolvable representations that are critical for systems Biology and translational biomedical research. As this technology is incorporated into application development we can expect that both general purpose productivity software and domain specific software installed on our personal computers will become increasingly integrated with the relevant remote resources. In this scenario, the acquisition of a new dataset should automatically trigger the delegation of its analysis.

  17. On the Grammar and Model-Theoretic Semantics of Children's Noun Phrases.

    Science.gov (United States)

    Suppes, Patrick

    The paper shows informally how model-theoretical semantics may be used by a computer to give a straight-forward analysis of the meaning of children's language. This approach to semantics grows out of the main thrust of work in mathematical logic. It is discussed in the framework of generative grammar and is based on the application of the…

  18. Semantic product modelling and configuration : Challenges and opportunities

    NARCIS (Netherlands)

    Böhms, M.; Bonsma, P.; Bourdeau, M.; Samad, A.

    2009-01-01

    The European Semantic Web-based Open engineering Platform, project (SWOP 2008) is concerned with business innovation when specifying products to suit end-user's requirements and objectives This paper will show how Semantic Web (SW) technology of the Word Wide Web Consortium (W3C) can be used to its

  19. Symbolic Game Semantics for Model Checking Program Families

    DEFF Research Database (Denmark)

    Dimovski, Aleksandar

    2016-01-01

    . In this paper, we propose an efficient game semantics based approach for verifying open program families, i.e. program families with free (undefined) identifiers. We use symbolic representation of algorithmic game semantics, where concrete values are replaced with symbolic ones. In this way, we can compactly...

  20. Semantic product modelling and configuration : Challenges and opportunities

    NARCIS (Netherlands)

    Böhms, M.; Bonsma, P.; Bourdeau, M.; Samad, A.

    2009-01-01

    The European Semantic Web-based Open engineering Platform, project (SWOP 2008) is concerned with business innovation when specifying products to suit end-user's requirements and objectives This paper will show how Semantic Web (SW) technology of the Word Wide Web Consortium (W3C) can be used to its

  1. An Application of the Geo-Semantic Micro-services in Seamless Data-Model Integration

    Science.gov (United States)

    Jiang, P.; Elag, M.; Kumar, P.; Liu, R.; Hu, Y.; Marini, L.; Peckham, S. D.; Hsu, L.

    2016-12-01

    Seamless data-model integration is usually difficult due to the heterogeneity of the entities (i.e., data and model). These heterogeneities arise from different usages of variable names, units, tempo-spatial property, file formant and programming language. Semantic web technology provides an opportunity to lower the interoperability barrier of data-model integration by enriching the semantics of each entity. In this study, we show an example of seamlessly coupling Model-as-a-Service (MaaS) and Data-as-a-Service (DaaS) by using the micro-services developed in the Geo-Semantic project supported by NSF Earthcube program. The goal of the Geo-Semantic poject is to develop a set of micro-services, which are rooted in the semantic web technology, to couple the heterogeneous data and model. The considered MaaS and DaaS in this application are the web service models developed by adopting the Basic Model Interfaces and Clowder (an online data repository), respectively. Through the Geo-Semantic micro-services, we are able to enrich the semantics of data in Clowder by using the Semantic Annotation Service, find the data file required for the input of the model by using the Knowledge Discovery Service, and transform the data file into the required format for the model's input by using the Resource Alignment Service. The entire orchestration is performed in Experimental Modeling Environment for Linking and Interoperability - Web Application, a web application for integrating the BMI-enabled web service TopoFlow components and Clowder-supported data from Intensely Managed Landscapes Critical Zone Observatory (IMLCZO). We demonstrate that it is possible to efficiently achieve seamless data-model integration by using the Geo-Semantic architecture, therefore potentially saving scientists huge amounts of time in data preparation for models.

  2. Three-Mode Models and Individual Differences in Semantic Differential Data.

    Science.gov (United States)

    Murakami, Takashi; Kroonenberg, Pieter M.

    2003-01-01

    Demonstrated how individual differences in semantic differential data can be modeled and assessed using three-mode models by studying the characterization of Chopin's "Preludes" by 38 Japanese college students. (SLD)

  3. A DNA-based semantic fusion model for remote sensing data.

    Directory of Open Access Journals (Sweden)

    Heng Sun

    Full Text Available Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology.

  4. A DNA-based semantic fusion model for remote sensing data.

    Science.gov (United States)

    Sun, Heng; Weng, Jian; Yu, Guangchuang; Massawe, Richard H

    2013-01-01

    Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology.

  5. Continuation-like semantics for modeling structural process anomalies

    Directory of Open Access Journals (Sweden)

    Grewe Niels

    2012-09-01

    Full Text Available Abstract Background Biomedical ontologies usually encode knowledge that applies always or at least most of the time, that is in normal circumstances. But for some applications like phenotype ontologies it is becoming increasingly important to represent information about aberrations from a norm. These aberrations may be modifications of physiological structures, but also modifications of biological processes. Methods To facilitate precise definitions of process-related phenotypes, such as delayed eruption of the primary teeth or disrupted ocular pursuit movements, I introduce a modeling approach that draws inspiration from the use of continuations in the analysis of programming languages and apply a similar idea to ontological modeling. This approach characterises processes by describing their outcome up to a certain point and the way they will continue in the canonical case. Definitions of process types are then given in terms of their continuations and anomalous phenotypes are defined by their differences to the canonical definitions. Results The resulting model is capable of accurately representing structural process anomalies. It allows distinguishing between different anomaly kinds (delays, interruptions, gives identity criteria for interrupted processes, and explains why normal and anomalous process instances can be subsumed under a common type, thus establishing the connection between canonical and anomalous process-related phenotypes. Conclusion This paper shows how to to give semantically rich definitions of process-related phenotypes. These allow to expand the application areas of phenotype ontologies beyond literature annotation and establishment of genotype-phenotype associations to the detection of anomalies in suitably encoded datasets.

  6. A model-driven approach for representing clinical archetypes for Semantic Web environments.

    Science.gov (United States)

    Martínez-Costa, Catalina; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Maldonado, José Alberto

    2009-02-01

    The life-long clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. There are currently different standards for representing and exchanging EHR information among different systems. In advanced EHR approaches, clinical information is represented by means of archetypes. Most of these approaches use the Archetype Definition Language (ADL) to specify archetypes. However, ADL has some drawbacks when attempting to perform semantic activities in Semantic Web environments. In this work, Semantic Web technologies are used to specify clinical archetypes for advanced EHR architectures. The advantages of using the Ontology Web Language (OWL) instead of ADL are described and discussed in this work. Moreover, a solution combining Semantic Web and Model-driven Engineering technologies is proposed to transform ADL into OWL for the CEN EN13606 EHR architecture.

  7. Can Lies Be Detected Unconsciously?

    Directory of Open Access Journals (Sweden)

    David eShanks

    2015-08-01

    Full Text Available People are typically poor at telling apart truthful and deceptive statements. Based on the Unconscious Thought Theory, it has been suggested that poor lie detection arises from the intrinsic limitations of conscious thinking and can be improved by facilitating the contribution of unconscious thought. In support of this hypothesis, Reinhard, Greifeneder, and Scharmach (2013 observed improved lie detection among participants engaging in unconscious thought. The present study aimed to replicate this unconscious thought advantage using a similar experimental procedure but with an important improvement in a key control condition. Specifically, participants judged the truthfulness of 8 video recordings in three thinking modes: immediately after watching them or after a period of unconscious or conscious deliberation. Results from two experiments (combined N = 226 failed to reveal a significant difference in lie detection accuracy between the thinking modes, even after efforts were made to facilitate the occurrence of an unconscious thought advantage in Experiment 2. The results imply that the unconscious thought advantage in deception detection is not a robust phenomenon.

  8. Interconnected growing self-organizing maps for auditory and semantic acquisition modeling

    Directory of Open Access Journals (Sweden)

    Mengxue eCao

    2014-03-01

    Full Text Available Based on the incremental nature of knowledge acquisition, in this study we propose a growing self-organizing neural network approach for modeling the acquisition of auditory and semantic categories. We introduce an Interconnected Growing Self-Organizing Maps (I-GSOM algorithm, which takes associations between auditory information and semantic information into consideration, in this paper. Direct phonetic--semantic association is simulated in order to model the language acquisition in early phases, such as the babbling and imitation stages, in which no phonological representations exist. Based on the I-GSOM algorithm, we conducted experiments using paired acoustic and semantic training data. We use a cyclical reinforcing and reviewing training procedure to model the teaching and learning process between children and their communication partners; a reinforcing-by-link training procedure and a link-forgetting procedure are introduced to model the acquisition of associative relations between auditory and semantic information. Experimental results indicate that (1 I-GSOM has good ability to learn auditory and semantic categories presented within the training data; (2 clear auditory and semantic boundaries can be found in the network representation; (3 cyclical reinforcing and reviewing training leads to a detailed categorization as well as to a detailed clustering, while keeping the clusters that have already been learned and the network structure that has already been developed stable; and (4 reinforcing-by-link training leads to well-perceived auditory--semantic associations. Our I-GSOM model suggests that it is important to associate auditory information with semantic information during language acquisition. Despite its high level of abstraction, our I-GSOM approach can be interpreted as a biologically-inspired neurocomputational model.

  9. Semantic Model of Variability and Capabilities of IoT Applications for Embedded Software Ecosystems

    DEFF Research Database (Denmark)

    Tomlein, Matus; Grønbæk, Kaj

    2016-01-01

    have also identified a need to model their deployment topology and functionality in order to enable their seamless integration into the platform. In this paper, we draw from research in related fields and present a model of IoT applications. It is built using semantic annotations and uses semantic...... conclude that it is suitable for modeling applications in IoT software ecosystems since it is more adaptable and expressive than the alternatives....

  10. Semantic Model of Variability and Capabilities of IoT Applications for Embedded Software Ecosystems

    DEFF Research Database (Denmark)

    Tomlein, Matus; Grønbæk, Kaj

    have also identified a need to model their deployment topology and functionality in order to enable their seamless integration into the platform. In this paper, we draw from research in related fields and present a model of IoT applications. It is built using semantic annotations and uses semantic...... conclude that it is suitable for modeling applications in IoT software ecosystems since it is more adaptable and expressive than the alternatives....

  11. Collaborative Product Configuration Model in Networked Manufacturing Based on Semantic Web%投稿须知

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Aim at the requirements of collaborative product configuration design in networked manufacturing, a collaborative product configuration model based on semantic web was exploredA semantic web-based structure of the collaborative product configuration model was proposedAnd a product configuration design workflow model was constructedThe collaborative product configuration ontology was constructed by definition of semantic-based metadata of collaborative product configuration information. The ontology was used for semantic annotation of information that dispersed in the network.So the product configuration information can shared between collaborative enterprises in networked manufacturing.And the efficiency of distribute information exchange and the collaborative product development level can be improved,The validity of the model was verified by applying the model into a networked collaborative design platform.

  12. Genre-adaptive Semantic Computing and Audio-based Modelling for Music Mood Annotation

    DEFF Research Database (Denmark)

    Saari, Pasi; Fazekas, György; Eerola, Tuomas

    2016-01-01

    This study investigates whether taking genre into account is beneficial for automatic music mood annotation in terms of core affects valence, arousal, and tension, as well as several other mood scales. Novel techniques employing genre-adaptive semantic computing and audio-based modelling......-based genre representation for genre-adaptive music mood analysis....... are proposed. A technique called the ACTwg employs genre-adaptive semantic computing of mood-related social tags, whereas ACTwg-SLPwg combines semantic computing and audio-based modelling, both in a genre-adaptive manner. The proposed techniques are experimentally evaluated at predicting listener ratings...

  13. A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES

    Directory of Open Access Journals (Sweden)

    G. Floros

    2016-10-01

    Full Text Available The methodologies of 3D modeling techniques have increasingly increased due to the rapid advances of new technologies. Nowadays, the focus of 3D modeling software is focused, not only to the finest visualization of the models, but also in their semantic features during the modeling procedure. As a result, the models thus generated are both realistic and semantically enriched. Additionally, various extensions of modeling software allow for the immediate conversion of the model’s format, via semi-automatic procedures with respect to the user’s scope. The aim of this paper is to investigate the generation of a semantically enriched Citygml building model via two different methodologies. The first methodology includes the modeling in Trimble SketchUp and the transformation in FME Desktop Manager, while the second methodology includes the model’s generation in CityEngine and its transformation in the CityGML format via the 3DCitiesProject extension for ArcGIS. Finally, the two aforesaid methodologies are being compared and specific characteristics are evaluated, in order to infer the methodology that is best applied depending on the different projects’ purposes.

  14. Structured Metametadata Model to Augment Semantic Searching Algorithms in Learning Content Repository

    Directory of Open Access Journals (Sweden)

    Amirah Ismail

    2011-08-01

    Full Text Available This paper discusses on a novel technique for semantic searching and retrieval of information about learning materials. A novel structured metametadata model has been created to provide the foundation for a semantic search engine to extract, match and map queries to retrieve relevant results. Metametadata encapsulate metadata instances by using the properties and attributes provided by ontologies rather than describing learning objects. The use of ontological views assists the pedagogical content of metadata extracted from learning objects by using the control vocabularies as identified from the metametadata taxonomy. The use of metametadata (based on the metametadata taxonomy supported by the ontologies have contributed towards a novel semantic searching mechanism. This research has presented a metametadata model for identifying semantics and describing learning objects in finer-grain detail that allows for intelligent and smart retrieval by automated search and retrieval software.

  15. Structured Metametadata Model to Augment Semantic Searching Algorithms in Learning Content Repository

    Directory of Open Access Journals (Sweden)

    Amirah Ismail

    2011-08-01

    Full Text Available This paper discusses on a novel technique for semantic searching and retrieval of information about learning materials. A novel structured metametadata model has been created to provide the foundation for a semantic search engine to extract, match and map queries to retrieve relevant results. Metametadata encapsulate metadata instances by using the properties and attributes provided by ontologies rather than describing learning objects. The use of ontological views assists the pedagogical content of metadata extracted from learning objects by using the control vocabularies as identified from the metametadata taxonomy. The use of metametadata (based on the metametadata taxonomy supported by the ontologies have contributed towards a novel semantic searching mechanism. This research has presented a metametadata model for identifying semantics and describing learning objects in finer-grain detail that allows for intelligent and smart retrieval by automated search and retrieval software.

  16. Unconscious fantasy: a once and future concept.

    Science.gov (United States)

    Litowitz, Bonnie E

    2007-01-01

    The concept of unconscious fantasy should be retained as fundamental to any psychoanalytic approach. The concept is reexamined in the face of two challenges: today's theoretical pluralism and the recent integration of findings from academic research. The first section reviews post-Freudian theoretical contributions to Freud's original concept, concluding that in its evolved form it is flexible enough to serve multiple perspectives. The second section examines four features identified with primary process thinking, demonstrating that a model of early mentation based on adult dream work cannot be supported by research on early development. However, the contemporary concept of unconscious fantasy is compatible with research findings from child development studies and cognitive neuroscience, permitting psychoanalysts to enter dialogue with those fields. Our contribution is not the posit of a new form of thinking (primary process) but an understanding of how general cognitive processes are enlisted for motivated purposes.

  17. Semantic Modeling of Requirements: Leveraging Ontologies in Systems Engineering

    Science.gov (United States)

    Mir, Masood Saleem

    2012-01-01

    The interdisciplinary nature of "Systems Engineering" (SE), having "stakeholders" from diverse domains with orthogonal facets, and need to consider all stages of "lifecycle" of system during conception, can benefit tremendously by employing "Knowledge Engineering" (KE) to achieve semantic agreement among all…

  18. Masked Translation Priming with Semantic Categorization: Testing the Sense Model

    Science.gov (United States)

    Wang, Xin; Forster, Kenneth I.

    2010-01-01

    Four experiments are reported which were designed to test hypotheses concerning the asymmetry of masked translation priming. Experiment 1 confirmed the presence of L2-L1 priming with a semantic categorization task and demonstrated that this effect was restricted to exemplars. Experiment 2 showed that the translation priming effect was not due to…

  19. Semantic Modeling of Requirements: Leveraging Ontologies in Systems Engineering

    Science.gov (United States)

    Mir, Masood Saleem

    2012-01-01

    The interdisciplinary nature of "Systems Engineering" (SE), having "stakeholders" from diverse domains with orthogonal facets, and need to consider all stages of "lifecycle" of system during conception, can benefit tremendously by employing "Knowledge Engineering" (KE) to achieve semantic agreement among all…

  20. Masked Translation Priming with Semantic Categorization: Testing the Sense Model

    Science.gov (United States)

    Wang, Xin; Forster, Kenneth I.

    2010-01-01

    Four experiments are reported which were designed to test hypotheses concerning the asymmetry of masked translation priming. Experiment 1 confirmed the presence of L2-L1 priming with a semantic categorization task and demonstrated that this effect was restricted to exemplars. Experiment 2 showed that the translation priming effect was not due to…

  1. Digital terrain model generalization incorporating scale, semantic and cognitive constraints

    Science.gov (United States)

    Partsinevelos, Panagiotis; Papadogiorgaki, Maria

    2014-05-01

    Cartographic generalization is a well-known process accommodating spatial data compression, visualization and comprehension under various scales. In the last few years, there are several international attempts to construct tangible GIS systems, forming real 3D surfaces using a vast number of mechanical parts along a matrix formation (i.e., bars, pistons, vacuums). Usually, moving bars upon a structured grid push a stretching membrane resulting in a smooth visualization for a given surface. Most of these attempts suffer either in their cost, accuracy, resolution and/or speed. Under this perspective, the present study proposes a surface generalization process that incorporates intrinsic constrains of tangible GIS systems including robotic-motor movement and surface stretching limitations. The main objective is to provide optimized visualizations of 3D digital terrain models with minimum loss of information. That is, to minimize the number of pixels in a raster dataset used to define a DTM, while reserving the surface information. This neighborhood type of pixel relations adheres to the basics of Self Organizing Map (SOM) artificial neural networks, which are often used for information abstraction since they are indicative of intrinsic statistical features contained in the input patterns and provide concise and characteristic representations. Nevertheless, SOM remains more like a black box procedure not capable to cope with possible particularities and semantics of the application at hand. E.g. for coastal monitoring applications, the near - coast areas, surrounding mountains and lakes are more important than other features and generalization should be "biased"-stratified to fulfill this requirement. Moreover, according to the application objectives, we extend the SOM algorithm to incorporate special types of information generalization by differentiating the underlying strategy based on topologic information of the objects included in the application. The final

  2. Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning.

    Science.gov (United States)

    Qiao, Hong; Li, Yinlin; Li, Fengfu; Xi, Xuanyang; Wu, Wei

    2016-10-01

    Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this paper, based on the recent biological evidence, we propose a framework to mimic the active and dynamic learning and recognition process of the primate visual cortex. From principle point of view, the main contributions are that the framework can achieve unsupervised learning of episodic features (including key components and their spatial relations) and semantic features (semantic descriptions of the key components), which support higher level cognition of an object. From performance point of view, the advantages of the framework are as follows: 1) learning episodic features without supervision-for a class of objects without a prior knowledge, the key components, their spatial relations and cover regions can be learned automatically through a deep neural network (DNN); 2) learning semantic features based on episodic features-within the cover regions of the key components, the semantic geometrical values of these components can be computed based on contour detection; 3) forming the general knowledge of a class of objects-the general knowledge of a class of objects can be formed, mainly including the key components, their spatial relations and average semantic values, which is a concise description of the class; and 4) achieving higher level cognition and dynamic updating-for a test image, the model can achieve classification and subclass semantic descriptions. And the test samples with high confidence are selected to dynamically update the whole model. Experiments are conducted on face images, and a good performance is achieved in each layer of the DNN and the semantic description learning process. Furthermore, the model can be generalized to recognition tasks of other objects with learning ability.

  3. Towards a framework for standardized semantic workflow modeling and management in the surgical domain

    Directory of Open Access Journals (Sweden)

    Neumann Juliane

    2015-09-01

    Full Text Available An essential aspect for workflow management support in operating room environments is the description and visualization of the underlying processes and activities in a machine readable format as Surgical Process Models (SPM. However, the process models often vary in terms of granularity, naming and representation of process elements and their modeling structure. The aim of this paper is to present a new methodology for standardized semantic workflow modeling and a framework for semantic work-flow execution and management in the surgical domain.

  4. A Neotropical Miocene Pollen Database Employing Image-Based Search and Semantic Modeling

    Directory of Open Access Journals (Sweden)

    Jing Ginger Han

    2014-08-01

    Full Text Available Premise of the study: Digital microscopic pollen images are being generated with increasing speed and volume, producing opportunities to develop new computational methods that increase the consistency and efficiency of pollen analysis and provide the palynological community a computational framework for information sharing and knowledge transfer. Methods: Mathematical methods were used to assign trait semantics (abstract morphological representations of the images of neotropical Miocene pollen and spores. Advanced database-indexing structures were built to compare and retrieve similar images based on their visual content. A Web-based system was developed to provide novel tools for automatic trait semantic annotation and image retrieval by trait semantics and visual content. Results: Mathematical models that map visual features to trait semantics can be used to annotate images with morphology semantics and to search image databases with improved reliability and productivity. Images can also be searched by visual content, providing users with customized emphases on traits such as color, shape, and texture. Discussion: Content- and semantic-based image searches provide a powerful computational platform for pollen and spore identification. The infrastructure outlined provides a framework for building a community-wide palynological resource, streamlining the process of manual identification, analysis, and species discovery.

  5. Genetic Optimization for Associative Semantic Ranking Models of Satellite Images by Land Cover

    Directory of Open Access Journals (Sweden)

    Nil Kilicay-Ergin

    2013-06-01

    Full Text Available Associative methods for content-based image ranking by semantics are attractive due to the similarity of generated models to human models of understanding. Although they tend to return results that are better understood by image analysts, the induction of these models is difficult to build due to factors that affect training complexity, such as coexistence of visual patterns in same images, over-fitting or under-fitting and semantic representation differences among image analysts. This article proposes a methodology to reduce the complexity of ranking satellite images for associative methods. Our approach employs genetic operations to provide faster and more accurate models for ranking by semantic using low level features. The added accuracy is provided by a reduction in the likelihood to reach local minima or to overfit. The experiments show that, using genetic optimization, associative methods perform better or at similar levels as state-of-the-art ensemble methods for ranking. The mean average precision (MAP of ranking by semantic was improved by 14% over similar associative methods that use other optimization techniques while maintaining smaller size for each semantic model.

  6. A spatio-velocity model based semantic event detection algorithm for traffic surveillance video

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Detection of vehicle events is a research hotspot in digital traffic.In this paper,an approach is proposed to detect vehicle events with semantic analysis of traffic surveillance video using spatio-velocity statistic models.The approach includes two successive phases:trajectory clustering and semantic events detection.For trajectory clustering,a statistic model of vehicle trajectories are presented,for which a spatio-velocity model is trained by analyzing the trajectories of moving vehicles in the scene.Based on the trajectory,which represents both the position of the vehicle and its instantaneous velocity,a trajectory similarity measure is proposed.Then,an improved hierarchical clustering algorithm is adopted to cluster the trajectories according to different spatial and velocity distributions.In each cluster,trajectories that are spatially close have similar velocities of motion and represent one type of activity pattern.For the semantic events detection phase,statistic models of semantic regions in the scene are generated by estimating the probability density and velocity distributions of each type of activity pattern.Finally,semantic events are detected by the proposed spatio-velocity statistic models.The paper also presents experiments using real video sequence to verify the effectiveness of the proposed method.

  7. A semantically enriched web usage based recommendation model

    CERN Document Server

    Ramesh, C; Govardhan, A

    2011-01-01

    With the rapid growth of internet technologies, Web has become a huge repository of information and keeps growing exponentially under no editorial control. However the human capability to read, access and understand Web content remains constant. This motivated researchers to provide Web personalized online services such as Web recommendations to alleviate the information overload problem and provide tailored Web experiences to the Web users. Recent studies show that Web usage mining has emerged as a popular approach in providing Web personalization. However conventional Web usage based recommender systems are limited in their ability to use the domain knowledge of the Web application. The focus is only on Web usage data. As a consequence the quality of the discovered patterns is low. In this paper, we propose a novel framework integrating semantic information in the Web usage mining process. Sequential Pattern Mining technique is applied over the semantic space to discover the frequent sequential patterns. Th...

  8. MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing

    Science.gov (United States)

    2013-09-01

    study of human language in terms of neonatal development and evolution in human physiology, sociology, and psychology [1][2]. It offers a different...simple, and universally understood. They are the fundamental gestalts for reasoning. In semantic sensing domain, things would be the most common objects...related places. The cognitive linguistics notion of path organizes places into the structure of an event. A path is a precognitive gestalt that

  9. A SEMANTICALLY ENRICHED WEB USAGE BASED RECOMMENDATION MODEL

    Directory of Open Access Journals (Sweden)

    C.Ramesh

    2011-11-01

    Full Text Available With the rapid growth of internet technologies, Web has become a huge repository of information andkeeps growing exponentially under no editorial control. However the human capability to read, accessand understand Web content remains constant. This motivated researchers to provide Web personalizedonline services such as Web recommendations to alleviate the information overload problem and providetailored Web experiences to the Web users. Recent studies show that Web usage mining has emerged as apopular approach in providing Web personalization. However conventional Web usage basedrecommender systems are limited in their ability to use the domain knowledge of the Web application.The focus is only on Web usage data. As a consequence the quality of the discovered patterns is low. Inthis paper, we propose a novel framework integrating semantic information in the Web usage miningprocess. Sequential Pattern Mining technique is applied over the semantic space to discover the frequentsequential patterns. The frequent navigational patterns are extracted in the form of Ontology instancesinstead of Web page views and the resultant semantic patterns are used for generating Web pagerecommendations to the user. Experimental results shown are promising and proved that incorporatingsemantic information into Web usage mining process can provide us with more interesting patterns whichconsequently make the recommendation system more functional, smarter and comprehensive

  10. A model-driven approach for composing SAWSDL semantic Web services

    CERN Document Server

    Belouadha, Fatima-Zahra; Roudies, Ounsa

    2010-01-01

    Composing Web services is a convenient means of dealing with complex requests. However, the number of Web services on the Internet is increasing. This explains the growing interest in composing Web services automatically. Nevertheless, the Web services' semantics is necessary for any dynamic composition process. In this article, we present an MDA approach to develop and compose SAWSDL semantic Web services. To model Web services, we use a UML profile which is independent of the description standards. The SAWSDL interface files are generated by using transformation rules. To model the behavior of a composite Web service and generate its executable BPEL file, we use the BPMN notation in a platform of modeling and implementing business process. The main contribution of this work is the easy and extensible solution to a model-driven development of the semantic atomic and composite Web services.

  11. A model-driven approach for composing SAWSDL semantic Web services

    Directory of Open Access Journals (Sweden)

    Fatima-Zahra Belouadha

    2010-03-01

    Full Text Available Composing Web services is a convenient means of dealing with complex requests. However, the number of Web services on the Internet is increasing. This explains the growing interest in composing Web services automatically. Nevertheless, the Web services' semantics is necessary for any dynamic composition process. In this article, we present an MDA approach to develop and compose SAWSDL semantic Web services. To model Web services, we use a UML profile which is independent of the description standards. The SAWSDL interface files are generated by using transformation rules. To model the behavior of a composite Web service and generate its executable BPEL file, we use the BPMN notation in a platform of modeling and implementing business process. The main contribution of this work is the easy and extensible solution to a model-driven development of the semantic atomic and composite Web services.

  12. Multilevel spatial semantic model for urban house information extraction automatically from QuickBird imagery

    Science.gov (United States)

    Guan, Li; Wang, Ping; Liu, Xiangnan

    2006-10-01

    Based on the introduction to the characters and constructing flow of space semantic model, the feature space and context of house information in high resolution remote sensing image are analyzed, and the house semantic network model of Quick Bird image is also constructed. Furthermore, the accuracy and practicability of space semantic model are checked up through extracting house information automatically from Quick Bird image after extracting candidate semantic nodes to the image by taking advantage of grey division method, window threshold value method and Hough transformation. Sample result indicates that its type coherence, shape coherence and area coherence are 96.75%, 89.5 % and 88 % respectively. Thereinto the effect of the extraction of the houses with rectangular roof is the best and that with herringbone and the polygonal roofs is just ideal. However, the effect of the extraction of the houses with round roof is not satisfied and thus they need the further perfection to the semantic model to make them own higher applied value.

  13. Methodological pitfalls of the Unconscious Thought paradigm

    NARCIS (Netherlands)

    Waroquier, Laurent; Marchiori, David; Klein, Olivier; Cleeremans, Axel

    2009-01-01

    According to Unconscious Thought Theory (UTT: Dijksterhuis & Nordgren, 2006), complex decisions are best made after a period of distraction assumed to elicit "unconscious thought". Over three studies, respectively offering a conceptual, an identical and a methodologically improved replication of Dij

  14. Image Semantic Automatic Annotation by Relevance Feedback

    Institute of Scientific and Technical Information of China (English)

    ZHANG Tong-zhen; SHEN Rui-min

    2007-01-01

    A large semantic gap exists between content based index retrieval (CBIR) and high-level semantic, additional semantic information should be attached to the images, it refers in three respects including semantic representation model, semantic information building and semantic retrieval techniques. In this paper, we introduce an associated semantic network and an automatic semantic annotation system. In the system, a semantic network model is employed as the semantic representation model, it uses semantic keywords, linguistic ontology and low-level features in semantic similarity calculating. Through several times of users' relevance feedback, semantic network is enriched automatically. To speed up the growth of semantic network and get a balance annotation, semantic seeds and semantic loners are employed especially.

  15. Semantic modeling and interoperability in product and process engineering a technology for engineering informatics

    CERN Document Server

    2013-01-01

    In the past decade, feature-based design and manufacturing has gained some momentum in various engineering domains to represent and reuse semantic patterns with effective applicability. However, the actual scope of feature application is still very limited. Semantic Modeling and Interoperability in Product and Process Engineering provides a systematic solution for the challenging engineering informatics field aiming at the enhancement of sustainable knowledge representation, implementation and reuse in an open and yet practically manageable scale.   This semantic modeling technology supports uniform, multi-facet and multi-level collaborative system engineering with heterogeneous computer-aided tools, such as CADCAM, CAE, and ERP.  This presented unified feature model can be applied to product and process representation, development, implementation and management. Practical case studies and test samples are provided to illustrate applications which can be implemented by the readers in real-world scenarios. �...

  16. Subjective measures of unconscious knowledge.

    Science.gov (United States)

    Dienes, Zoltán

    2008-01-01

    The chapter gives an overview of the use of subjective measures of unconscious knowledge. Unconscious knowledge is knowledge we have, and could very well be using, but we are not aware of. Hence appropriate methods for indicating unconscious knowledge must show that the person (a) has knowledge but (b) does not know that she has it. One way of determining awareness of knowing is by taking confidence ratings after making judgments. If the judgments are above baseline but the person believes they are guessing (guessing criterion) or confidence does not relate to accuracy (zero-correlation criterion) there is evidence of unconscious knowledge. The way these methods can deal with the problem of bias is discussed, as is the use of different types of confidence scales. The guessing and zero-correlation criteria show whether or not the person is aware of knowing the content of the judgment, but not whether the person is aware of what any knowledge was that enabled the judgment. Thus, a distinction is made between judgment and structural knowledge, and it is shown how the conscious status of the latter can also be assessed. Finally, the use of control over the use of knowledge as a subjective measure of judgment knowledge is illustrated. Experiments using artificial grammar learning and a serial reaction time task explore these issues.

  17. [The collective unconscious: from image to symbol].

    Science.gov (United States)

    Brasseur, E

    1995-01-01

    With the help of clinical examples, the author tries to show how the therapeutic process works in Jung's theory of Unconscious: in the course of transference, the Unconscious generates Images which are coming from the Archetypes of Collective Unconscious. The interpretation of these Images and dreamer's associations trough transference, leads the patient to elaborate Symbols as carriers of a new sense for himself.

  18. Mean-Field Semantics for a Process Calculus for Spatially-Explicit Ecological Models

    Directory of Open Access Journals (Sweden)

    Mauricio Toro

    2016-03-01

    Full Text Available We define a mean-field semantics for S-PALPS, a process calculus for spatially-explicit, individual-based modeling of ecological systems. The new semantics of S-PALPS allows an interpretation of the average behavior of a system as a set of recurrence equations. Recurrence equations are a useful approximation when dealing with a large number of individuals, as it is the case in epidemiological studies. As a case study, we compute a set of recurrence equations capturing the dynamics of an individual-based model of the transmission of dengue in Bello (Antioquia, Colombia.

  19. A Constructor—Based EI—Model Semantics of EI—CTRS

    Institute of Scientific and Technical Information of China (English)

    王怀民

    1995-01-01

    This paper investigates the semantics of conditional term rewriting systems with negation (denoted by EI-CTRS),called constructor-based EI-model semantics.The introduction of “≠” in EI-CTRS make EI-CTRS more difficult to study.This is in part because of a failure of EI-CTRS to guarantee that there exist least Herbrand models in classical logical point of views.The key idea of EI-model is to explain that t≠s” means that the two concepts represented by t and s respectively actually belong to distinguished basic concepts represented by two constructor-ground terms.We define the concept of EI-model,and show that there exist least Herbrand EI-models for EI-satisfiable EI-CTRS.From algebraic and logic point of view,we show that there are very strong reasons for regarding the least Herbrand EI-models as the intended semantics of EI-CTRS.According to fixpoint theory,we develop a method to construct least Herbrand EI-models in a bottom-up manner.Moreover,we discuss soundness and completeness of EI-rewrite for EI-model semantics.

  20. A Metadata Model for E-Learning Coordination through Semantic Web Languages

    Science.gov (United States)

    Elci, Atilla

    2005-01-01

    This paper reports on a study aiming to develop a metadata model for e-learning coordination based on semantic web languages. A survey of e-learning modes are done initially in order to identify content such as phases, activities, data schema, rules and relations, etc. relevant for a coordination model. In this respect, the study looks into the…

  1. Combining ship trajectories and semantics with the simple event model (SEM)

    NARCIS (Netherlands)

    W.R. van Hage; V. Malaisé; G. de Vries; G. Schreiber; M. van Someren

    2009-01-01

    Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the Multimedia community. Event modeling can fill the gap. In this paper we present the Simple Event Model (SEM) and its application in a Maritime Safety and Security use case about Situational Awareness.

  2. A Collaborative System Software Solution for Modeling Business Flows Based on Automated Semantic Web Service Composition

    Directory of Open Access Journals (Sweden)

    Ion SMEUREANU

    2009-01-01

    Full Text Available Nowadays, business interoperability is one of the key factors for assuring competitive advantage for the participant business partners. In order to implement business cooperation, scalable, distributed and portable collaborative systems have to be implemented. This article presents some of the mostly used technologies in this field. Furthermore, it presents a software application architecture based on Business Process Modeling Notation standard and automated semantic web service coupling for modeling business flow in a collaborative manner. The main business processes will be represented in a single, hierarchic flow diagram. Each element of the diagram will represent calls to semantic web services. The business logic (the business rules and constraints will be structured with the help of OWL (Ontology Web Language. Moreover, OWL will also be used to create the semantic web service specifications.

  3. Hybrid ontology for semantic information retrieval model using keyword matching indexing system.

    Science.gov (United States)

    Uthayan, K R; Mala, G S Anandha

    2015-01-01

    Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical or information domain is significant in recent calculations for assisting the best match for specific input queries. This research presents a better querying mechanism for information retrieval which integrates the ontology queries with keyword search. The ontology-based query is changed into a primary order to predicate logic uncertainty which is used for routing the query to the appropriate servers. Matching algorithms characterize warm area of researches in computer science and artificial intelligence. In text matching, it is more dependable to study semantics model and query for conditions of semantic matching. This research develops the semantic matching results between input queries and information in ontology field. The contributed algorithm is a hybrid method that is based on matching extracted instances from the queries and information field. The queries and information domain is focused on semantic matching, to discover the best match and to progress the executive process. In conclusion, the hybrid ontology in semantic web is sufficient to retrieve the documents when compared to standard ontology.

  4. Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System

    Directory of Open Access Journals (Sweden)

    K. R. Uthayan

    2015-01-01

    Full Text Available Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical or information domain is significant in recent calculations for assisting the best match for specific input queries. This research presents a better querying mechanism for information retrieval which integrates the ontology queries with keyword search. The ontology-based query is changed into a primary order to predicate logic uncertainty which is used for routing the query to the appropriate servers. Matching algorithms characterize warm area of researches in computer science and artificial intelligence. In text matching, it is more dependable to study semantics model and query for conditions of semantic matching. This research develops the semantic matching results between input queries and information in ontology field. The contributed algorithm is a hybrid method that is based on matching extracted instances from the queries and information field. The queries and information domain is focused on semantic matching, to discover the best match and to progress the executive process. In conclusion, the hybrid ontology in semantic web is sufficient to retrieve the documents when compared to standard ontology.

  5. Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys

    Science.gov (United States)

    Macioł, Piotr; Regulski, Krzysztof

    2016-08-01

    We present a process of semantic meta-model development for data management in an adaptable multiscale modeling framework. The main problems in ontology design are discussed, and a solution achieved as a result of the research is presented. The main concepts concerning the application and data management background for multiscale modeling were derived from the AM3 approach—object-oriented Agile multiscale modeling methodology. The ontological description of multiscale models enables validation of semantic correctness of data interchange between submodels. We also present a possibility of using the ontological model as a supervisor in conjunction with a multiscale model controller and a knowledge base system. Multiscale modeling formal ontology (MMFO), designed for describing multiscale models' data and structures, is presented. A need for applying meta-ontology in the MMFO development process is discussed. Examples of MMFO application in describing thermo-mechanical treatment of metal alloys are discussed. Present and future applications of MMFO are described.

  6. A Dynamic Defense Modeling and Simulation Methodology using Semantic Web Services

    Directory of Open Access Journals (Sweden)

    Kangsun Lee

    2010-04-01

    Full Text Available Defense Modeling and Simulations require interoperable and autonomous federates in order to fully simulate complex behavior of war-fighters and to dynamically adapt themselves to various war-game events, commands and controls. In this paper, we propose a semantic web service based methodology to develop war-game simulations. Our methodology encapsulates war-game logic into a set of web services with additional semantic information in WSDL (Web Service Description Language and OWL (Web Ontology Language. By utilizing dynamic discovery and binding power of semantic web services, we are able to dynamically reconfigure federates according to various simulation events. An ASuW (Anti-Surface Warfare simulator is constructed to demonstrate the methodology and successfully shows that the level of interoperability and autonomy can be greatly improved.

  7. Encoding sequential information in semantic space models: comparing holographic reduced representation and random permutation.

    Science.gov (United States)

    Recchia, Gabriel; Sahlgren, Magnus; Kanerva, Pentti; Jones, Michael N

    2015-01-01

    Circular convolution and random permutation have each been proposed as neurally plausible binding operators capable of encoding sequential information in semantic memory. We perform several controlled comparisons of circular convolution and random permutation as means of encoding paired associates as well as encoding sequential information. Random permutations outperformed convolution with respect to the number of paired associates that can be reliably stored in a single memory trace. Performance was equal on semantic tasks when using a small corpus, but random permutations were ultimately capable of achieving superior performance due to their higher scalability to large corpora. Finally, "noisy" permutations in which units are mapped to other units arbitrarily (no one-to-one mapping) perform nearly as well as true permutations. These findings increase the neurological plausibility of random permutations and highlight their utility in vector space models of semantics.

  8. Encoding Sequential Information in Semantic Space Models: Comparing Holographic Reduced Representation and Random Permutation

    Directory of Open Access Journals (Sweden)

    Gabriel Recchia

    2015-01-01

    Full Text Available Circular convolution and random permutation have each been proposed as neurally plausible binding operators capable of encoding sequential information in semantic memory. We perform several controlled comparisons of circular convolution and random permutation as means of encoding paired associates as well as encoding sequential information. Random permutations outperformed convolution with respect to the number of paired associates that can be reliably stored in a single memory trace. Performance was equal on semantic tasks when using a small corpus, but random permutations were ultimately capable of achieving superior performance due to their higher scalability to large corpora. Finally, “noisy” permutations in which units are mapped to other units arbitrarily (no one-to-one mapping perform nearly as well as true permutations. These findings increase the neurological plausibility of random permutations and highlight their utility in vector space models of semantics.

  9. Towards semantically sensitive text clustering: a feature space modeling technology based on dimension extension.

    Science.gov (United States)

    Liu, Yuanchao; Liu, Ming; Wang, Xin

    2015-01-01

    The objective of text clustering is to divide document collections into clusters based on the similarity between documents. In this paper, an extension-based feature modeling approach towards semantically sensitive text clustering is proposed along with the corresponding feature space construction and similarity computation method. By combining the similarity in traditional feature space and that in extension space, the adverse effects of the complexity and diversity of natural language can be addressed and clustering semantic sensitivity can be improved correspondingly. The generated clusters can be organized using different granularities. The experimental evaluations on well-known clustering algorithms and datasets have verified the effectiveness of our approach.

  10. Towards Semantically Integrated Models and Tools for Cyber-Physical Systems Design

    DEFF Research Database (Denmark)

    Larsen, Peter Gorm; Fitzgerald, John; Woodcock, Jim

    2016-01-01

    We describe an approach to the model-based engineering of embedded and cyber-physical systems, based on the semantic integration of diverse discipline-specific notations and tools. Using the example of a small unmanned aerial vehicle, we explain the need for multiple notations and collaborative...

  11. Synthesis of semantic modelling and risk analysis methodology applied to animal welfare

    NARCIS (Netherlands)

    Bracke, M.B.M.; Edwards, S.A.; Metz, J.H.M.; Noordhuizen, J.P.T.M.; Algers, B.

    2008-01-01

    Decision-making on animal welfare issues requires a synthesis of information. For the assessment of farm animal welfare based on scientific information collected in a database, a methodology called `semantic modelling¿ has been developed. To date, however, this methodology has not been generally app

  12. An XPath-based OWL storage model for effective ontology management in Semantic Web environment

    Institute of Scientific and Technical Information of China (English)

    Jinhyung KIM; Dongwon JEONG; Doo-kwon BAIK

    2009-01-01

    With the rapid growth of the Web, the volume of information on the Web is increasing exponentially. However,information on the current Web is only understandable to humans, and this makes precise information retrieval difficult. To solve this problem, the Semantic Web was proposed. We must use ontology languages that can assign data the semantics for realizing the Semantic Web. One of the representative ontology languages is the Web ontology language OWL, adopted as a recommendation by the World-Wide Web Consortium (W3C). OWL includes hierarchical structural information between classes or properties. Therefore, an efficient OWL storage model that considers a hierarchical structure for effective information retrieval on the Semantic Web is required. In this paper we suggest an XPath-based OWL storage (XPOS) model, which includes hierarchical information between classes or properties in XPath form, and enables intuitive and effective information retrieval. Also, we show the comparative evaluation results for the performance of the XPOS model, Sesame, and the XML file system-based storage (XFSS) model, in terms of query processing and ontology updating.

  13. Spatio-Temporal Change Modeling of Lulc: a Semantic Kriging Approach

    Science.gov (United States)

    Bhattacharjee, S.; Ghosh, S. K.

    2015-07-01

    Spatio-temporal land-use/ land-cover (LULC) change modeling is important to forecast the future LULC distribution, which may facilitate natural resource management, urban planning, etc. The spatio-temporal change in LULC trend often exhibits non-linear behavior, due to various dynamic factors, such as, human intervention (e.g., urbanization), environmental factors, etc. Hence, proper forecasting of LULC distribution should involve the study and trend modeling of historical data. Existing literatures have reported that the meteorological attributes (e.g., NDVI, LST, MSI), are semantically related to the terrain. Being influenced by the terrestrial dynamics, the temporal changes of these attributes depend on the LULC properties. Hence, incorporating meteorological knowledge into the temporal prediction process may help in developing an accurate forecasting model. This work attempts to study the change in inter-annual LULC pattern and the distribution of different meteorological attributes of a region in Kolkata (a metropolitan city in India) during the years 2000-2010 and forecast the future spread of LULC using semantic kriging (SemK) approach. A new variant of time-series SemK is proposed, namely Rev-SemKts to capture the multivariate semantic associations between different attributes. From empirical analysis, it may be observed that the augmentation of semantic knowledge in spatio-temporal modeling of meteorological attributes facilitate more precise forecasting of LULC pattern.

  14. Towards Semantic-Web Based Representation and Harmonization of Standard Meta-data Models for Clinical Studies

    OpenAIRE

    Tao, Cui; Jiang, Guoqian; Wei, Weiqi; Solbrig, Harold R; Chute, Christopher G

    2011-01-01

    In this paper, we introduce our case studies for representing clinical study meta-data models such as the HL7 Detailed Clinical Models (DCMs) and the ISO11179 model in a framework that is based on the Semantic-Web technology. We consider such a harmonization would provide computable semantics of the models, thus facilitate the model reuse, model harmonization and data integration.1

  15. Dadaism, Surrealism, and the Unconscious

    OpenAIRE

    Lagana, Louis;

    2013-01-01

    This paper explores two important, twentieth-century art movements, Dadaism and Surrealism and the use of primitivist representations and their relation to the art emerging from the unconscious. By giving some examples, it is argued that the influence of 'Primitive' art is strongly felt in the art of many artists of these movements. One must also include the growing interest of psychoanalytic studies, especially in the works of the period of Freud and Jung. The Dadaist artists created their a...

  16. Determinants of Multiple Semantic Priming: A Meta-Analysis and Spike Frequency Adaptive Model of a Cortical Network

    Science.gov (United States)

    Lavigne, Frederic; Dumercy, Laurent; Darmon, Nelly

    2011-01-01

    Recall and language comprehension while processing sequences of words involves multiple semantic priming between several related and/or unrelated words. Accounting for multiple and interacting priming effects in terms of underlying neuronal structure and dynamics is a challenge for current models of semantic priming. Further elaboration of current…

  17. Determinants of Multiple Semantic Priming: A Meta-Analysis and Spike Frequency Adaptive Model of a Cortical Network

    Science.gov (United States)

    Lavigne, Frederic; Dumercy, Laurent; Darmon, Nelly

    2011-01-01

    Recall and language comprehension while processing sequences of words involves multiple semantic priming between several related and/or unrelated words. Accounting for multiple and interacting priming effects in terms of underlying neuronal structure and dynamics is a challenge for current models of semantic priming. Further elaboration of current…

  18. A computational model of the lexical-semantic system based on a grounded cognition approach.

    Science.gov (United States)

    Ursino, Mauro; Cuppini, Cristiano; Magosso, Elisa

    2010-01-01

    This work presents a connectionist model of the semantic-lexical system based on grounded cognition. The model assumes that the lexical and semantic aspects of language are memorized in two distinct stores. The semantic properties of objects are represented as a collection of features, whose number may vary among objects. Features are described as activation of neural oscillators in different sensory-motor areas (one area for each feature) topographically organized to implement a similarity principle. Lexical items are represented as activation of neural groups in a different layer. Lexical and semantic aspects are then linked together on the basis of previous experience, using physiological learning mechanisms. After training, features which frequently occurred together, and the corresponding word-forms, become linked via reciprocal excitatory synapses. The model also includes some inhibitory synapses: features in the semantic network tend to inhibit words not associated with them during the previous learning phase. Simulations show that after learning, presentation of a cue can evoke the overall object and the corresponding word in the lexical area. Moreover, different objects and the corresponding words can be simultaneously retrieved and segmented via a time division in the gamma-band. Word presentation, in turn, activates the corresponding features in the sensory-motor areas, recreating the same conditions occurring during learning. The model simulates the formation of categories, assuming that objects belong to the same category if they share some features. Simple exempla are shown to illustrate how words representing a category can be distinguished from words representing individual members. Finally, the model can be used to simulate patients with focalized lesions, assuming an impairment of synaptic strength in specific feature areas.

  19. A Unified Process Model of Syntactic and Semantic Error Recovery in Sentence Understanding

    CERN Document Server

    Holbrook, J K; Mahesh, K; Holbrook, Jennifer K.; Eiselt, Kurt P.; Mahesh, Kavi

    1994-01-01

    The development of models of human sentence processing has traditionally followed one of two paths. Either the model posited a sequence of processing modules, each with its own task-specific knowledge (e.g., syntax and semantics), or it posited a single processor utilizing different types of knowledge inextricably integrated into a monolithic knowledge base. Our previous work in modeling the sentence processor resulted in a model in which different processing modules used separate knowledge sources but operated in parallel to arrive at the interpretation of a sentence. One highlight of this model is that it offered an explanation of how the sentence processor might recover from an error in choosing the meaning of an ambiguous word. Recent experimental work by Laurie Stowe strongly suggests that the human sentence processor deals with syntactic error recovery using a mechanism very much like that proposed by our model of semantic error recovery. Another way to interpret Stowe's finding is this: the human sente...

  20. Semantics-Based Composition of Integrated Cardiomyocyte Models Motivated by Real-World Use Cases.

    Science.gov (United States)

    Neal, Maxwell L; Carlson, Brian E; Thompson, Christopher T; James, Ryan C; Kim, Karam G; Tran, Kenneth; Crampin, Edmund J; Cook, Daniel L; Gennari, John H

    2015-01-01

    Semantics-based model composition is an approach for generating complex biosimulation models from existing components that relies on capturing the biological meaning of model elements in a machine-readable fashion. This approach allows the user to work at the biological rather than computational level of abstraction and helps minimize the amount of manual effort required for model composition. To support this compositional approach, we have developed the SemGen software, and here report on SemGen's semantics-based merging capabilities using real-world modeling use cases. We successfully reproduced a large, manually-encoded, multi-model merge: the "Pandit-Hinch-Niederer" (PHN) cardiomyocyte excitation-contraction model, previously developed using CellML. We describe our approach for annotating the three component models used in the PHN composition and for merging them at the biological level of abstraction within SemGen. We demonstrate that we were able to reproduce the original PHN model results in a semi-automated, semantics-based fashion and also rapidly generate a second, novel cardiomyocyte model composed using an alternative, independently-developed tension generation component. We discuss the time-saving features of our compositional approach in the context of these merging exercises, the limitations we encountered, and potential solutions for enhancing the approach.

  1. Semantics-Based Composition of Integrated Cardiomyocyte Models Motivated by Real-World Use Cases.

    Directory of Open Access Journals (Sweden)

    Maxwell L Neal

    Full Text Available Semantics-based model composition is an approach for generating complex biosimulation models from existing components that relies on capturing the biological meaning of model elements in a machine-readable fashion. This approach allows the user to work at the biological rather than computational level of abstraction and helps minimize the amount of manual effort required for model composition. To support this compositional approach, we have developed the SemGen software, and here report on SemGen's semantics-based merging capabilities using real-world modeling use cases. We successfully reproduced a large, manually-encoded, multi-model merge: the "Pandit-Hinch-Niederer" (PHN cardiomyocyte excitation-contraction model, previously developed using CellML. We describe our approach for annotating the three component models used in the PHN composition and for merging them at the biological level of abstraction within SemGen. We demonstrate that we were able to reproduce the original PHN model results in a semi-automated, semantics-based fashion and also rapidly generate a second, novel cardiomyocyte model composed using an alternative, independently-developed tension generation component. We discuss the time-saving features of our compositional approach in the context of these merging exercises, the limitations we encountered, and potential solutions for enhancing the approach.

  2. Uncovering highly obfuscated plagiarism cases using fuzzy semantic-based similarity model

    Directory of Open Access Journals (Sweden)

    Salha M. Alzahrani

    2015-07-01

    Full Text Available Highly obfuscated plagiarism cases contain unseen and obfuscated texts, which pose difficulties when using existing plagiarism detection methods. A fuzzy semantic-based similarity model for uncovering obfuscated plagiarism is presented and compared with five state-of-the-art baselines. Semantic relatedness between words is studied based on the part-of-speech (POS tags and WordNet-based similarity measures. Fuzzy-based rules are introduced to assess the semantic distance between source and suspicious texts of short lengths, which implement the semantic relatedness between words as a membership function to a fuzzy set. In order to minimize the number of false positives and false negatives, a learning method that combines a permission threshold and a variation threshold is used to decide true plagiarism cases. The proposed model and the baselines are evaluated on 99,033 ground-truth annotated cases extracted from different datasets, including 11,621 (11.7% handmade paraphrases, 54,815 (55.4% artificial plagiarism cases, and 32,578 (32.9% plagiarism-free cases. We conduct extensive experimental verifications, including the study of the effects of different segmentations schemes and parameter settings. Results are assessed using precision, recall, F-measure and granularity on stratified 10-fold cross-validation data. The statistical analysis using paired t-tests shows that the proposed approach is statistically significant in comparison with the baselines, which demonstrates the competence of fuzzy semantic-based model to detect plagiarism cases beyond the literal plagiarism. Additionally, the analysis of variance (ANOVA statistical test shows the effectiveness of different segmentation schemes used with the proposed approach.

  3. Extending the Real-Time Maude Semantics of Ptolemy to Hierarchical DE Models

    CERN Document Server

    Bae, Kyungmin; 10.4204/EPTCS.36.3

    2010-01-01

    This paper extends our Real-Time Maude formalization of the semantics of flat Ptolemy II discrete-event (DE) models to hierarchical models, including modal models. This is a challenging task that requires combining synchronous fixed-point computations with hierarchical structure. The synthesis of a Real-Time Maude verification model from a Ptolemy II DE model, and the formal verification of the synthesized model in Real-Time Maude, have been integrated into Ptolemy II, enabling a model-engineering process that combines the convenience of Ptolemy II DE modeling and simulation with formal verification in Real-Time Maude.

  4. Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension.

    Science.gov (United States)

    Cheyette, Samuel J; Plaut, David C

    2016-11-18

    The study of the N400 event-related brain potential has provided fundamental insights into the nature of real-time comprehension processes, and its amplitude is modulated by a wide variety of stimulus and context factors. It is generally thought to reflect the difficulty of semantic access, but formulating a precise characterization of this process has proved difficult. Laszlo and colleagues (Laszlo & Plaut, 2012; Laszlo & Armstrong, 2014) used physiologically constrained neural networks to model the N400 as transient over-activation within semantic representations, arising as a consequence of the distribution of excitation and inhibition within and between cortical areas. The current work extends this approach to successfully model effects on both N400 amplitudes and behavior of word frequency, semantic richness, repetition, semantic and associative priming, and orthographic neighborhood size. The account is argued to be preferable to one based on "implicit semantic prediction error" (Rabovsky & McRae, 2014) for a number of reasons, the most fundamental of which is that the current model actually produces N400-like waveforms in its real-time activation dynamics.

  5. User Experience, Software Interfaces, and The Unconscious

    CERN Document Server

    Diamond, R V

    2009-01-01

    Ideas about how to make interaction between 'a human' and 'a computer' such that our unconscious will embrace it are developed in this tutorial paper. Evidence of impact of the unconscious functioning is presented. The unconscious is characterised as being a responsive, contextual, and autonomous participant of human-computer interaction. Unconscious participation occurs independently of one's cognitive and educational levels and, if ignored, leads to learning inefficiencies and compulsive behaviours, illustrations of which are provided. Three practical approaches to a study of subjective user experience are explored together with new interpretations of the current usability study methods, such as eye-tracking. Conclusions consider advantages and disadvantages of unconscious-embracing design and remind about evolutionary choices to be made as the unconscious functioning is accommodated in computer interfaces and built environment.

  6. UML 2 Semantics and Applications

    CERN Document Server

    Lano, Kevin

    2009-01-01

    A coherent and integrated account of the leading UML 2 semantics work and the practical applications of UML semantics development With contributions from leading experts in the field, the book begins with an introduction to UML and goes on to offer in-depth and up-to-date coverage of: The role of semantics Considerations and rationale for a UML system model Definition of the UML system model UML descriptive semantics Axiomatic semantics of UML class diagrams The object constraint language Axiomatic semantics of state machines A coalgebraic semantic framework for reasoning about interaction des

  7. Bim-Gis Integrated Geospatial Information Model Using Semantic Web and Rdf Graphs

    Science.gov (United States)

    Hor, A.-H.; Jadidi, A.; Sohn, G.

    2016-06-01

    In recent years, 3D virtual indoor/outdoor urban modelling becomes a key spatial information framework for many civil and engineering applications such as evacuation planning, emergency and facility management. For accomplishing such sophisticate decision tasks, there is a large demands for building multi-scale and multi-sourced 3D urban models. Currently, Building Information Model (BIM) and Geographical Information Systems (GIS) are broadly used as the modelling sources. However, data sharing and exchanging information between two modelling domains is still a huge challenge; while the syntactic or semantic approaches do not fully provide exchanging of rich semantic and geometric information of BIM into GIS or vice-versa. This paper proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graphs. The novelty of the proposed solution comes from the benefits of integrating BIM and GIS technologies into one unified model, so-called Integrated Geospatial Information Model (IGIM). The proposed approach consists of three main modules: BIM-RDF and GIS-RDF graphs construction, integrating of two RDF graphs, and query of information through IGIM-RDF graph using SPARQL. The IGIM generates queries from both the BIM and GIS RDF graphs resulting a semantically integrated model with entities representing both BIM classes and GIS feature objects with respect to the target-client application. The linkage between BIM-RDF and GIS-RDF is achieved through SPARQL endpoints and defined by a query using set of datasets and entity classes with complementary properties, relationships and geometries. To validate the proposed approach and its performance, a case study was also tested using IGIM system design.

  8. Enabling Energy-Awareness in the Semantic 3d City Model of Vienna

    Science.gov (United States)

    Agugiaro, G.

    2016-09-01

    This paper presents and discusses the first results regarding selection, analysis, preparation and eventual integration of a number of energy-related datasets, chosen in order to enrich a CityGML-based semantic 3D city model of Vienna. CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. The still-in-development Energy Application Domain Extension (ADE) is a CityGML extension conceived to specifically model, manage and store energy-related features and attributes for buildings. The work presented in this paper is embedded within the European Marie-Curie ITN project "CINERGY, Smart cities with sustainable energy systems", which aims, among the rest, at developing urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities. Given the scope and scale of the project, it is therefore vital to set up a common, unique and spatio-semantically coherent urban data model to be used as information hub for all applications being developed. This paper reports about the experiences done so far, it describes the test area in Vienna, Austria, and the available data sources, it shows and exemplifies the main data integration issues, the strategies developed to solve them in order to obtain the enriched 3D city model. The first results as well as some comments about their quality and limitations are presented, together with the discussion regarding the next steps and some planned improvements.

  9. Semantic techniques for enabling knowledge reuse in conceptual modelling

    NARCIS (Netherlands)

    Gracia, J.; Liem, J.; Lozano, E.; Corcho, O.; Trna, M.; Gómez-Pérez, A.; Bredeweg, B.

    2010-01-01

    Conceptual modelling tools allow users to construct formal representations of their conceptualisations. These models are typically developed in isolation, unrelated to other user models, thus losing the opportunity of incorporating knowledge from other existing models or ontologies that might enrich

  10. U-Sem: Semantic Enrichment, User Modeling and Mining of Usage Data on the Social Web

    CERN Document Server

    Abel, Fabian; Hauff, Claudia; Hollink, Laura; Houben, Geert-Jan

    2011-01-01

    With the growing popularity of Social Web applications, more and more user data is published on the Web everyday. Our research focuses on investigating ways of mining data from such platforms that can be used for modeling users and for semantically augmenting user profiles. This process can enhance adaptation and personalization in various adaptive Web-based systems. In this paper, we present the U-Sem people modeling service, a framework for the semantic enrichment and mining of people's profiles from usage data on the Social Web. We explain the architecture of our people modeling service and describe its application in an adult e-learning context as an example. Versions: Mar 21, 10:10, Mar 25, 09:37

  11. Understanding Nomophobia: Structural Equation Modeling and Semantic Network Analysis of Smartphone Separation Anxiety.

    Science.gov (United States)

    Han, Seunghee; Kim, Ki Joon; Kim, Jang Hyun

    2017-07-01

    This study explicates nomophobia by developing a research model that identifies several determinants of smartphone separation anxiety and by conducting semantic network analyses on smartphone users' verbal descriptions of the meaning of their smartphones. Structural equation modeling of the proposed model indicates that personal memories evoked by smartphones encourage users to extend their identity onto their devices. When users perceive smartphones as their extended selves, they are more likely to get attached to the devices, which, in turn, leads to nomophobia by heightening the phone proximity-seeking tendency. This finding is also supplemented by the results of the semantic network analyses revealing that the words related to memory, self, and proximity-seeking are indeed more frequently used in the high, compared with low, nomophobia group.

  12. Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex.

    Science.gov (United States)

    Tomasello, Rosario; Garagnani, Max; Wennekers, Thomas; Pulvermüller, Friedemann

    2017-04-01

    Neuroimaging and patient studies show that different areas of cortex respectively specialize for general and selective, or category-specific, semantic processing. Why are there both semantic hubs and category-specificity, and how come that they emerge in different cortical regions? Can the activation time-course of these areas be predicted and explained by brain-like network models? In this present work, we extend a neurocomputational model of human cortical function to simulate the time-course of cortical processes of understanding meaningful concrete words. The model implements frontal and temporal cortical areas for language, perception, and action along with their connectivity. It uses Hebbian learning to semantically ground words in aspects of their referential object- and action-related meaning. Compared with earlier proposals, the present model incorporates additional neuroanatomical links supported by connectivity studies and downscaled synaptic weights in order to control for functional between-area differences purely due to the number of in- or output links of an area. We show that learning of semantic relationships between words and the objects and actions these symbols are used to speak about, leads to the formation of distributed circuits, which all include neuronal material in connector hub areas bridging between sensory and motor cortical systems. Therefore, these connector hub areas acquire a role as semantic hubs. By differentially reaching into motor or visual areas, the cortical distributions of the emergent 'semantic circuits' reflect aspects of the represented symbols' meaning, thus explaining category-specificity. The improved connectivity structure of our model entails a degree of category-specificity even in the 'semantic hubs' of the model. The relative time-course of activation of these areas is typically fast and near-simultaneous, with semantic hubs central to the network structure activating before modality-preferential areas carrying

  13. a Semantic Model to Define Indoor Space in Context of Emergency Evacuation

    Science.gov (United States)

    Maheshwari, Nishith; Rajan, K. S.

    2016-06-01

    There have been various ways in which the indoor space of a building has been defined. In most of the cases the models have specific purpose on which they focus such as facility management, visualisation or navigation. The focus of our work is to define semantics of a model which can incorporate different aspects of the space within a building without losing any information provided by the data model. In this paper we have suggested a model which defines indoor space in terms of semantic and syntactic features. Each feature belongs to a particular class and based on the class, has a set of properties associated with it. The purpose is to capture properties like geometry, topology and semantic information like name, function and capacity of the space from a real world data model. The features which define the space are determined using the geometric information and the classes are assigned based on the relationships like connectivity, openings and function of the space. The ontology of the classes of the feature set defined will be discussed in the paper.

  14. Care episode retrieval: distributional semantic models for information retrieval in the clinical domain.

    Science.gov (United States)

    Moen, Hans; Ginter, Filip; Marsi, Erwin; Peltonen, Laura-Maria; Salakoski, Tapio; Salanterä, Sanna

    2015-01-01

    Patients' health related information is stored in electronic health records (EHRs) by health service providers. These records include sequential documentation of care episodes in the form of clinical notes. EHRs are used throughout the health care sector by professionals, administrators and patients, primarily for clinical purposes, but also for secondary purposes such as decision support and research. The vast amounts of information in EHR systems complicate information management and increase the risk of information overload. Therefore, clinicians and researchers need new tools to manage the information stored in the EHRs. A common use case is, given a--possibly unfinished--care episode, to retrieve the most similar care episodes among the records. This paper presents several methods for information retrieval, focusing on care episode retrieval, based on textual similarity, where similarity is measured through domain-specific modelling of the distributional semantics of words. Models include variants of random indexing and the semantic neural network model word2vec. Two novel methods are introduced that utilize the ICD-10 codes attached to care episodes to better induce domain-specificity in the semantic model. We report on experimental evaluation of care episode retrieval that circumvents the lack of human judgements regarding episode relevance. Results suggest that several of the methods proposed outperform a state-of-the art search engine (Lucene) on the retrieval task.

  15. A Semantic-Driven Knowledge Representation Model for the Materials Engineering Application

    Directory of Open Access Journals (Sweden)

    Xin Cheng

    2014-04-01

    Full Text Available A Materials Engineering Application (MEA has been presented as a solution for the problems of materials design, solutions simulation, production and processing, and service evaluation. Large amounts of data are generated in the MEA distributed and heterogeneous environment. As the demand for intelligent engineering information applications increases, the challenge is to effectively organize these complex data and provide timely and accurate on-demand services. In this paper, based on the supporting environment of Open Cloud Services Architecture (OCSA and Virtual DataSpace (VDS, a new semantic-driven knowledge representation model for MEA information is proposed. Faced with the MEA constantly changing user requirements, this model elaborates the semantic representation of data, services and their relationships to support the construction of domain knowledge ontology. Then, based on the ontology modeling in VDS, the semantic representations of association mapping, rule-based reasoning, and evolution tracking are analyzed to support MEA knowledge acquisition. Finally, an application example of knowledge representation in the field of materials engineering is given to illustrate the proposed model, and some experimental comparisons are discussed for evaluating and verifying the effectiveness of this method.

  16. A semantic model for multimodal data mining in healthcare information systems.

    Science.gov (United States)

    Iakovidis, Dimitris; Smailis, Christos

    2012-01-01

    Electronic health records (EHRs) are representative examples of multimodal/multisource data collections; including measurements, images and free texts. The diversity of such information sources and the increasing amounts of medical data produced by healthcare institutes annually, pose significant challenges in data mining. In this paper we present a novel semantic model that describes knowledge extracted from the lowest-level of a data mining process, where information is represented by multiple features i.e. measurements or numerical descriptors extracted from measurements, images, texts or other medical data, forming multidimensional feature spaces. Knowledge collected by manual annotation or extracted by unsupervised data mining from one or more feature spaces is modeled through generalized qualitative spatial semantics. This model enables a unified representation of knowledge across multimodal data repositories. It contributes to bridging the semantic gap, by enabling direct links between low-level features and higher-level concepts e.g. describing body parts, anatomies and pathological findings. The proposed model has been developed in web ontology language based on description logics (OWL-DL) and can be applied to a variety of data mining tasks in medical informatics. It utility is demonstrated for automatic annotation of medical data.

  17. Brain. Conscious and Unconscious Mechanisms of Cognition, Emotions, and Language

    Directory of Open Access Journals (Sweden)

    Roman Ilin

    2012-12-01

    Full Text Available Conscious and unconscious brain mechanisms, including cognition, emotions and language are considered in this review. The fundamental mechanisms of cognition include interactions between bottom-up and top-down signals. The modeling of these interactions since the 1960s is briefly reviewed, analyzing the ubiquitous difficulty: incomputable combinatorial complexity (CC. Fundamental reasons for CC are related to the Gödel’s difficulties of logic, a most fundamental mathematical result of the 20th century. Many scientists still “believed” in logic because, as the review discusses, logic is related to consciousness; non-logical processes in the brain are unconscious. CC difficulty is overcome in the brain by processes “from vague-unconscious to crisp-conscious” (representations, plans, models, concepts. These processes are modeled by dynamic logic, evolving from vague and unconscious representations toward crisp and conscious thoughts. We discuss experimental proofs and relate dynamic logic to simulators of the perceptual symbol system. “From vague to crisp” explains interactions between cognition and language. Language is mostly conscious, whereas cognition is only rarely so; this clarifies much about the mind that might seem mysterious. All of the above involve emotions of a special kind, aesthetic emotions related to knowledge and to cognitive dissonances. Cognition-language-emotional mechanisms operate throughout the hierarchy of the mind and create all higher mental abilities. The review discusses cognitive functions of the beautiful, sublime, music.

  18. COGNITIVE GRAPHICS AND SEMANTIC MODELING FOR GEOSPATIAL SOLUTIONS IN ENERGY SECTOR

    Directory of Open Access Journals (Sweden)

    L. V. Massel

    2015-01-01

    Full Text Available The author team proposes the integration of mathematical and semantic modeling and visual analytics techniques, including the use of geographic information technologies, to solve geospatial problems. We con-siderthese types ofsemantic modelingasontological, cognitive, probability and event simulation. It is shown that-graphicsemantic modelshave properties of cognitive graphics. TraditionalGIS andgeo-toolsprovidingopportunities of 3D-geovizualization are compared.The author tool of 3D-geovizualization named Geocomponentandits application to solving of geospatialenergyproblems are described. We consider the integration of semantic modeling and 3D-geovizualization providing situational awareness of the researcher, and, as a result, the expansion of visual analytics opportunities and their using to solve geospatial problems of management in the energy sector.

  19. Modular, Semantics-Based Composition of Biosimulation Models

    Science.gov (United States)

    Neal, Maxwell Lewis

    2010-01-01

    Biosimulation models are valuable, versatile tools used for hypothesis generation and testing, codification of biological theory, education, and patient-specific modeling. Driven by recent advances in computational power and the accumulation of systems-level experimental data, modelers today are creating models with an unprecedented level of…

  20. Model-checking ATL under Imperfect Information and Perfect Recall Semantics is Undecidable

    CERN Document Server

    Dima, Catalin

    2011-01-01

    We propose a formal proof of the undecidability of the model checking problem for alternating- time temporal logic under imperfect information and perfect recall semantics. This problem was announced to be undecidable according to a personal communication on multi-player games with imperfect information, but no formal proof was ever published. Our proof is based on a direct reduction from the non-halting problem for Turing machines.

  1. Mining association language patterns using a distributional semantic model for negative life event classification.

    Science.gov (United States)

    Yu, Liang-Chih; Chan, Chien-Lung; Lin, Chao-Cheng; Lin, I-Chun

    2011-08-01

    Negative life events, such as the death of a family member, an argument with a spouse or the loss of a job, play an important role in triggering depressive episodes. Therefore, it is worthwhile to develop psychiatric services that can automatically identify such events. This study describes the use of association language patterns, i.e., meaningful combinations of words (e.g., ), as features to classify sentences with negative life events into predefined categories (e.g., Family, Love, Work). This study proposes a framework that combines a supervised data mining algorithm and an unsupervised distributional semantic model to discover association language patterns. The data mining algorithm, called association rule mining, was used to generate a set of seed patterns by incrementally associating frequently co-occurring words from a small corpus of sentences labeled with negative life events. The distributional semantic model was then used to discover more patterns similar to the seed patterns from a large, unlabeled web corpus. The experimental results showed that association language patterns were significant features for negative life event classification. Additionally, the unsupervised distributional semantic model was not only able to improve the level of performance but also to reduce the reliance of the classification process on the availability of a large, labeled corpus. Copyright © 2011 Elsevier Inc. All rights reserved.

  2. Unconscious emotional effects of packaging design elements

    DEFF Research Database (Denmark)

    Liao, Lewis; Corsi, Armando; Lockshin, Larry

    on a convenience sample of 120 participants. The results suggest that image is the only element able to generate a significant effect on consumers’ unconscious emotional response. In addition, the results also suggest the interaction between image and colour has a significant effect on consumers’ unconscious...

  3. Modeling and formal representation of geospatial knowledge for the Geospatial Semantic Web

    Science.gov (United States)

    Huang, Hong; Gong, Jianya

    2008-12-01

    GML can only achieve geospatial interoperation at syntactic level. However, it is necessary to resolve difference of spatial cognition in the first place in most occasions, so ontology was introduced to describe geospatial information and services. But it is obviously difficult and improper to let users to find, match and compose services, especially in some occasions there are complicated business logics. Currently, with the gradual introduction of Semantic Web technology (e.g., OWL, SWRL), the focus of the interoperation of geospatial information has shifted from syntactic level to Semantic and even automatic, intelligent level. In this way, Geospatial Semantic Web (GSM) can be put forward as an augmentation to the Semantic Web that additionally includes geospatial abstractions as well as related reasoning, representation and query mechanisms. To advance the implementation of GSM, we first attempt to construct the mechanism of modeling and formal representation of geospatial knowledge, which are also two mostly foundational phases in knowledge engineering (KE). Our attitude in this paper is quite pragmatical: we argue that geospatial context is a formal model of the discriminate environment characters of geospatial knowledge, and the derivation, understanding and using of geospatial knowledge are located in geospatial context. Therefore, first, we put forward a primitive hierarchy of geospatial knowledge referencing first order logic, formal ontologies, rules and GML. Second, a metamodel of geospatial context is proposed and we use the modeling methods and representation languages of formal ontologies to process geospatial context. Thirdly, we extend Web Process Service (WPS) to be compatible with local DLL for geoprocessing and possess inference capability based on OWL.

  4. Professional Culture and Climate: Addressing Unconscious Bias

    Science.gov (United States)

    Knezek, Patricia

    2016-10-01

    Unconscious bias reflects expectations or stereotypes that influence our judgments of others (regardless of our own group). Everyone has unconscious biases. The end result of unconscious bias can be an accumulation of advantage or disadvantage that impacts the long term career success of individuals, depending on which biases they are subject to. In order to foster a professional culture and climate, being aware of these unconscious biases and mitigating against them is a first step. This is particularly important when judgements are needed, such as in cases for recruitment, choice of speakers for conferences, and even reviewing papers submitted for publication. This presentation will cover how unconscious bias manifests itself, what evidence exists to demonstrate it exists, and ways it can be addressed.

  5. Comparing implicit and explicit semantic access of direct and indirect word pairs in schizophrenia to evaluate models of semantic memory.

    Science.gov (United States)

    Neill, Erica; Rossell, Susan Lee

    2013-02-28

    Semantic memory deficits in schizophrenia (SZ) are profound, yet there is no research comparing implicit and explicit semantic processing in the same participant sample. In the current study, both implicit and explicit priming are investigated using direct (LION-TIGER) and indirect (LION-STRIPES; where tiger is not displayed) stimuli comparing SZ to healthy controls. Based on a substantive review (Rossell and Stefanovic, 2007) and meta-analysis (Pomarol-Clotet et al., 2008), it was predicted that SZ would be associated with increased indirect priming implicitly. Further, it was predicted that SZ would be associated with abnormal indirect priming explicitly, replicating earlier work (Assaf et al., 2006). No specific hypotheses were made for implicit direct priming due to the heterogeneity of the literature. It was hypothesised that explicit direct priming would be intact based on the structured nature of this task. The pattern of results suggests (1) intact reaction time (RT) and error performance implicitly in the face of abnormal direct priming and (2) impaired RT and error performance explicitly. This pattern confirms general findings regarding implicit/explicit memory impairments in SZ whilst highlighting the unique pattern of performance specific to semantic priming. Finally, priming performance is discussed in relation to thought disorder and length of illness.

  6. Richpig: a semantic model to assess enrichment materials for pigs

    NARCIS (Netherlands)

    Bracke, M.B.M.

    2008-01-01

    A computer-based model was constructed to assess enrichment materials (EMats) for intensively-farmed weaned, growing and fattening pigs on a scale from 0 to 10. This model, called RICHPIG, was constructed in order to support the further implementation of EC Directive 2001/93/EC, which states that "p

  7. A Semantic Scraping Model for Web Resources - Applying Linked Data to Web Page Screen Scraping

    OpenAIRE

    Fernández Villamor, José Ignacio; Blasco Garcia, Jacobo; Iglesias Fernandez, Carlos Angel; Garijo Ayestaran, Mercedes

    2011-01-01

    In spite of the increasing presence of Semantic Web Facilities, only a limited amount of the available resources in the Internet provide a semantic access. Recent initiatives such as the emerging Linked Data Web are providing semantic access to available data by porting existing resources to the semantic web using different technologies, such as database-semantic mapping and scraping. Nevertheless, existing scraping solutions are based on ad-hoc solutions complemented with graphical interface...

  8. A Roadmap for Generating Semantically Enriched Building Models According to CityGML Model via Two Different Methodologies

    Science.gov (United States)

    Floros, G.; Solou, D.; Pispidikis, I.; Dimopoulou, E.

    2016-10-01

    The methodologies of 3D modeling techniques have increasingly increased due to the rapid advances of new technologies. Nowadays, the focus of 3D modeling software is focused, not only to the finest visualization of the models, but also in their semantic features during the modeling procedure. As a result, the models thus generated are both realistic and semantically enriched. Additionally, various extensions of modeling software allow for the immediate conversion of the model's format, via semi-automatic procedures with respect to the user's scope. The aim of this paper is to investigate the generation of a semantically enriched Citygml building model via two different methodologies. The first methodology includes the modeling in Trimble SketchUp and the transformation in FME Desktop Manager, while the second methodology includes the model's generation in CityEngine and its transformation in the CityGML format via the 3DCitiesProject extension for ArcGIS. Finally, the two aforesaid methodologies are being compared and specific characteristics are evaluated, in order to infer the methodology that is best applied depending on the different projects' purposes.

  9. A semantic-web approach for modeling computing infrastructures

    NARCIS (Netherlands)

    M. Ghijsen; J. van der Ham; P. Grosso; C. Dumitru; H. Zhu; Z. Zhao; C. de Laat

    2013-01-01

    This paper describes our approach to modeling computing infrastructures. Our main contribution is the Infrastructure and Network Description Language (INDL) ontology. The aim of INDL is to provide technology independent descriptions of computing infrastructures, including the physical resources as w

  10. Bridging the Semantic Gap Between Heterogeneous Modeling Formalisms and FMI

    Science.gov (United States)

    2014-04-25

    FMUs Synchronous Data Flow (SDF) [11] is a dataflow model where a set of actors execute asynchronously and communicate via FIFO queues of (a-priori...concurrency with FIFO queue based communication that SDF is based on, and the somewhat synchronous model that FMI uses, based on persistent signals as...an output FIFO queue, denoted Q o A. FB has a state variable holding an input FIFO queue, denoted QiB , and another state variable holding an output

  11. A Formal Semantic Model for the Access Specification Language RASP

    Directory of Open Access Journals (Sweden)

    Mark Evered

    2015-05-01

    Full Text Available The access specification language RASP extends traditional role-based access control (RBAC concepts to provide greater expressive power often required for fine-grained access control in sensitive information systems. Existing formal models of RBAC are not sufficient to describe these extensions. In this paper, we define a new model for RBAC which formalizes the RASP concepts of controlled role appointment and transitions, object attributes analogous to subject roles and a transitive role/attribute derivation relationship.

  12. Contexts for concepts: Information modeling for semantic interoperability

    NARCIS (Netherlands)

    Oude Luttighuis, P.H.W.M.; Stap, R.E.; Quartel, D.

    2011-01-01

    Conceptual information modeling is a well-established practice, aimed at preparing the implementation of information systems, the specification of electronic message formats, and the design of information processes. Today's ever more connected world however poses new challenges for conceptual inform

  13. Improving automation standards via semantic modelling: Application to ISA88.

    Science.gov (United States)

    Dombayci, Canan; Farreres, Javier; Rodríguez, Horacio; Espuña, Antonio; Graells, Moisès

    2017-03-01

    Standardization is essential for automation. Extensibility, scalability, and reusability are important features for automation software that rely in the efficient modelling of the addressed systems. The work presented here is from the ongoing development of a methodology for semi-automatic ontology construction methodology from technical documents. The main aim of this work is to systematically check the consistency of technical documents and support the improvement of technical document consistency. The formalization of conceptual models and the subsequent writing of technical standards are simultaneously analyzed, and guidelines proposed for application to future technical standards. Three paradigms are discussed for the development of domain ontologies from technical documents, starting from the current state of the art, continuing with the intermediate method presented and used in this paper, and ending with the suggested paradigm for the future. The ISA88 Standard is taken as a representative case study. Linguistic techniques from the semi-automatic ontology construction methodology is applied to the ISA88 Standard and different modelling and standardization aspects that are worth sharing with the automation community is addressed. This study discusses different paradigms for developing and sharing conceptual models for the subsequent development of automation software, along with presenting the systematic consistency checking method.

  14. Model-driven semantic integration of service-oriented applications

    NARCIS (Netherlands)

    Pokraev, Stanislav Vassilev

    2009-01-01

    The integration of enterprise applications is an extremely complex problem since the most applications have not been designed to work with other applications. That is, they have different information models, do not share common state, and do not consult each other when updating their states. Unfortu

  15. Foundations of semantic web technologies

    CERN Document Server

    Hitzler, Pascal; Rudolph, Sebastian

    2009-01-01

    The Quest for Semantics Building Models Calculating with Knowledge Exchanging Information Semanic Web Technologies RESOURCE DESCRIPTION LANGUAGE (RDF)Simple Ontologies in RDF and RDF SchemaIntroduction to RDF Syntax for RDF Advanced Features Simple Ontologies in RDF Schema Encoding of Special Data Structures An ExampleRDF Formal Semantics Why Semantics? Model-Theoretic Semantics for RDF(S) Syntactic Reasoning with Deduction Rules The Semantic Limits of RDF(S)WEB ONTOLOGY LANGUAGE (OWL) Ontologies in OWL OWL Syntax and Intuitive Semantics OWL Species The Forthcoming OWL 2 StandardOWL Formal Sem

  16. Computational exploration of metaphor comprehension processes using a semantic space model.

    Science.gov (United States)

    Utsumi, Akira

    2011-03-01

    Recent metaphor research has revealed that metaphor comprehension involves both categorization and comparison processes. This finding has triggered the following central question: Which property determines the choice between these two processes for metaphor comprehension? Three competing views have been proposed to answer this question: the conventionality view (Bowdle & Gentner, 2005), aptness view (Glucksberg & Haught, 2006b), and interpretive diversity view (Utsumi, 2007); these views, respectively, argue that vehicle conventionality, metaphor aptness, and interpretive diversity determine the choice between the categorization and comparison processes. This article attempts to answer the question regarding which views are plausible by using cognitive modeling and computer simulation based on a semantic space model. In the simulation experiment, categorization and comparison processes are modeled in a semantic space constructed by latent semantic analysis. These two models receive word vectors for the constituent words of a metaphor and compute a vector for the metaphorical meaning. The resulting vectors can be evaluated according to the degree to which they mimic the human interpretation of the same metaphor; the maximum likelihood estimation determines which of the two models better explains the human interpretation. The result of the model selection is then predicted by three metaphor properties (i.e., vehicle conventionality, aptness, and interpretive diversity) to test the three views. The simulation experiment for Japanese metaphors demonstrates that both interpretive diversity and vehicle conventionality affect the choice between the two processes. On the other hand, it is found that metaphor aptness does not affect this choice. This result can be treated as computational evidence supporting the interpretive diversity and conventionality views.

  17. ENABLING “ENERGY-AWARENESS” IN THE SEMANTIC 3D CITY MODEL OF VIENNA

    Directory of Open Access Journals (Sweden)

    G. Agugiaro

    2016-09-01

    Full Text Available This paper presents and discusses the first results regarding selection, analysis, preparation and eventual integration of a number of energy-related datasets, chosen in order to enrich a CityGML-based semantic 3D city model of Vienna. CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. The still-in-development Energy Application Domain Extension (ADE is a CityGML extension conceived to specifically model, manage and store energy-related features and attributes for buildings. The work presented in this paper is embedded within the European Marie-Curie ITN project “CINERGY, Smart cities with sustainable energy systems”, which aims, among the rest, at developing urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities. Given the scope and scale of the project, it is therefore vital to set up a common, unique and spatio-semantically coherent urban data model to be used as information hub for all applications being developed. This paper reports about the experiences done so far, it describes the test area in Vienna, Austria, and the available data sources, it shows and exemplifies the main data integration issues, the strategies developed to solve them in order to obtain the enriched 3D city model. The first results as well as some comments about their quality and limitations are presented, together with the discussion regarding the next steps and some planned improvements.

  18. Reflective visualization and verbalization of unconscious preference

    CERN Document Server

    Maeno, Yoshiharu

    2008-01-01

    Unconscious preference is the preference which can be observed as an action resulted from one's decision making, but whose origin and background one can not describe with verbal explanation. It is an important problem to develop a method to help one become conscious of the one's unconscious preference, and convey it to the others in the form of verbal explanation. This paper develops a method which combines the concepts of reflection, visualization, and verbalization, applied to group discussion, with a tool which implements an algorithm to process information on the subjects' stated preference. The method is applied to the experiments where the unconscious preference on the art works is investigated.

  19. Unconscious emotional effects of packaging design elements

    DEFF Research Database (Denmark)

    Liao, Lewis; Corsi, Armando; Lockshin, Larry;

    This research investigates consumers’ unconscious emotional responses to packaging elements such as image, colour and font. The intensity and valence of the emotional response, in reaction to these packaging elements, is established by the use of skin conductance tests and facial electromyography...... on a convenience sample of 120 participants. The results suggest that image is the only element able to generate a significant effect on consumers’ unconscious emotional response. In addition, the results also suggest the interaction between image and colour has a significant effect on consumers’ unconscious...

  20. An application-semantics-based relaxed transaction model for internetware

    Institute of Scientific and Technical Information of China (English)

    HUANG Tao; DING Xiaoning; WEI Jun

    2006-01-01

    An internetware application is composed by existing individual services, while transaction processing is a key mechanism to make the composition reliable. The existing research of transactional composite service (TCS) depends on the analysis to composition structure and exception handling mechanism in order to guarantee the relaxed atomicity.However, this approach cannot handle some application-specific requirements and causes lots of unnecessary failure recoveries or even aborts. In this paper, we propose a relaxed transaction model, including system mode, relaxed atomicity criterion, static checking algorithm and dynamic enforcement algorithm. Users are able to define different relaxed atomicity constraint for different TCS according to application-specific requirements, including acceptable configurations and the preference order. The checking algorithm determines whether the constraint can be guaranteed to be satisfied. The enforcement algorithm monitors the execution and performs transaction management work according to the constraint. Compared to the existing work, our approach can handle complex application requirements, avoid unnecessary failure recoveries and perform the transaction management work automatically.

  1. Semantic repository and ontology mapping

    NARCIS (Netherlands)

    Gracia, J.; Trna, M.; Lozano, E.; Nguyen, T.T.; Gómez-Pérez, A.; Montaña, C.; Liem, J.

    2010-01-01

    This document discusses the core Semantic Technologies in DynaLearn: i) The semantic repository, which supports the online storage and access of qualitative reasoning models, ii) the grounding process, which establishes semantic equivalences between the concepts in the models and the concepts in a

  2. Confidence in word detection predicts word identification: implications for an unconscious perception paradigm.

    Science.gov (United States)

    Haase, S J; Fisk, G

    2001-01-01

    The present experiments extend the scope of the independent observation model based on signal detection theory (Macmillan & Creelman, 1991) to complex (word) stimulus sets. In the first experiment, the model predicts the relationship between uncertain detection and subsequent correct identification, thereby providing an alternative interpretation to a phenomenon often described as unconscious perception. Our second experiment used an exclusion task (Jacoby, Toth, & Yonelinas, 1993), which, according to theories of unconscious perception, should show qualitative differences in performance based on stimulus detection accuracy and provide a relative measure of conscious versus unconscious influences (Merikle, Joordens, & Stoltz, 1995). Exclusion performance was also explained by the model, suggesting that undetected words did not unconsciously influence identification responses.

  3. Design and Applications of a GeoSemantic Framework for Integration of Data and Model Resources in Hydrologic Systems

    Science.gov (United States)

    Elag, M.; Kumar, P.

    2016-12-01

    Hydrologists today have to integrate resources such as data and models, which originate and reside in multiple autonomous and heterogeneous repositories over the Web. Several resource management systems have emerged within geoscience communities for sharing long-tail data, which are collected by individual or small research groups, and long-tail models, which are developed by scientists or small modeling communities. While these systems have increased the availability of resources within geoscience domains, deficiencies remain due to the heterogeneity in the methods, which are used to describe, encode, and publish information about resources over the Web. This heterogeneity limits our ability to access the right information in the right context so that it can be efficiently retrieved and understood without the Hydrologist's mediation. A primary challenge of the Web today is the lack of the semantic interoperability among the massive number of resources, which already exist and are continually being generated at rapid rates. To address this challenge, we have developed a decentralized GeoSemantic (GS) framework, which provides three sets of micro-web services to support (i) semantic annotation of resources, (ii) semantic alignment between the metadata of two resources, and (iii) semantic mediation among Standard Names. Here we present the design of the framework and demonstrate its application for semantic integration between data and models used in the IML-CZO. First we show how the IML-CZO data are annotated using the Semantic Annotation Services. Then we illustrate how the Resource Alignment Services and Knowledge Integration Services are used to create a semantic workflow among TopoFlow model, which is a spatially-distributed hydrologic model and the annotated data. Results of this work are (i) a demonstration of how the GS framework advances the integration of heterogeneous data and models of water-related disciplines by seamless handling of their semantic

  4. Neurophysiological Correlates of Sevoflurane-induced Unconsciousness

    National Research Council Canada - National Science Library

    Blain-Moraes, Stefanie; Tarnal, Vijay; Vanini, Giancarlo; Alexander, Amir; Rosen, Derek; Shortal, Brenna; Janke, Ellen; Mashour, George A

    2015-01-01

    BACKGROUND:Recent studies of anesthetic-induced unconsciousness in humans have focused predominantly on the intravenous drug propofol and have identified anterior dominance of alpha rhythms and frontal phase...

  5. Elucidating Unconscious Processing With Instrumental Hypnosis

    Directory of Open Access Journals (Sweden)

    Mathieu eLandry

    2014-07-01

    Full Text Available Most researchers leverage bottom-up suppression to unlock the underlying mechanisms of unconscious processing. However, a top-down approach – for example via hypnotic suggestion – paves the road to experimental innovation and complementary data that afford new scientific insights concerning attention and the unconscious. Drawing from a reliable taxonomy that differentiates subliminal and preconscious processing, we outline how an experimental trajectory that champions top-down suppression techniques, such as those practiced in hypnosis, is uniquely poised to further contextualize and refine our scientific understanding of unconscious processing. Examining subliminal and preconscious methods, we demonstrate how instrumental hypnosis provides a reliable adjunct that supplements contemporary approaches. Specifically, we provide an integrative synthesis of the advantages and shortcomings that accompany a top-down approach to probe the unconscious mind. Our account provides a larger framework for complementing the results from core studies involving prevailing subliminal and preconscious techniques.

  6. Conceptual Model Formalization in a Semantic Interoperability Service Framework: Transforming Relational Database Schemas to OWL.

    Science.gov (United States)

    Bravo, Carlos; Suarez, Carlos; González, Carolina; López, Diego; Blobel, Bernd

    2014-01-01

    Healthcare information is distributed through multiple heterogeneous and autonomous systems. Access to, and sharing of, distributed information sources are a challenging task. To contribute to meeting this challenge, this paper presents a formal, complete and semi-automatic transformation service from Relational Databases to Web Ontology Language. The proposed service makes use of an algorithm that allows to transform several data models of different domains by deploying mainly inheritance rules. The paper emphasizes the relevance of integrating the proposed approach into an ontology-based interoperability service to achieve semantic interoperability.

  7. Semantic modeling for theory clarification: The realist vs liberal international relations perspective

    Energy Technology Data Exchange (ETDEWEB)

    Bray, O.H. [Sandia National Labs., Albuquerque, NM (United States)]|[Univ. of New Mexico, Albuquerque, NM (United States). Political Science Dept.

    1994-04-01

    This paper describes a natural language based, semantic information modeling methodology and explores its use and value in clarifying and comparing political science theories and frameworks. As an example, the paper uses this methodology to clarify and compare some of the basic concepts and relationships in the realist (e.g. Waltz) and the liberal (e.g. Rosenau) paradigms for international relations. The methodology can provide three types of benefits: (1) it can clarify and make explicit exactly what is meant by a concept; (2) it can often identify unanticipated implications and consequence of concepts and relationships; and (3) it can help in identifying and operationalizing testable hypotheses.

  8. Integrated Data Capturing Requirements for 3d Semantic Modelling of Cultural Heritage: the Inception Protocol

    Science.gov (United States)

    Di Giulio, R.; Maietti, F.; Piaia, E.; Medici, M.; Ferrari, F.; Turillazzi, B.

    2017-02-01

    The generation of high quality 3D models can be still very time-consuming and expensive, and the outcome of digital reconstructions is frequently provided in formats that are not interoperable, and therefore cannot be easily accessed. This challenge is even more crucial for complex architectures and large heritage sites, which involve a large amount of data to be acquired, managed and enriched by metadata. In this framework, the ongoing EU funded project INCEPTION - Inclusive Cultural Heritage in Europe through 3D semantic modelling proposes a workflow aimed at the achievements of efficient 3D digitization methods, post-processing tools for an enriched semantic modelling, web-based solutions and applications to ensure a wide access to experts and non-experts. In order to face these challenges and to start solving the issue of the large amount of captured data and time-consuming processes in the production of 3D digital models, an Optimized Data Acquisition Protocol (DAP) has been set up. The purpose is to guide the processes of digitization of cultural heritage, respecting needs, requirements and specificities of cultural assets.

  9. Design and Development of a Semantic Information Modelling Framework for a Service Oriented Optical Internet

    Directory of Open Access Journals (Sweden)

    Chinwe E Abosi

    2010-11-01

    Full Text Available The evolution of IT and network technologies has generated far-reaching opportunities for complex service innovation in future Internet. This has resulted in an increase in the heterogeneity and complexity in service provisioning. Such complex services demand efficient coordination of distributed IT resources (storage and computing interconnected by high capacity optical networks. This paper proposes a service plane architecture as an architectural enhancement promising to handle these complexities. It implements a unified service provisioning concept that can adapt to the heterogeneous, dynamic and complex nature of emerging service requirements as well as optical network and IT resource capabilities. The main elements of the proposed architecture consist of information discovery and service discovery that require a semantic modelling framework to address heterogeneity and automation. This paper focuses on a novel semantic modelling framework which is central to the proposed service plance architecture. It is used for information description in a service-oriented environment based on Web Services Modelling Ontology (WSMO. The framework describes the information model and entities needed to communicate requirements for autonomous, homogeneous service discovery, selection and composition.

  10. Do unconscious processes affect educational institutions?

    Science.gov (United States)

    Hinshelwood, R D

    2009-10-01

    In this article I discuss the way that aspects of school and teaching have unconscious roots. Where anxiety about the process, for teachers and children, is high then there is the risk that unconscious defensive processes may occur resulting in institutionalized phenomena. These take the form of cultural attitudes and common practices which may not necessarily enhance the work and in some cases may actively interfere.

  11. Semantic Boost on Episodic Associations: An Empirically-Based Computational Model

    Science.gov (United States)

    Silberman, Yaron; Bentin, Shlomo; Miikkulainen, Risto

    2007-01-01

    Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused on how semantic and episodic factors interact in incidental formation of word associations. First, we found that human participants associate semantically related words…

  12. Unconscious fantasy (or phantasy) as clinical concept.

    Science.gov (United States)

    Pablo Jimenez, Juan

    2016-04-05

    A clinical phenomenology of the concept 'unconscious fantasy' attempts to describe it from a 'bottom-up' perspective, that is, from the immediate experience of the analyst working in session. Articles of psychoanalytic authors from different persuasions are reviewed, which taken as a whole would shed some light on how the concept of unconscious fantasy takes shape in the analyst's mind during the session with the patient. A clinical phenomenology in three steps is described. Each step is illustrated by clinical material. Current controversies around the concept of unconscious fantasy (or phantasy) are still trapped in the discussion about if and how they are really unconscious. The strategy to describe from a 'bottom-up' perspective the process of how the analyst's mind embraces the idea that an emerging phenomenon in the relationship with the patient can be defined as 'unconscious fantasy', allows us to elude the question as to whether or not we believe that unconscious fantasies exist at all, since we are neither required to assert or deny such a prior existence in order to describe the process of elaboration which, in the end, does formulate a fantasy as fantasy.

  13. Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

    Science.gov (United States)

    Urbain, Jay

    2015-12-01

    We present the design, and analyze the performance of a multi-stage natural language processing system employing named entity recognition, Bayesian statistics, and rule logic to identify and characterize heart disease risk factor events in diabetic patients over time. The system was originally developed for the 2014 i2b2 Challenges in Natural Language in Clinical Data. The system's strengths included a high level of accuracy for identifying named entities associated with heart disease risk factor events. The system's primary weakness was due to inaccuracies when characterizing the attributes of some events. For example, determining the relative time of an event with respect to the record date, whether an event is attributable to the patient's history or the patient's family history, and differentiating between current and prior smoking status. We believe these inaccuracies were due in large part to the lack of an effective approach for integrating context into our event detection model. To address these inaccuracies, we explore the addition of a distributional semantic model for characterizing contextual evidence of heart disease risk factor events. Using this semantic model, we raise our initial 2014 i2b2 Challenges in Natural Language of Clinical data F1 score of 0.838 to 0.890 and increased precision by 10.3% without use of any lexicons that might bias our results.

  14. The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

    Directory of Open Access Journals (Sweden)

    Wimalaratne Sarala

    2011-08-01

    Full Text Available Abstract Background The practice and research of medicine generates considerable quantities of data and model resources (DMRs. Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities are facing considerable operational and technical obstacles in sharing data and models. Findings We outline the efforts of the PPME communities to achieve automated semantic interoperability for clinical resource documentation in collaboration with the RICORDO project. Current community practices in resource documentation and knowledge management are overviewed. Furthermore, requirements and improvements sought by the PPME communities to current documentation practices are discussed. The RICORDO plan and effort in creating a representational framework and associated open software toolkit for the automated management of PPME metadata resources is also described. Conclusions RICORDO is providing the PPME community with tools to effect, share and reason over clinical resource annotations. This work is contributing to the semantic interoperability of DMRs through ontology-based annotation by (i supporting more effective navigation and re-use of clinical DMRs, as well as (ii sustaining interoperability operations based on the criterion of biological similarity. Operations facilitated by RICORDO will range from automated dataset matching to model merging and managing complex simulation workflows. In effect, RICORDO is contributing to community standards for resource sharing and interoperability.

  15. Neuroelectric correlates of a neuropsychological model of word decoding and semantic processing in reading disabled children.

    Science.gov (United States)

    Ostrosky-Solís, F; Canseco, E; Meneses, S; Prospero, O; Zarabozo, D; Ardila, A

    1987-07-01

    The purpose of this study was to distinguish the characteristics and components of event related potentials (ERPs) correlated with word decoding and semantic processing in a subgroup of children with specific reading disabilities related to visual processing deficiencies. The results were compared with those obtained from a group of normal readers previously studied (Ostrosky et al. in press). Visual ERPs were recorded to four stimuli: three physically different but with the same semantic content: a frequently used noun written in capitals (COCHE), the same noun in handwriting, the pictorial representation of the noun (drawing), and a neutral stimulus consisting of a checkerboard. Four derivations were used: occipital (O1-O2) and parietal (P3-P4) with reference to linked mastoids. Data were analyzed using multivariate procedures. A Principal Component Analysis with Varimax rotation of the solution was applied. In the normal readers, we found some components in the occipital derivations which identified the words presented in different styles of handwriting and others which seemed to identify these words with the pictorial representation (and not with the neutral stimuli). The first "verbal" components were situated around the 156-256 ms latency range and the second "semantic" components were observed at over 380 ms. In the disabled readers, there was no "verbal" or "semantic" recognition grouping of these physically different stimuli. As opposed to the normal readers, interhemispheric responses were symmetrical. At the left parietal leads in the normal readers, the morphology of the verbal stimuli (capitals and handwriting) were very similar throughout the sweep and both were very different from the nonverbal stimuli. At 376 ms the four stimuli elicited a prominent negative peak in which the verbal stimuli elicited significantly higher amplitude than the nonverbal stimuli. In the disabled group, the morphologies of the four stimuli were very similar and no

  16. SemInf: a burst-based semantic influence model for biomedical topic influence.

    Science.gov (United States)

    He, Dan; Parker, Douglas S

    2014-03-01

    In this study, we model how biomedical topics influence one another, given they are organized in a topic hierarchy, medical subject headings, in which the edges capture a parent-child/subsumption relationship among topics. This information enables studying influence of topics from a semantic perspective, which might be very important in analyzing topic evolution and is missing from the current literature. We first define a burst-based action for topics, which models upward momentum in popularity (or “elevated occurrences” of the topics), and use it to define two types of influence: accumulation influence and propagation influence. We then propose a model of influence between topics, and develop an efficient algorithm (TIPS) to identify influential topics. Experiments show that our model is successful at identifying influential topics and the algorithm is very efficient.

  17. Structured representation of drug indications: lexical and semantic analysis and object-oriented modeling.

    Science.gov (United States)

    Duclos, C; Venot, A

    2000-03-01

    No standardized representation of drug indications is currently available that could be used in drug knowledge bases. We describe an object-oriented representation of indications that should make it possible to develop new tools for selecting drugs and checking prescriptions in computerized drug prescription systems. The model was developed using the results of a lexical and semantic analysis of drug indications, collected into a single file and processed using natural language processing software. It distinguishes both the diseases for which the drug may be given and the efficiency of the drug for a given indication. Two aspects of the model were evaluated: the differences if two independent evaluators filled the attributes independently and the loss of information induced by the use of the model. A system based on this model, making it possible for the physician to select all the drugs satisfying various criteria, is also presented.

  18. Synthesis of semantic modelling and risk analysis methodology applied to animal welfare.

    Science.gov (United States)

    Bracke, M B M; Edwards, S A; Metz, J H M; Noordhuizen, J P T M; Algers, B

    2008-07-01

    Decision-making on animal welfare issues requires a synthesis of information. For the assessment of farm animal welfare based on scientific information collected in a database, a methodology called 'semantic modelling' has been developed. To date, however, this methodology has not been generally applied. Recently, a qualitative Risk Assessment approach has been published by the European Food Safety Authority (EFSA) for the first time, concerning the welfare of intensively reared calves. This paper reports on a critical analysis of this Risk Assessment (RA) approach from a semantic-modelling (SM) perspective, emphasizing the importance of several seemingly self-evident principles, including the definition of concepts, application of explicit methodological procedures and specification of how underlying values and scientific information lead to the RA output. In addition, the need to include positive aspects of welfare and overall welfare assessments are emphasized. The analysis shows that the RA approach for animal welfare could benefit from SM methodology to support transparent and science-based decision-making.

  19. Semantic Search of Web Services

    Science.gov (United States)

    Hao, Ke

    2013-01-01

    This dissertation addresses semantic search of Web services using natural language processing. We first survey various existing approaches, focusing on the fact that the expensive costs of current semantic annotation frameworks result in limited use of semantic search for large scale applications. We then propose a vector space model based service…

  20. Semantic Search of Web Services

    Science.gov (United States)

    Hao, Ke

    2013-01-01

    This dissertation addresses semantic search of Web services using natural language processing. We first survey various existing approaches, focusing on the fact that the expensive costs of current semantic annotation frameworks result in limited use of semantic search for large scale applications. We then propose a vector space model based service…

  1. Temporal Representation in Semantic Graphs

    Energy Technology Data Exchange (ETDEWEB)

    Levandoski, J J; Abdulla, G M

    2007-08-07

    A wide range of knowledge discovery and analysis applications, ranging from business to biological, make use of semantic graphs when modeling relationships and concepts. Most of the semantic graphs used in these applications are assumed to be static pieces of information, meaning temporal evolution of concepts and relationships are not taken into account. Guided by the need for more advanced semantic graph queries involving temporal concepts, this paper surveys the existing work involving temporal representations in semantic graphs.

  2. From Tls to Hbim. High Quality Semantically-Aware 3d Modeling of Complex Architecture

    Science.gov (United States)

    Quattrini, R.; Malinverni, E. S.; Clini, P.; Nespeca, R.; Orlietti, E.

    2015-02-01

    In order to improve the framework for 3D modeling, a great challenge is to obtain the suitability of Building Information Model (BIM) platform for historical architecture. A specific challenge in HBIM is to guarantee appropriateness of geometrical accuracy. The present work demonstrates the feasibility of a whole HBIM approach for complex architectural shapes, starting from TLS point clouds. A novelty of our method is to work in a 3D environment throughout the process and to develop semantics during the construction phase. This last feature of HBIM was analyzed in the present work verifying the studied ontologies, enabling the data enrichment of the model with non-geometrical information, such as historical notes, decay or deformation evidence, decorative elements etc. The case study is the Church of Santa Maria at Portonovo, an abbey from the Romanesque period. Irregular or complex historical architecture, such as Romanesque, needs the construction of shared libraries starting from the survey of its already existing elements. This is another key aspect in delivering Building Information Modeling standards. In particular, we focus on the quality assessment of the obtained model, using an open-source sw and the point cloud as reference. The proposed work shows how it is possible to develop a high quality 3D model semantic-aware, capable of connecting geometrical-historical survey with descriptive thematic databases. In this way, a centralized HBIM will serve as comprehensive dataset of information about all disciplines, particularly for restoration and conservation. Moreover, the geometric accuracy will ensure also reliable visualization outputs.

  3. Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis.

    Science.gov (United States)

    Moreno-Conde, Alberto; Moner, David; Cruz, Wellington Dimas da; Santos, Marcelo R; Maldonado, José Alberto; Robles, Montserrat; Kalra, Dipak

    2015-07-01

    This systematic review aims to identify and compare the existing processes and methodologies that have been published in the literature for defining clinical information models (CIMs) that support the semantic interoperability of electronic health record (EHR) systems. Following the preferred reporting items for systematic reviews and meta-analyses systematic review methodology, the authors reviewed published papers between 2000 and 2013 that covered that semantic interoperability of EHRs, found by searching the PubMed, IEEE Xplore, and ScienceDirect databases. Additionally, after selection of a final group of articles, an inductive content analysis was done to summarize the steps and methodologies followed in order to build CIMs described in those articles. Three hundred and seventy-eight articles were screened and thirty six were selected for full review. The articles selected for full review were analyzed to extract relevant information for the analysis and characterized according to the steps the authors had followed for clinical information modeling. Most of the reviewed papers lack a detailed description of the modeling methodologies used to create CIMs. A representative example is the lack of description related to the definition of terminology bindings and the publication of the generated models. However, this systematic review confirms that most clinical information modeling activities follow very similar steps for the definition of CIMs. Having a robust and shared methodology could improve their correctness, reliability, and quality. Independently of implementation technologies and standards, it is possible to find common patterns in methods for developing CIMs, suggesting the viability of defining a unified good practice methodology to be used by any clinical information modeler. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  4. Gaussian mixture models and semantic gating improve reconstructions from human brain activity

    Directory of Open Access Journals (Sweden)

    Sanne eSchoenmakers

    2015-01-01

    Full Text Available Better acquisition protocols and analysis techniques are making it possible to use fMRI to obtain highly detailed visualizations of brain processes. In particular we focus on the reconstruction of natural images from BOLD responses in visual cortex. We expand our linear Gaussian framework for percept decoding with Gaussian mixture models to better represent the prior distribution of natural images. Reconstruction of such images then boils down to probabilistic inference in a hybrid Bayesian network. In our set-up, different mixture components correspond to different character categories. Our framework can automatically infer higher-order semantic categories from lower-level brain areas. Furthermore the framework can gate semantic information from higher-order brain areas to enforce the correct category during reconstruction. When categorical information is not available, we show that automatically learned clusters in the data give a similar improvement in reconstruction. The hybrid Bayesian network leads to highly accurate reconstructions in both supervised and unsupervised settings.

  5. An Integrated Software Framework to Support Semantic Modeling and Reasoning of Spatiotemporal Change of Geographical Objects: A Use Case of Land Use and Land Cover Change Study

    Directory of Open Access Journals (Sweden)

    Wenwen Li

    2016-09-01

    Full Text Available Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in effective organization, representation and modeling of such information. This study proposes and implements an integrated computational framework to support the modeling, semantic and spatial reasoning of change information with regard to space, time and topology. We first proposed a conceptual model to formally represent the spatiotemporal variation of change data, which is essential knowledge to support various environmental and social studies, such as deforestation and urbanization studies. Then, a spatial ontology was created to encode these semantic spatiotemporal data in a machine-understandable format. Based on the knowledge defined in the ontology and related reasoning rules, a semantic platform was developed to support the semantic query and change trajectory reasoning of areas with LULCC. This semantic platform is innovative, as it integrates semantic and spatial reasoning into a coherent computational and operational software framework to support automated semantic analysis of time series data that can go beyond LULC datasets. In addition, this system scales well as the amount of data increases, validated by a number of experimental results. This work contributes significantly to both the geospatial Semantic Web and GIScience communities in terms of the establishment of the (web-based semantic platform for collaborative question answering and decision-making.

  6. A structure-based model of semantic integrity constraints for relational data bases

    Science.gov (United States)

    Rasdorf, William J.; Ulberg, Karen J.; Baugh, John W., Jr.

    1987-01-01

    Data base management systems (DBMSs) are in widespread use because of the ease and flexibility with which users access large volumes of data. Ensuring data accuracy through integrity constraints is a central aspect of DBMS use. However, many DBMSs still lack adequate integrity support. In additon, a comprehensive theoretical basis for such support the role of a constraint classification system - has yet to be developed. This paper presents a formalism that classifies semantic integrity constraints based on the structure of the relational model. Integrity constraints are characterized by the portion of the data base structure they access, whether one or more relations, attributes, or tuples. Thus, the model is completely general, allowing the arbitrary specification of any constraint. Examples of each type of constraint are illustrated using a small engineering data base, and various implementation issues are discussed.

  7. Supporting Personal Semantic Annotations in P2P Semantic Wikis

    Science.gov (United States)

    Torres, Diego; Skaf-Molli, Hala; Díaz, Alicia; Molli, Pascal

    In this paper, we propose to extend Peer-to-Peer Semantic Wikis with personal semantic annotations. Semantic Wikis are one of the most successful Semantic Web applications. In semantic wikis, wikis pages are annotated with semantic data to facilitate the navigation, information retrieving and ontology emerging. Semantic data represents the shared knowledge base which describes the common understanding of the community. However, in a collaborative knowledge building process the knowledge is basically created by individuals who are involved in a social process. Therefore, it is fundamental to support personal knowledge building in a differentiated way. Currently there are no available semantic wikis that support both personal and shared understandings. In order to overcome this problem, we propose a P2P collaborative knowledge building process and extend semantic wikis with personal annotations facilities to express personal understanding. In this paper, we detail the personal semantic annotation model and show its implementation in P2P semantic wikis. We also detail an evaluation study which shows that personal annotations demand less cognitive efforts than semantic data and are very useful to enrich the shared knowledge base.

  8. Methodological pitfalls of the Unconscious Thought paradigm

    Directory of Open Access Journals (Sweden)

    David Marchiori

    2009-12-01

    Full Text Available According to Unconscious Thought Theory (UTT: Dijksterhuis and Nordgren, 2006, complex decisions are best made after a period of distraction assumed to elicit ``unconscious thought''. Over three studies, respectively offering a conceptual, an identical and a methodologically improved replication of Dijksterhuis et al. (2006, we reassessed UTT's predictions and dissected the decision task used to demonstrate these predictions. We failed to find any evidence for the benefits of unconscious decision-making. By contrast, we found some evidence that conscious deliberation can lead to better decisions. Further, we identified methodological weaknesses in the UTT decision task: (a attributes weighting was neglected although attributes were seen as different in importance; (b the material was not properly counterbalanced; and (c there was some confusion in the experimental instructions. We propose methodological improvements that address these concerns.

  9. Semantic Session Analysis for Web Usage Mining

    Institute of Scientific and Technical Information of China (English)

    ZHANG Hui; SONG Hantao; XU Xiaomei

    2007-01-01

    A semantic session analysis method partitioning Web usage logs is presented. Semantic Web usage log preparation model enhances usage logs with semantic. The Markov chain model based on ontology semantic measurement is used to identifying which active session a request should belong to. The competitive method is applied to determine the end of the sessions.Compared with other algorithms, more successful sessions are additionally detected by semantic outlier analysis.

  10. Neurophysiological correlates of sevoflurane-induced unconsciousness.

    Science.gov (United States)

    Blain-Moraes, Stefanie; Tarnal, Vijay; Vanini, Giancarlo; Alexander, Amir; Rosen, Derek; Shortal, Brenna; Janke, Ellen; Mashour, George A

    2015-02-01

    Recent studies of anesthetic-induced unconsciousness in humans have focused predominantly on the intravenous drug propofol and have identified anterior dominance of alpha rhythms and frontal phase-amplitude coupling patterns as neurophysiological markers. However, it is unclear whether the correlates of propofol-induced unconsciousness are generalizable to inhaled anesthetics, which have distinct molecular targets and which are used more commonly in clinical practice. The authors recorded 64-channel electroencephalograms in healthy human participants during consciousness, sevoflurane-induced unconsciousness, and recovery (n = 10; n = 7 suitable for analysis). Spectrograms and scalp distributions of low-frequency (1 Hz) and alpha (10 Hz) power were analyzed, and phase-amplitude modulation between these two frequencies was calculated in frontal and parietal regions. Phase lag index was used to assess phase relationships across the cortex. At concentrations sufficient for unconsciousness, sevoflurane did not result in a consistent anteriorization of alpha power; the relationship between low-frequency phase and alpha amplitude in the frontal cortex did not undergo characteristic transitions. By contrast, there was significant cross-frequency coupling in the parietal region during consciousness that was not observed after loss of consciousness. Furthermore, a reversible disruption of anterior-posterior phase relationships in the alpha bandwidth was identified as a correlate of sevoflurane-induced unconsciousness. In humans, sevoflurane-induced unconsciousness is not correlated with anteriorization of alpha and related cross-frequency patterns, but rather by a disruption of phase-amplitude coupling in the parietal region and phase-phase relationships across the cortex.

  11. Reactive Kripke semantics

    CERN Document Server

    Gabbay, Dov M

    2013-01-01

    This text offers an extension to the traditional Kripke semantics for non-classical logics by adding the notion of reactivity. Reactive Kripke models change their accessibility relation as we progress in the evaluation process of formulas in the model. This feature makes the reactive Kripke semantics strictly stronger and more applicable than the traditional one. Here we investigate the properties and axiomatisations of this new and most effective semantics, and we offer a wide landscape of applications of the idea of reactivity. Applied topics include reactive automata, reactive grammars, rea

  12. Extracting Semantically Annotated 3d Building Models with Textures from Oblique Aerial Imagery

    Science.gov (United States)

    Frommholz, D.; Linkiewicz, M.; Meissner, H.; Dahlke, D.; Poznanska, A.

    2015-03-01

    This paper proposes a method for the reconstruction of city buildings with automatically derived textures that can be directly used for façade element classification. Oblique and nadir aerial imagery recorded by a multi-head camera system is transformed into dense 3D point clouds and evaluated statistically in order to extract the hull of the structures. For the resulting wall, roof and ground surfaces high-resolution polygonal texture patches are calculated and compactly arranged in a texture atlas without resampling. The façade textures subsequently get analyzed by a commercial software package to detect possible windows whose contours are projected into the original oriented source images and sparsely ray-casted to obtain their 3D world coordinates. With the windows being reintegrated into the previously extracted hull the final building models are stored as semantically annotated CityGML "LOD-2.5" objects.

  13. Semantic Multi-granular Lock model for Object Oriented Distributed Systems

    Directory of Open Access Journals (Sweden)

    V.Geetha

    2013-04-01

    Full Text Available In object oriented distributed systems (OODS, the objects are viewed as resources. Concurrency control techniques are usually applied on the database tier. This has the limitations of lack of support of legacy files and requirement of separate concurrency control mechanisms for each database model. Hence concurrency control on the objects at server tier is explored. To implement concurrency control on the objects participating in a system, the impact of method types, properties and class relationships namely inheritance, association and aggregation are to be analyzed. In this paper, the types and properties of classes and attributes are analysed. The semantics of the class relationships are analysed to ascertain their lock modes, granule sizes for defining concurrency control in OODS. It is also intended to propose compatibility matrix among all these object relationships.

  14. Semantic Building Information Modeling and high definition surveys for Cultural Heritage sites

    Directory of Open Access Journals (Sweden)

    Simone Garagnani

    2012-11-01

    Full Text Available In recent years, digital technology devoted to the building design has experienced significant advancements allowing to reach, by means of the Building Information Modeling, those goals only imagined since the mid-Seventies of the last century. The BIM process, bearer of several advantages for actors and designers who implement it in their workflow, may be employed even in various case studies related to some interventions on the existing architectural Cultural Heritage. The semantics typical of the classical architecture, so pervasive in the European urban landscape, as well as the Modern or Contemporary architecture features, coincide with the self-conscious structure made of “smart objects” proper of BIM, which proves to be an effective system to document component relationships. However, the translation of existing buildings geometric information, acquired using the common techniques of laser scanning and digital photogrammetry, into BIM objects, is still a critical process that this paper aims to investigate, describing possible methods and approaches.

  15. A signal detection theory analysis of an unconscious perception effect.

    Science.gov (United States)

    Haase, S J; Theios, J; Jenison, R

    1999-07-01

    The independent observation model (Macmillan & Creelman, 1991) is fitted to detection-identification data collected under conditions of heavy masking. The model accurately predicts a quantitative relationship between stimulus detection and stimulus identification over a wide range of detection performance. This model can also be used to offer a signal detection interpretation of the common finding of above-chance identification following a missed signal. While our finding is not a new one, the stimuli used in this experiment (redundant three-letter strings) differ slightly from those used in traditional signal detection work. Also, the stimuli were presented very briefly and heavily masked, conditions typical in the study of unconscious perception effects.

  16. Semantic World Modelling and Data Management in a 4d Forest Simulation and Information System

    Science.gov (United States)

    Roßmann, J.; Hoppen, M.; Bücken, A.

    2013-08-01

    Various types of 3D simulation applications benefit from realistic forest models. They range from flight simulators for entertainment to harvester simulators for training and tree growth simulations for research and planning. Our 4D forest simulation and information system integrates the necessary methods for data extraction, modelling and management. Using modern methods of semantic world modelling, tree data can efficiently be extracted from remote sensing data. The derived forest models contain position, height, crown volume, type and diameter of each tree. This data is modelled using GML-based data models to assure compatibility and exchangeability. A flexible approach for database synchronization is used to manage the data and provide caching, persistence, a central communication hub for change distribution, and a versioning mechanism. Combining various simulation techniques and data versioning, the 4D forest simulation and information system can provide applications with "both directions" of the fourth dimension. Our paper outlines the current state, new developments, and integration of tree extraction, data modelling, and data management. It also shows several applications realized with the system.

  17. Prototyping the Semantics of a DSL using ASF+SDF: Link to Formal Verification of DSL Models

    CERN Document Server

    Andova, Suzana; Engelen, Luc; 10.4204/EPTCS.56.5

    2011-01-01

    A formal definition of the semantics of a domain-specific language (DSL) is a key prerequisite for the verification of the correctness of models specified using such a DSL and of transformations applied to these models. For this reason, we implemented a prototype of the semantics of a DSL for the specification of systems consisting of concurrent, communicating objects. Using this prototype, models specified in the DSL can be transformed to labeled transition systems (LTS). This approach of transforming models to LTSs allows us to apply existing tools for visualization and verification to models with little or no further effort. The prototype is implemented using the ASF+SDF Meta-Environment, an IDE for the algebraic specification language ASF+SDF, which offers efficient execution of the transformation as well as the ability to read models and produce LTSs without any additional pre or post processing.

  18. Prototyping the Semantics of a DSL using ASF+SDF: Link to Formal Verification of DSL Models

    Directory of Open Access Journals (Sweden)

    Suzana Andova

    2011-06-01

    Full Text Available A formal definition of the semantics of a domain-specific language (DSL is a key prerequisite for the verification of the correctness of models specified using such a DSL and of transformations applied to these models. For this reason, we implemented a prototype of the semantics of a DSL for the specification of systems consisting of concurrent, communicating objects. Using this prototype, models specified in the DSL can be transformed to labeled transition systems (LTS. This approach of transforming models to LTSs allows us to apply existing tools for visualization and verification to models with little or no further effort. The prototype is implemented using the ASF+SDF Meta-Environment, an IDE for the algebraic specification language ASF+SDF, which offers efficient execution of the transformation as well as the ability to read models and produce LTSs without any additional pre or post processing.

  19. Understanding Unconscious Bias and Unintentional Racism

    Science.gov (United States)

    Moule, Jean

    2009-01-01

    Unconscious biases affect one's relationships, whether they are fleeting relationships in airports or longer term relationships between teachers and students, teachers and parents, teachers and other educators. In this article, the author argues that understanding one's possible biases is essential for developing community in schools.…

  20. Unconscious Factors in Choice of a Mate

    Science.gov (United States)

    Ottenheimer, Lilly

    1971-01-01

    If the selection of a spouse is based on the unconscious wish to correct disturbances which previously existed in the parent child relationship, the marriage is threatened from the start. This article examines motivations derived from early developmental phases which form convictions which later become the nucleus for mate choice. (Author/CJ)

  1. Cross Cultural Differences in Unconscious Knowledge

    Science.gov (United States)

    Kiyokawa, Sachiko; Dienes, Zoltan; Tanaka, Daisuke; Yamada, Ayumi; Crowe, Louise

    2012-01-01

    Previous studies have indicated cross cultural differences in conscious processes, such that Asians have a global preference and Westerners a more analytical one. We investigated whether these biases also apply to unconscious knowledge. In Experiment 1, Japanese and UK participants memorized strings of large (global) letters made out of small…

  2. Beyond Bigotry: Teaching about Unconscious Prejudice

    Science.gov (United States)

    Ghoshal, Raj Andrew; Lippard, Cameron; Ribas, Vanesa; Muir, Ken

    2013-01-01

    Researchers have demonstrated that unconscious prejudices around characteristics such as race, gender, and class are common, even among people who avow themselves unbiased. The authors present a method for teaching about implicit racial bias using online Implicit Association Tests. The authors do not claim that their method rids students of…

  3. Possible relation between psychosis and the unconscious: a review of The Unconscious, by Freud

    Directory of Open Access Journals (Sweden)

    Jacqueline De Oliveira Moreira

    2015-07-01

    Full Text Available This reviewintends to present some elements of the Freudian thinking on psychosis, focusing on the relations between psychosis and the unconscious. The unconscious phenomena which episodically cross the neurotic individual are massively and continuously shown on psychosis. The psychotic individual appears to be constantly invaded by the other, like a strange person, which bursts inside of him/her and presents itself as a threat to the process of construction of this person’s identity. But what is the relation between the unconscious and psychosis in the Freudian text? It could be concluded that the psychotic individual may be invaded by a pulsating unconscious which demands a symbolic mediation. This reveals the importance of associating verbal construction tomedication in cases of psychosis.

  4. Possible relation between psychosis and the unconscious: a review of "The Unconscious," by Freud.

    Science.gov (United States)

    de Oliveira Moreira, Jacqueline; Drawin, Carlos R

    2015-01-01

    This review intends to present some elements of the Freudian thinking on psychosis, focusing on the relations between psychosis and the unconscious. The unconscious phenomena which episodically cross the neurotic individual are massively and continuously shown on psychosis. The psychotic individual appears to be constantly invaded by the other, like a strange person, which bursts inside of him/her and presents itself as a threat to the process of construction of this person's identity. But what is the relation between the unconscious and psychosis in the Freudian text? It could be hypothesized that the psychotic individual may be invaded by a pulsating unconscious which demands a symbolic mediation. This reveals the importance of associating verbal construction to medication in cases of psychosis.

  5. Correlating Formal Semantic Models of Reo Connectors: Connector Coloring and Constraint Automata

    Directory of Open Access Journals (Sweden)

    Sung-Shik T.Q. Jongmans

    2011-07-01

    Full Text Available Over the past decades, coordination languages have emerged for the specification and implementation of interaction protocols for communicating software components. This class of languages includes Reo, a platform for compositional construction of connectors. In recent years, various formalisms for describing the behavior of Reo connectors have come to existence, each of them serving its own purpose. Naturally, questions about how these models relate to each other arise. From a theoretical point of view, answers to these questions provide us with better insight into the fundamentals of Reo, while from a more practical perspective, these answers broaden the applicability of Reo's development tools. In this paper, we address one of these questions: we investigate the equivalence between coloring models and constraint automata, the two most dominant and practically relevant semantic models of Reo. More specifically, we define operators that transform one model to the other (and vice versa, prove their correctness, and show that they distribute over composition. To ensure that the transformation operators map one-to-one (instead of many-to-one, we extend coloring models with data constraints. Though primarily a theoretical contribution, we sketch some potential applications of our results: the broadening of the applicability of existing tools for connector verification and animation.

  6. Syntactic processing in the absence of awareness and semantics.

    Science.gov (United States)

    Hung, Shao-Min; Hsieh, Po-Jang

    2015-10-01

    The classical view that multistep rule-based operations require consciousness has recently been challenged by findings that both multiword semantic processing and multistep arithmetic equations can be processed unconsciously. It remains unclear, however, whether pure rule-based cognitive processes can occur unconsciously in the absence of semantics. Here, after presenting 2 words consciously, we suppressed the third with continuous flash suppression. First, we showed that the third word in the subject-verb-verb format (syntactically incongruent) broke suppression significantly faster than the third word in the subject-verb-object format (syntactically congruent). Crucially, the same effect was observed even with sentences composed of pseudowords (pseudo subject-verb-adjective vs. pseudo subject-verb-object) without any semantic information. This is the first study to show that syntactic congruency can be processed unconsciously in the complete absence of semantics. Our findings illustrate how abstract rule-based processing (e.g., syntactic categories) can occur in the absence of visual awareness, even when deprived of semantics.

  7. Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science

    Science.gov (United States)

    de Rigo, Daniele

    2013-04-01

    Computational aspects increasingly shape environmental sciences [1]. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface [2-7]. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) [8-10] - often deal with factors (a) for which deep-uncertainty [2,11-13] may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS [2,8,10,14,15] and free software [16,17] are discussed as possible mitigations (b) . Software uncertainty, black-boxes and free software. Integrated natural resources modelling and management (INRMM) [29] frequently exploits chains of nontrivial data-transformation models (D- TM), each of them affected by uncertainties and errors. Those D-TM chains may be packaged as monolithic specialized models, maybe only accessible as black-box executables (if accessible at all) [50]. For end-users, black-boxes merely transform inputs in the final outputs, relying on classical peer-reviewed publications for describing the internal mechanism. While software tautologically plays a vital role in CS, it is often neglected in favour of more theoretical aspects. This paradox has been provocatively described as "the invisibility of software in published science. Almost all published papers required some coding, but almost none mention software, let alone include or link to source code" [51]. Recently, this primacy of theory over reality [52-54] has been challenged by new emerging hybrid approaches [55] and by the

  8. PERCEPTUAL UNCONSCIOUS PROCESSING OF THE BRAIN%脑的感知觉无意识加工及其研究进展

    Institute of Scientific and Technical Information of China (English)

    柯学; 隋南; 沈德立

    2001-01-01

    该文从无意识加工与认知、脑结构、神经网络的关系等三个层面,阐述了近年来认知神经科学在无意识研究方面的进展。主要就无意识与意识的相互转化、无意识加工与认知层次、脑结构之间的关联性、突触的联结方式等问题进行了讨论,并对认知神经科学如何研究无意识与意识问题提出展望。%Consciousness has become a challenging question in life sciences. The viewpoint that consciousness is the processing of information at various levels of awareness is being widely accepted. It is inevitable to deal with unconscious or automatic processing for explicating consciousness. The main concern is how consciousness is converted into unconsciousness, how unconsciousness is done into consciousness, and the potential brain mechanisms of the conversion, including involvements of anatomical and functional structure, synaptic connections in the neural networks and so on. The study of unconsciousness is of great benefit to untie the mystery of consciousness that has been coming into focus by contemporary neuroscience. Recent progress of the study on the mechanisms of unconscious processing was reviewed from the points of cognitive neuroscience at different levels: the cognitive profile of unconsciousness, the correlation between unconsciousness and brain structures, and the interplay of synaptic connections. Contemporary research in cognitive psychology revealed that unconscious processing could even reach semantic level, including unconscious processing of image, character and figure. In addition, unconscious processing was different from conscious processing in nature and was distributed widely across the processing system of the brain, rather than localized in any particular unit. Recently, cognitive neuroscience has got lots of findings on perceptual unconscious processing with functional magnetic resonance imaging (fMRI), positron emission tomography (PET

  9. Land use regression models for total particle number concentrations using 2D, 3D and semantic parameters

    Science.gov (United States)

    Ghassoun, Yahya; Löwner, Marc-Oliver

    2017-10-01

    Total particle number concentration (TNC) was studied in a 1 × 2 km area in Berlin, the capital of Germany by three Land Use Regression models (LUR). The estimation of TNC was established and compared using one 2D-LUR and two 3D-LUR models. All models predict total number concentrations TNC by using urban morphological (2D resp. 3D) and additional semantical parameters. 2D and semantical parameters were derived from Open Street Map data (OSM) whereas 3D parameters were derived from a CityGML-based 3D city model. While the models are capable to depict the spatial variation of TNC across the study area, the two 3D-LUR showed better results than the 2D-LUR. The 2D-LUR model explained 74% of the variance of TNC for the full data set with root mean square error (RMSE) of 4014 cm-3 while the 3D-LUR explained 79% of the variance with an RMSE of 3477 cm-3. The further introduction of a new spatial parameter, the Frontal Area Index (FAI) that represents the dynamic factor wind direction enhanced the 3D-LUR to explain 82% of the variance with RMSE of 3389 cm-3. Furthermore, the semantical parameters (e.g. streets type) played a significant role in all models.

  10. Semantics-Configurable Model Transformation%语义可配置的模型转换*

    Institute of Scientific and Technical Information of China (English)

    何啸; 麻志毅; 王瑞超; 邵维忠

    2013-01-01

      模型转换是模型驱动体系结构的核心技术之一。在一个复杂的模型驱动的开发过程中,可能同时使用多种转换语言及相应的工具实现转换程序。这一方面增加了开发人员的学习负担,也会导致各种兼容性问题的出现。提出一种语义可配置的模型转换技术,通过重新定义转换语言的语义,允许开发人员使用一种转换语言解决不同的转换问题。首先,总结出一组常见的转换原语;然后,利用一种基于 OCL 的脚本语言 TSS 来描述转换语言的语义;最后,对该方法的完全性、表达能力和复杂度进行了讨论,并通过一组案例对该方法进行了验证。%Model transformation is a vital technique of MDA. In a complex model-driven development process, it is most likely capapble of employing multiple transformation languages, along with their corresponding tools, to develop a set of model transformations. This increases the learning costs, and also leads to some compatibility problems. The paper proposes a technique of semantics-configurable model transformation, which enables developers to solve different problems using one transformation language, by redefining the semantics of the language. First, a set of common primitive actions are proposed. Then, TSS, an OCL-based scripting language, is employed to specify the logic of a primitive action. Finally, the paper discusses the completeness, expressiveness, and complexity of this approach, and evaluates the approach with some case studies.

  11. Semantic 3D Modeling Based on CityGML for Ancient Chinese-Style Architectural Roofs of Digital Heritage

    Directory of Open Access Journals (Sweden)

    Lin Li

    2017-04-01

    Full Text Available Ancient Chinese-style architecture has received increased attention during the last century as a segment of cultural heritage and is of great significance, specifically in regard to the process of digitizing and modeling these buildings to preserve and protect this heritage. Because the roof form reflects the age of the structure, the structural character and the historical culture of the ancient building, constructing a refined model for the roof is a primary aspect of the 3D modeling procedure. To avoid cumbersome traditional modeling approaches that use geometry units, such as points, lines and triangles, a flexible semantic method is proposed in this study to improve modeling efficiency and reduce the professional requirements. In this method, a two-level semantic decomposition of the roof is presented according to the characteristics of ancient Chinese-style architecture. The structural level reveals the basic components that determine its structural shape, and the decorative level refers to the attached components that influence the exterior appearance. The assembly validity of the decomposed elements and the combined diversity of the integrated entities are ensured by topological constraints and derived transformations of the semantic components. This proposed method was implemented by utilizing CityGML (City Geography Markup Language via the ADE (Application Domain Extension mechanism and was tested by modeling the principal buildings included in the Palace Museum.

  12. Automatic construction of 3D basic-semantic models of inhabited interiors using laser scanners and RFID sensors.

    Science.gov (United States)

    Valero, Enrique; Adan, Antonio; Cerrada, Carlos

    2012-01-01

    This paper is focused on the automatic construction of 3D basic-semantic models of inhabited interiors using laser scanners with the help of RFID technologies. This is an innovative approach, in whose field scarce publications exist. The general strategy consists of carrying out a selective and sequential segmentation from the cloud of points by means of different algorithms which depend on the information that the RFID tags provide. The identification of basic elements of the scene, such as walls, floor, ceiling, windows, doors, tables, chairs and cabinets, and the positioning of their corresponding models can then be calculated. The fusion of both technologies thus allows a simplified 3D semantic indoor model to be obtained. This method has been tested in real scenes under difficult clutter and occlusion conditions, and has yielded promising results.

  13. Development of a semantic-enabled cybersecurity threat intelligence sharing model

    CSIR Research Space (South Africa)

    Mtsweni, Jabu

    2016-03-01

    Full Text Available intelligence solutions lack the semantic knowledge essential for automated sharing of timely and context-aware information within a specific operating domain. Moreover, existing cybersecurity information sharing solutions lack the visualization and intelligence...

  14. A Semantic-Based Model for Triage Patients in Emergency Departments.

    Science.gov (United States)

    Wunsch, Guilherme; da Costa, Cristiano A; Righi, Rodrigo R

    2017-04-01

    Triage is a process performed in an emergency department that aims to sort patients according to their need for care. When performed speedily and correctly, this process can potentially increase the chances of survival for a patient with serious complications. This study aims to develop a computer model, called UbiTriagem, which supports the process of triage using the concepts of web semantics and ubiquitous computing focused on healthcare. For evaluating the proposal, we performed an analysis of scenario-driven triage based on previously determined ratings. In addition, we conducted a usability evaluation in emergency department with the developed prototype with two user groups: nurses and patients. The main scientific contribution is the automatic triage assessment based on the gathering of patient data on mobile devices, performed automatically through the use of a reasoning technique in an ontology. The results for all evaluations were very positive. The automatic triage assessment has been assertive in 93.3% of the cases and, after adjustments in the model, in 100% of the cases. Regarding user satisfaction, we obtained rates of 98.7% and 96% when considering perception of utility and ease of use, respectively.

  15. Cloned images and the optical unconscious

    DEFF Research Database (Denmark)

    Romic, Bojana

    , because this young woman had no political/activist record – it was her image that communicated with the world. References: Benjamin, W. (1999) Little History of Photography. in: Jennings, M.W., Eiland, H., Smith, G. (eds) Selected Writings: Volume 2 1927-1934. Cambridge, Massachusetts: The Belknap Press...... that her use of the term is at an angle to Benjamin's: speaking of the modernist optical logic, she retrieves the associationist theory and the notion of memory: 'the only point of recognition within associationist theory that consciousness might be shot through by unconscious conflict...... be stored in a memory of an observer – and later recognised as a pattern (structure) in the another image. The associative process that takes place is usually hidden from the observer, thus the use of the term optical unconscious. As the image gets disseminated via electronic media – 'cloned' is the term...

  16. Some comments on the Freudian unconscious.

    Science.gov (United States)

    Modell, Arnold H

    2013-08-01

    Freud's insight that mental processes are fundamentally unconscious is now an unquestioned assumption of neuroscience and cognitive psychology. Psychoanalysts are now faced with the question, What differentiated the psychoanalytic unconscious from that of other disciplines? Behind this question lies a more profound issue, the mind-body or mind-brain problem. It appears to be an insoluble paradox. Freud's concept of repression as a defense "mechanism" illustrates this paradox. To describe repression as a "mechanism" is to claim that it is analogous to a physiological process. Yet we know that repression is highly individualistic and subject to cultural values. In examining the Freudian concept of the primary process, the Noble prize-winning psychologist Daniel Kahneman has shown that the primary process is not wish fulfilling, as Freud claimed, but adaptive. The waking primary process is in the service of the reality principle. The growth of contemporary neuroscience has created challenging problems for psychoanalysis that did not exist in Freud's lifetime.

  17. Resource modalities in game semantics

    CERN Document Server

    Melliès, Paul-André

    2007-01-01

    The description of resources in game semantics has never achieved the simplicity and precision of linear logic, because of a misleading conception: the belief that linear logic is more primitive than game semantics. We advocate instead the contrary: that game semantics is conceptually more primitive than linear logic. Starting from this revised point of view, we design a categorical model of resources in game semantics, and construct an arena game model where the usual notion of bracketing is extended to multi- bracketing in order to capture various resource policies: linear, affine and exponential.

  18. Time Petri Net Model with Mixed Semantics%混合语义时间Petri网模型

    Institute of Scientific and Technical Information of China (English)

    潘理; 丁志军; 郭观七

    2011-01-01

    提出了时间Petri网的混合语义模型,通过在变迁及其非冲突变迁集的最小上界处设置强制实施点,排除冲突变迁对变迁可实施性的影响,达到既能扩大模型调度范围又可保证任务调度时限性的目的,以解决现有语义模型在调度分析上的缺陷.进一步证明了混合语义模型的图灵等价性及标识可达性问题的不可判定性,然后界定了3种语义模型的时间语言接受能力.最后提出了状态类分析方法,用于模型的可调度性分析和时间计算,并以一个柔性制造系统为例,比较和验证了3种语义模型的调度分析能力.%This paper presents a time Petri net (TPN) model with mixed semantics that efficiently addresses the schedulability analysis problem of the existing semantics models. The proposed model associates each firahle transition with a mandatory firing point that is set to the least upper bound of the transition and its non-conflicting transitions. This treatment not only eliminates the effect of conflicting transitions on the transition friability and extends the scheduling scope of the TPN model, but also ensures the time limit of thc task scheduling. To determine thc exprcssiveness of the mixed model, the study proves that the mixed semantics model has the power of Turing machines and its marking reachability problem is undecidable. The timed expressiveness of three semantics models with respect to timed language acceptance is also comparcd. A statc class approach is then proposed for the scheduling analysis of thc mixed model. Finally, a flexible manufacturing system is used as an example to compare the scheduling ability of three semantics models.

  19. Underpowered samples, false negatives, and unconscious learning

    OpenAIRE

    Vadillo, M. A.; Konstantinidis, E.; Shanks, D.R.

    2016-01-01

    The scientific community has witnessed growing concern about the high rate of false positives and unreliable results within the psychological literature, but the harmful impact of false negatives has been largely ignored. False negatives are particularly concerning in research areas where demonstrating the absence of an effect is crucial, such as studies of unconscious or implicit processing. Research on implicit processes seeks evidence of above-chance performance on some implicit behavioral...

  20. The Creative Unconscious and the Pictorial Sign

    OpenAIRE

    Helliwell, Paul

    2016-01-01

    Within The Creative Unconscious and Pictorial Sign I explore the dialogue that exists between social language and personal expression to understand how creativity is mediated. I consider how the involuntary inventiveness of artistic creativity and the structuring function of language come to negotiate what artists can experience and represent. My Doctoral practice attempts to question the influence of orthodox postmodernist views and allow sensual and direct experiences to be located within i...

  1. A Semantic Model to Study Neural Organization of Language in Bilingualism

    Directory of Open Access Journals (Sweden)

    M. Ursino

    2010-01-01

    Full Text Available A neural network model of object semantic representation is used to simulate learning of new words from a foreign language. The network consists of feature areas, devoted to description of object properties, and a lexical area, devoted to words representation. Neurons in the feature areas are implemented as Wilson-Cowan oscillators, to allow segmentation of different simultaneous objects via gamma-band synchronization. Excitatory synapses among neurons in the feature and lexical areas are learned, during a training phase, via a Hebbian rule. In this work, we first assume that some words in the first language (L1 and the corresponding object representations are initially learned during a preliminary training phase. Subsequently, second-language (L2 words are learned by simultaneously presenting the new word together with the L1 one. A competitive mechanism between the two words is also implemented by the use of inhibitory interneurons. Simulations show that, after a weak training, the L2 word allows retrieval of the object properties but requires engagement of the first language. Conversely, after a prolonged training, the L2 word becomes able to retrieve object per se. In this case, a conflict between words can occur, requiring a higher-level decision mechanism.

  2. A semantic model to study neural organization of language in bilingualism.

    Science.gov (United States)

    Ursino, M; Cuppini, C; Magosso, E

    2010-01-01

    A neural network model of object semantic representation is used to simulate learning of new words from a foreign language. The network consists of feature areas, devoted to description of object properties, and a lexical area, devoted to words representation. Neurons in the feature areas are implemented as Wilson-Cowan oscillators, to allow segmentation of different simultaneous objects via gamma-band synchronization. Excitatory synapses among neurons in the feature and lexical areas are learned, during a training phase, via a Hebbian rule. In this work, we first assume that some words in the first language (L1) and the corresponding object representations are initially learned during a preliminary training phase. Subsequently, second-language (L2) words are learned by simultaneously presenting the new word together with the L1 one. A competitive mechanism between the two words is also implemented by the use of inhibitory interneurons. Simulations show that, after a weak training, the L2 word allows retrieval of the object properties but requires engagement of the first language. Conversely, after a prolonged training, the L2 word becomes able to retrieve object per se. In this case, a conflict between words can occur, requiring a higher-level decision mechanism.

  3. Utilizing Statistical Semantic Similarity Techniques for Ontology Mapping——with Applications to AEC Standard Models

    Institute of Scientific and Technical Information of China (English)

    Pan Jiayi; Chin-Pang Jack Cheng; Gloria T. Lau; Kincho H. Law

    2008-01-01

    The objective of this paper is to introduce three semi-automated approaches for ontology mapping using relatedness analysis techniques. In the architecture, engineering, and construction (AEC) industry, there exist a number of ontological standards to describe the semantics of building models. Although the standards share similar scopes of interest, the task of comparing and mapping concepts among standards is challenging due to their differences in terminologies and perspectives. Ontology mapping is therefore necessary to achieve information interoperability, which allows two or more information sources to exchange data and to re-use the data for further purposes. The attribute-based approach, corpus-based approach, and name-based approach presented in this paper adopt the statistical relatedness analysis techniques to discover related concepts from heterogeneous ontologies. A pilot study is conducted on IFC and CIS/2 ontologies to evaluate the approaches. Preliminary results show that the attribute-based approach outperforms the other two approaches in terms of precision and F-measure.

  4. Toward Open Science at the European Scale: Geospatial Semantic Array Programming for Integrated Environmental Modelling

    Science.gov (United States)

    de Rigo, Daniele; Corti, Paolo; Caudullo, Giovanni; McInerney, Daniel; Di Leo, Margherita; San-Miguel-Ayanz, Jesús

    2013-04-01

    ://dx.doi.org/10.1126/science.1213847 Morin, A., Urban, J., Adams, P. D., Foster, I., Sali, A., Baker, D., Sliz, P., 2012. Shining light into black boxes. Science 336 (6078), 159-160. http://dx.doi.org/10.1126/science.1218263 Nature, 2011. Devil in the details. Nature 470 (7334), 305-306. http://dx.doi.org/10.1038/470305b Stodden, V., 2012. Reproducible research: Tools and strategies for scientific computing. Computing in Science and Engineering 14, 11-12. http://dx.doi.org/10.1109/MCSE.2012.82 de Rigo, D., Corti, P., Caudullo, G., McInerney, D., Di Leo, M., San-Miguel-Ayanz, J., (exp. 2013). Supporting Environmental Modelling and Science-Policy Interface at European Scale with Geospatial Semantic Array Programming. In prep. Molloy, J. C., 2011. The open knowledge foundation: Open data means better science. PLoS Biology 9 (12), e1001195+. http://dx.doi.org/10.1371/journal.pbio.1001195 de Rigo, D., 2013. Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science. Geophysical Research Abstracts 15, EGU General Assembly 2013. Cerf, V. G., 2012. Where is the science in computer science? Commun. ACM 55 (10), 5. http://dx.doi.org/10.1145/2347736.2347737 Wilson, G., 2006. Where's the real bottleneck in scientific computing? American Scientist 94 (1), 5+. http://dx.doi.org/10.1511/2006.1.5 de Rigo, D. 2012. Integrated Natural Resources Modelling and Management: minimal redefinition of a known challenge for environmental modelling. Excerpt from the Call for a shared research agenda toward scientific knowledge freedom, Maieutike Research Initiative. http://www.citeulike.org/groupfunc/15400/home Stallman, R. M., 2005. Free community science and the free development of science. PLoS Med 2 (2), e47+. http://dx.doi.org/10.1371/journal.pmed.0020047 Stallman, R. M., 2009. Viewpoint: Why "open source" misses the point of free software. Communications of the ACM 52 (6), 31-33. http://dx.doi.org/10.1145/1516046.1516058 (free access version: http://www

  5. A Lexical Semantic Database for Verbmobil

    CERN Document Server

    Heinecke, J; Heinecke, Johannes; Worm, Karsten L.

    1996-01-01

    This paper describes the development and use of a lexical semantic database for the Verbmobil speech-to-speech machine translation system. The motivation is to provide a common information source for the distributed development of the semantics, transfer and semantic evaluation modules and to store lexical semantic information application-independently. The database is organized around a set of abstract semantic classes and has been used to define the semantic contributions of the lemmata in the vocabulary of the system, to automatically create semantic lexica and to check the correctness of the semantic representations built up. The semantic classes are modelled using an inheritance hierarchy. The database is implemented using the lexicon formalism LeX4 developed during the project.

  6. Semantic Desktop

    Science.gov (United States)

    Sauermann, Leo; Kiesel, Malte; Schumacher, Kinga; Bernardi, Ansgar

    In diesem Beitrag wird gezeigt, wie der Arbeitsplatz der Zukunft aussehen könnte und wo das Semantic Web neue Möglichkeiten eröffnet. Dazu werden Ansätze aus dem Bereich Semantic Web, Knowledge Representation, Desktop-Anwendungen und Visualisierung vorgestellt, die es uns ermöglichen, die bestehenden Daten eines Benutzers neu zu interpretieren und zu verwenden. Dabei bringt die Kombination von Semantic Web und Desktop Computern besondere Vorteile - ein Paradigma, das unter dem Titel Semantic Desktop bekannt ist. Die beschriebenen Möglichkeiten der Applikationsintegration sind aber nicht auf den Desktop beschränkt, sondern können genauso in Web-Anwendungen Verwendung finden.

  7. Semantic modeling of the structural and process entities during plastic deformation of crystals and rocks

    Science.gov (United States)

    Babaie, Hassan; Davarpanah, Armita

    2016-04-01

    We are semantically modeling the structural and dynamic process components of the plastic deformation of minerals and rocks in the Plastic Deformation Ontology (PDO). Applying the Ontology of Physics in Biology, the PDO classifies the spatial entities that participate in the diverse processes of plastic deformation into the Physical_Plastic_Deformation_Entity and Nonphysical_Plastic_Deformation_Entity classes. The Material_Physical_Plastic_Deformation_Entity class includes things such as microstructures, lattice defects, atoms, liquid, and grain boundaries, and the Immaterial_Physical_Plastic_Deformation_Entity class includes vacancies in crystals and voids along mineral grain boundaries. The objects under the many subclasses of these classes (e.g., crystal, lattice defect, layering) have spatial parts that are related to each other through taxonomic (e.g., Line_Defect isA Lattice_Defect), structural (mereological, e.g., Twin_Plane partOf Twin), spatial-topological (e.g., Vacancy adjacentTo Atom, Fluid locatedAlong Grain_Boundary), and domain specific (e.g., displaces, Fluid crystallizes Dissolved_Ion, Void existsAlong Grain_Boundary) relationships. The dynamic aspect of the plastic deformation is modeled under the dynamical Process_Entity class that subsumes classes such as Recrystallization and Pressure_Solution that define the flow of energy amongst the physical entities. The values of the dynamical state properties of the physical entities (e.g., Chemical_Potential, Temperature, Particle_Velocity) change while they take part in the deformational processes such as Diffusion and Dislocation_Glide. The process entities have temporal parts (phases) that are related to each other through temporal relations such as precedes, isSubprocessOf, and overlaps. The properties of the physical entities, defined under the Physical_Property class, change as they participate in the plastic deformational processes. The properties are categorized into dynamical, constitutive

  8. A Novel Similarity Measure to Induce Semantic Classes and Its Application for Language Model Adaptation in a Dialogue System

    Institute of Scientific and Technical Information of China (English)

    Ya-Li Li; Wei-Qun Xu; Yong-Hong Yan

    2012-01-01

    In this paper,we propose a novel co-occurrence probabilities based similarity measure for inducing semantic classes.Clustering with the new similarity measure outperforms the widely used distance based on Kullback-Leibler divergence in precision,recall and F1 evaluation.In our experiments,we induced semantic clases from unannotated in-domain corpus and then used the induced classes and structures to generate large in-domain corpus which was then used for language model adaptation.Character recognition rate was improved from 85.2% to 91%.We imply a new measure to solve the lack of domain data problem by first induction then generation for a dialogue system.

  9. Understanding semantics

    DEFF Research Database (Denmark)

    Thrane, Torben

    1997-01-01

    Understanding natural language is a cognitive, information-driven process. Discussing some of the consequences of this fact, the paper offers a novel look at the semantic effect of lexical nouns and the identification of reference types.......Understanding natural language is a cognitive, information-driven process. Discussing some of the consequences of this fact, the paper offers a novel look at the semantic effect of lexical nouns and the identification of reference types....

  10. Unconscious influences on a choice of a career: implications for organizational consultation.

    Science.gov (United States)

    Malach-Pines, A; Yafe-Yanai, O

    1999-01-01

    The choice of a career is a highly significant and highly complex process that includes all the spheres of a person's life and continues throughout life. Psychodynamic theory makes a significant contribution to current models of career counseling and organizational consultation by adding the dimension of unconscious career choice. The unconscious determinants of vocational choice are internalized "objects" and "object relations" that reflect the individual's personal and familial history. People choose an occupation that enables them to replicate significant childhood experiences, fulfill needs that were unfulfilled in their childhood or actualize occupational dreams, professional patterns and expectations passed on to them by the familial heritage. The addition of the component of unconscious selection is critical to the full understanding of career choices and the prediction of success and satisfaction in that career. An example that demonstrates this point is presented.

  11. VALIDITY OF THE CONNECTION INTER-LEXICAL A-SEMANTICS IN THE COGNITIVE MODEL OF PROCESSING PRAXIS

    Directory of Open Access Journals (Sweden)

    P. G. Gómez

    2011-07-01

    Full Text Available Rothia Gonzalez et al. (1991, 1997 postulated a cognitive model of praxis on which changes were proposed (Cubelli et al., 2000, including the removal of the direct path between both input praxicon and output. Was suggested that to validate an inter-lexical a-semantics path (Cubelli et al., 2000 would enough to find a patientwith preserved ability for imitate familiar gestures, but with disturbances in the ability to access to the meaning of familiar gestures and alterations in ability for imitate unfamiliar gestures. The aim of this work is present two patients whose patterns ofperformance on praxis supports the existence of a pathway inter-lexical a-semantic. We evaluated two patients with Alzheimer type dementia unlikely with a battery of cognitive assessment of apraxia (Politis 2003. Both patients show alterations in test of Imitation of unfamiliar gestures and on tasks which assess semantic action objecttool watching and naming by function, with good performance on the task of imitating familiar gestures. Based on cognitive models of praxis Rothia Gonzalez et al. (1991, 1997 and Cubelli et al. (2000 is require a direct connection between both input praxicon and output to explain the performance of these patients. Of thus, the performance pattern showing both patients confirms existence of a pathway.Interlexical asemantics

  12. Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes

    Directory of Open Access Journals (Sweden)

    Spiro P. Pantazatos

    2009-01-01

    Full Text Available An approach towards heterogeneous neuroscience dataset integration is proposed that uses Natural Language Processing (NLP and a knowledge-based phenotype organizer system (PhenOS to link ontology-anchored terms to underlying data from each database, and then maps these terms based on a computable model of disease (SNOMED CT®. The approach was implemented using sample datasets from fMRIDC, GEO, The Whole Brain Atlas and Neuronames, and allowed for complex queries such as “List all disorders with a finding site of brain region X, and then find the semantically related references in all participating databases based on the ontological model of the disease or its anatomical and morphological attributes”. Precision of the NLP-derived coding of the unstructured phenotypes in each dataset was 88% (n = 50, and precision of the semantic mapping between these terms across datasets was 98% (n = 100. To our knowledge, this is the first example of the use of both semantic decomposition of disease relationships and hierarchical information found in ontologies to integrate heterogeneous phenotypes across clinical and molecular datasets.

  13. Integration of Neuroimaging and Microarray Datasets  through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes

    Directory of Open Access Journals (Sweden)

    Spiro P. Pantazatos

    2009-06-01

    Full Text Available An approach towards heterogeneous neuroscience dataset integration is proposed that uses Natural Language Processing (NLP and a knowledge-based phenotype organizer system (PhenOS to link ontology-anchored terms to underlying data from each database, and then maps these terms based on a computable model of disease (SNOMED CT®. The approach was implemented using sample datasets from fMRIDC, GEO, The Whole Brain Atlas and Neuronames, and allowed for complex queries such as “List all disorders with a finding site of brain region X, and then find the semantically related references in all participating databases based on the ontological model of the disease or its anatomical and morphological attributes”. Precision of the NLP-derived coding of the unstructured phenotypes in each dataset was 88% (n = 50, and precision of the semantic mapping between these terms across datasets was 98% (n = 100. To our knowledge, this is the first example of the use of both semantic decomposition of disease relationships and hierarchical information found in ontologies to integrate heterogeneous phenotypes across clinical and molecular datasets.

  14. The Semantic SPASE

    Science.gov (United States)

    Hughes, S.; Crichton, D.; Thieman, J.; Ramirez, P.; King, T.; Weiss, M.

    2005-12-01

    The Semantic SPASE (Space Physics Archive Search and Extract) prototype demonstrates the use of semantic web technologies to capture, document, and manage the SPASE data model, support facet- and text-based search, and provide flexible and intuitive user interfaces. The SPASE data model, under development since late 2003 by a consortium of space physics domain experts, is intended to serve as the basis for interoperability between independent data systems. To develop the Semantic SPASE prototype, the data model was first analyzed to determine the inherit object classes and their attributes. These were entered into Stanford Medical Informatics' Protege ontology tool and annotated using definitions from the SPASE documentation. Further analysis of the data model resulted in the addition of class relationships. Finally attributes and relationships that support broad-scope interoperability were added from research associated with the Object-Oriented Data Technology task. To validate the ontology and produce a knowledge base, example data products were ingested. The capture of the data model as an ontology results in a more formal specification of the model. The Protege software is also a powerful management tool and supports plug-ins that produce several graphical notations as output. The stated purpose of the semantic web is to support machine understanding of web-based information. Protege provides an export capability to RDF/XML and RDFS/XML for this purpose. Several research efforts use RDF/XML knowledge bases to provide semantic search. MIT's Simile/Longwell project provides both facet- and text-based search using a suite of metadata browsers and the text-based search engine Lucene. Using the Protege generated RDF knowledge-base a semantic search application was easily built and deployed to run as a web application. Configuration files specify the object attributes and values to be designated as facets (i.e. search) constraints. Semantic web technologies provide

  15. Neural mechanisms of uncon-scious visual motion priming

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The neural correlates of the motion priming were examined in normal young subjects using event-related brain potentials (ERPs) and functional magnetic resonance imaging (fMRI). Visual motion perception can be uncon-sciously biased in favor of a particular direction by a pre-ceding motion in that direction. Motion priming first in-volved an enhancement of ERP amplitude about 100 ms fol-lowing the onset of motion. The amplitudes of ERP compo-nents after 350 ms were also increased. The fMRI results suggest that the early-latency effect reflects modulation of neural responses in extrastriate cortex. Higher-level visual processing areas, including cortical regions MT/MST and the intraparietal cortices were also activated. The findings provide direct evidence that unconscious priming of motion perception is the result of interaction of direction-selective neural responses to motion stimuli. The results cannot be accounted for by refractoriness of neural responses, but in-stead support a theory of motion priming based on motion opponency, as proposed in computational models.

  16. Semantic Changes of Gerund

    Directory of Open Access Journals (Sweden)

    Zofija Babickienė

    2012-06-01

    Full Text Available In this article, semantic models of gerund in the Lithuanian language are being investigated. Their productivity and the reasons of their change in the Lithuanian language are identified. The tendency to use gerund semantic structure in noun constructions is typical not only in Greek or Latin languages but also in English, Russian, etc. Regular polysemy is regarded as semantic derivation, i. e. shifting from main meanings to derivative ones. The object of this investigation is the usage patterns of gerunds which bear both the meaning of a verb and a noun. The examples for the present study have been gathered from the language of different Lithuanian dialects as well as from the Dictionary of the Lithuanian language (different volumes, etc. The research results reveal that semantic changes of object and result are the most productive, whereas mood or time semantic model proved to be not so productive. The productivity of regular models depends on the fact that there are suffix derivatives which have the meaning of a result. The research shows that scientific style and language of different dialects are rich in the use of gerund.

  17. Can Medical Diagnosis Benefit from "Unconscious Thought"?

    Science.gov (United States)

    Woolley, Amanda; Kostopoulou, Olga; Delaney, Brendan C

    2016-05-01

    The unconscious thought theory argues that making complex decisions after a period of distraction can lead to better decision quality than deciding either immediately or after conscious deliberation. Two studies have tested this unconscious thought effect (UTE) in clinical diagnosis with conflicting results. The studies used different methodologies and had methodological weaknesses. We attempted to replicate the UTE in medical diagnosis by providing favorable conditions for the effect while maintaining ecological validity. Family physicians (N= 116) diagnosed 3 complex cases in 1 of 3 thinking modes: immediate, unconscious (UT), and conscious (CT). Cases were divided into short sentences, which were presented briefly and sequentially on computer. After each case presentation, the immediate response group gave a diagnosis, the UT group performed a 2-back distraction task for 3 min before giving a diagnosis, and the CT group could take as long as necessary before giving a diagnosis. We found no differences in diagnostic accuracy between groups (P= 0.95). The CT group took a median of 7 s to diagnose, which suggests that physicians were able to diagnose "online," as information was being presented. The lack of a difference between the immediate and UT groups suggests that the distraction had no additional effect on performance. To assess the decisiveness of the evidence of this null result, we computed a Bayes factor (BF01) for the 2 comparisons of interest. We found a BF01of 5.76 for the UT versus immediate comparison and of 3.61 for the UT versus CT comparison. Both BFs provide substantial evidence in favor of the null hypothesis: physicians' diagnoses made after distraction are no better than diagnoses made either immediately or after self-paced deliberation.

  18. The Unconscious, Self-consciousness, and Responsibility

    Directory of Open Access Journals (Sweden)

    Massimo Marraffa

    2014-08-01

    Full Text Available In this article I argue that (1 introspective self-consciousness is an activity of narrative re-appropriation of the products of the cognitive unconscious; and (2 this activity has an essentially self-defensive character, being ruled by the primary and universal need to construct and protect a subjective identity whose solidity is the ground of the intrapsychic and interpersonal balances of human organism. Finally, in this framework firmly based on psychological sciences, I reconsider John Locke’s link between responsibility and self-consciousness.

  19. User prototypes as partly unconscious communication

    DEFF Research Database (Denmark)

    Glasemann, Marie; Kanstrup, Anne Marie

    2010-01-01

    In this paper, we introduce user prototypes as a technique that supports users’ articulation of emotions relevant for design: dreams, fears, motivations – their feelings and aspirations. Following Bateson’s writings about communication through art, we consider user prototypes as “partly unconscious...... emotional themes related to youth identity, the burden of being young with a chronic illness, and the need to be connected and feel safe through design of prototypes. The new conceptual space that arises from user prototypes shows potential for addressing emotions when designing for health and for further...... development of the technique user prototypes....

  20. User prototypes as partly unconscious communication

    DEFF Research Database (Denmark)

    Glasemann, Marie; Kanstrup, Anne Marie

    2010-01-01

    In this paper, we introduce user prototypes as a technique that supports users’ articulation of emotions relevant for design: dreams, fears, motivations – their feelings and aspirations. Following Bateson’s writings about communication through art, we consider user prototypes as “partly unconscious...... emotional themes related to youth identity, the burden of being young with a chronic illness, and the need to be connected and feel safe through design of prototypes. The new conceptual space that arises from user prototypes shows potential for addressing emotions when designing for health and for further...... development of the technique user prototypes....

  1. Semantic Models of Host-Immigrant Relations in Norwegian Education Policies

    Science.gov (United States)

    Garthus-Niegel, Kristian; Oppedal, Brit; Vike, Halvard

    2016-01-01

    Education has continuously been regarded as a vital tool in Norwegian policymakers' immigrant integration agendas. This study analyzes semantic structures substantiating the policy language of historical Norwegian immigrant education policies from their inception in 1973 until today (2013). The analysis is framed by Kronenfeld's linguistic…

  2. Making Use of Semantic Concept Detection for Modelling Human Preferences in Visual Summarization

    NARCIS (Netherlands)

    Rudinac, S.; Worring, M.

    2014-01-01

    In this paper we investigate whether and how the human choice of images for summarizing a visual collection is influenced by the semantic concepts depicted in them. More specifically, by analysing a large collection of human-created visual summaries obtained through crowdsourcing, we aim at automati

  3. Semantic Web-Driven LMS Architecture towards a Holistic Learning Process Model Focused on Personalization

    Science.gov (United States)

    Kerkiri, Tania

    2010-01-01

    A comprehensive presentation is here made on the modular architecture of an e-learning platform with a distinctive emphasis on content personalization, combining advantages from semantic web technology, collaborative filtering and recommendation systems. Modules of this architecture handle information about both the domain-specific didactic…

  4. A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data.

    Science.gov (United States)

    Tao, Cui; Jiang, Guoqian; Oniki, Thomas A; Freimuth, Robert R; Zhu, Qian; Sharma, Deepak; Pathak, Jyotishman; Huff, Stanley M; Chute, Christopher G

    2013-05-01

    The clinical element model (CEM) is an information model designed for representing clinical information in electronic health records (EHR) systems across organizations. The current representation of CEMs does not support formal semantic definitions and therefore it is not possible to perform reasoning and consistency checking on derived models. This paper introduces our efforts to represent the CEM specification using the Web Ontology Language (OWL). The CEM-OWL representation connects the CEM content with the Semantic Web environment, which provides authoring, reasoning, and querying tools. This work may also facilitate the harmonization of the CEMs with domain knowledge represented in terminology models as well as other clinical information models such as the openEHR archetype model. We have created the CEM-OWL meta ontology based on the CEM specification. A convertor has been implemented in Java to automatically translate detailed CEMs from XML to OWL. A panel evaluation has been conducted, and the results show that the OWL modeling can faithfully represent the CEM specification and represent patient data.

  5. On unconscious morality: the effects of unconscious thinking on moral decision making

    NARCIS (Netherlands)

    Ham, J.; Van den Bos, K.

    2010-01-01

    In this article, we argue that when making moral decisions, unconscious thought can lead to more utilitarian moral decisions (approving of harmful actions that maximize good consequences), compared to conscious thought and immediate decision making. Therefore, we presented participants with a

  6. On unconscious morality: the effects of unconscious thinking on moral decision making

    NARCIS (Netherlands)

    Ham, J.; Van den Bos, K.

    2010-01-01

    In this article, we argue that when making moral decisions, unconscious thought can lead to more utilitarian moral decisions (approving of harmful actions that maximize good consequences), compared to conscious thought and immediate decision making. Therefore, we presented participants with a comple

  7. Personal Insight: Reframing the Unconscious through Metaphor-Based Adventure Therapy.

    Science.gov (United States)

    Stouffer, Russell

    1999-01-01

    Integrates several techniques of psychodynamic therapy with the conceptual and metaphorical world of adventure therapy. Discusses a model of the metaphorical connection between self and experience, in which the client creates a self-metaphor to illuminate his or her experience during an adventure activity and thereby unlocks the unconscious and…

  8. Human machine interaction: The special role for human unconscious emotional information processing

    NARCIS (Netherlands)

    Noort, M.W.M.L. van den; Hugdahl, K.; Bosch, M.P.C.

    2005-01-01

    The nature of (un)conscious human emotional information processing remains a great mystery. On the one hand, classical models view human conscious emotional information processing as computation among the brain's neurons but fail to address its enigmatic features. On the other hand, quantum processe

  9. The Role of Unconscious Information Processing in the Acquisition and Learning of Instructional Messages

    Science.gov (United States)

    Kuldas, Seffetullah; Bakar, Zainudin Abu; Ismail, Hairul Nizam

    2012-01-01

    This review investigates how the unconscious information processing can create satisfactory learning outcomes, and can be used to ameliorate the challenges of teaching students to regulate their learning processes. The search for the ideal model of human information processing as regards achievement of teaching and learning objectives is a…

  10. Human machine interaction: The special role for human unconscious emotional information processing

    NARCIS (Netherlands)

    Noort, M.W.M.L. van den; Hugdahl, K.; Bosch, M.P.C.

    2005-01-01

    The nature of (un)conscious human emotional information processing remains a great mystery. On the one hand, classical models view human conscious emotional information processing as computation among the brain's neurons but fail to address its enigmatic features. On the other hand, quantum processe

  11. A Modular Rewriting Semantics for CML

    DEFF Research Database (Denmark)

    Chalub, Fabricio; Braga, Christiano de Oliveira

    2004-01-01

    This paper presents a modular rewriting semantics (MRS) specification for Reppy's Concurrent ML (CML), based on Peter Mosses' modular structural operational semantics specification for CML. A modular rewriting semantics specification for a programming language is a rewrite theory in rewriting log...... of rewriting logic, and to verify CML programs using Maude's built-in LTL model checker. It is assumed that the reader is familiar with basic concepts of structural operational semantics and algebraic specifications....

  12. Model Transformation for Model Driven Development of Semantic Web Enabled Multi-Agent Systems

    NARCIS (Netherlands)

    Kardas, G.; Göknil, Arda; Dikenelli, O.; Topaloglu, N.Y.; Weyns, D.; Holvoet, T.

    2007-01-01

    Model Driven Development (MDD) provides an infrastructure that simplifies Multi-agent System (MAS) development by increasing the abstraction level. In addition to defining models, transformation process for those models is also crucial in MDD. On the other hand, MAS modeling should also take care of

  13. Model Transformation for Model Driven Development of Semantic Web Enabled Multi-Agent Systems

    NARCIS (Netherlands)

    Kardas, G.; Göknil, A.; Dikenelli, O.; Topaloglu, N.Y.

    2007-01-01

    Model Driven Development (MDD) provides an infrastructure that simplifies Multi-agent System (MAS) development by increasing the abstraction level. In addition to defining models, transformation process for those models is also crucial in MDD. On the other hand, MAS modeling should also take care of

  14. Ombud’s Corner: defeating unconscious bias

    CERN Multimedia

    Sudeshna Datta-Cockerill

    2016-01-01

    Do you have a tendency to switch off at meetings every time a particular colleague starts to speak? Is it obvious to you that your colleagues will never accept a peer as a project leader? And doesn’t that candidate from your own alma mater clearly have a definite edge over the others?   How do we come to these conclusions and what can we do to ensure that our decisions are based on objective criteria alone? Can we always be sure that we are not influenced by pre-conceived notions or prejudices that may unconsciously bias our thinking? Unconscious bias is a part of everyday life – it refers to the insidious influences that our backgrounds, cultural environments or personal experiences exert on the way in which we judge or assess people or situations. In the workplace, it has a negative impact on our goals and interactions when it causes us to make decisions based on generalisations or mental associations that we are not even aware of, and that have little or no bearing on the o...

  15. Decreased pain perception by unconscious emotional pictures

    Directory of Open Access Journals (Sweden)

    Irene Peláez

    2016-10-01

    Full Text Available Pain perception arises from a complex interaction between a nociceptive stimulus and different emotional and cognitive factors, which appear to be mediated by both automatic and controlled systems. Previous evidence has shown that whereas conscious processing of unpleasant stimuli enhances pain perception, emotional influences on pain under unaware conditions are much less known. The aim of the present study was to investigate the modulation of pain perception by unconscious emotional pictures through an emotional masking paradigm. Two kinds of both somatosensory (painful and non-painful and emotional stimulation (negative and neutral pictures were employed. Fifty pain-free participants were asked to rate the perception of pain they were feeling in response to laser-induced somatosensory stimuli as faster as they can. Data from pain intensity and reaction times were measured. Statistical analyses revealed a significant effect for the interaction between pain and emotional stimulation, but surprisingly this relationship was opposite to expected. In particular, lower pain intensity scores and longer reaction times were found in response to negative images being strengthened this effect for painful stimulation. Present findings suggest a clear pain perception modulation by unconscious emotional contexts. Attentional capture mechanisms triggered by unaware negative stimulation could explain this phenomenon leading to a withdrawal of processing resources from pain.

  16. Knowledge of Meaning, Conscious and Unconscious

    Directory of Open Access Journals (Sweden)

    Steven Gross

    2010-11-01

    Full Text Available This paper motivates two bases for ascribing propositional semantic knowledge (or something knowledge-like: first, because it's necessary to rationalize linguistic action; and, second, because it's part of an empirical theory that would explain various aspects of linguistic behavior. The semantic knowledge ascribed on these two bases seems to differ in content, epistemic status, and cognitive role. This raises the question: how are they related, if at all? The bulk of the paper addresses this question. It distinguishes a variety of answers and their varying philosophical and empirical commitments.

  17. Web-based Visualization and Query of semantically segmented multiresolution 3D Models in the Field of Cultural Heritage

    Science.gov (United States)

    Auer, M.; Agugiaro, G.; Billen, N.; Loos, L.; Zipf, A.

    2014-05-01

    Many important Cultural Heritage sites have been studied over long periods of time by different means of technical equipment, methods and intentions by different researchers. This has led to huge amounts of heterogeneous "traditional" datasets and formats. The rising popularity of 3D models in the field of Cultural Heritage in recent years has brought additional data formats and makes it even more necessary to find solutions to manage, publish and study these data in an integrated way. The MayaArch3D project aims to realize such an integrative approach by establishing a web-based research platform bringing spatial and non-spatial databases together and providing visualization and analysis tools. Especially the 3D components of the platform use hierarchical segmentation concepts to structure the data and to perform queries on semantic entities. This paper presents a database schema to organize not only segmented models but also different Levels-of-Details and other representations of the same entity. It is further implemented in a spatial database which allows the storing of georeferenced 3D data. This enables organization and queries by semantic, geometric and spatial properties. As service for the delivery of the segmented models a standardization candidate of the OpenGeospatialConsortium (OGC), the Web3DService (W3DS) has been extended to cope with the new database schema and deliver a web friendly format for WebGL rendering. Finally a generic user interface is presented which uses the segments as navigation metaphor to browse and query the semantic segmentation levels and retrieve information from an external database of the German Archaeological Institute (DAI).

  18. The role of attention in subliminal semantic processing: A mouse tracking study.

    Science.gov (United States)

    Xiao, Kunchen; Yamauchi, Takashi

    2017-01-01

    Recent evidence suggests that top-down attention facilitates unconscious semantic processing. To clarify the role of attention in unconscious semantic processing, we traced trajectories of the computer mouse in a semantic priming task and scrutinized the extent to which top-down attention enhances unconscious semantic processing in four different stimulus-onset asynchrony (SOA: 50, 200, 500, or 1000ms) conditions. Participants judged whether a target digit (e.g., "6") was larger or smaller than five, preceded by a masked priming digit (e.g., "9"). The pre-prime duration changed randomly from trial to trial to disrupt participants' top-down attention in an uncued condition (in a cued condition, a green square cue was presented to facilitate participants' top-down attention). The results show that top-down attention modifies the time course of subliminal semantic processing, and the temporal attention window lasts more than 1000ms; attention facilitated by the cue may amplify semantic priming to some extent, yet the amplification effect of attention is relatively minor.

  19. Causal premise semantics.

    Science.gov (United States)

    Kaufmann, Stefan

    2013-08-01

    The rise of causality and the attendant graph-theoretic modeling tools in the study of counterfactual reasoning has had resounding effects in many areas of cognitive science, but it has thus far not permeated the mainstream in linguistic theory to a comparable degree. In this study I show that a version of the predominant framework for the formal semantic analysis of conditionals, Kratzer-style premise semantics, allows for a straightforward implementation of the crucial ideas and insights of Pearl-style causal networks. I spell out the details of such an implementation, focusing especially on the notions of intervention on a network and backtracking interpretations of counterfactuals.

  20. Ontology modeling of semantics in social media:Public issue knowledge base (PIKB)of the Weibo

    Institute of Scientific and Technical Information of China (English)

    Yan; ZHOU; Wei; LI; Xingfu; YUAN; Pengyi; ZHANG

    2014-01-01

    Purpose:This study aims to construct an ontology to model the semantics of social media streams,in particular,trending topics and public issues.Design/methodology/approach:Our knowledge base included 10 public events and topics from Weibo respectively,which were collected through keyword search and a crawler program.We used a semi-automatic approach to model and annotate the semantics in social media,and adapted the multi-layered ontology to refine the design based on previous researches,then we used named entity recognition(NER) to extract entities to instantiate the ontology.Relationships were extracted based on co-occurrence measures.Finally,we manually conducted post-filtering evaluation and edited the extracted entities and relationships.Findings:An initial assessment demonstrated that our multi-layered ontology supports various types of queries and analyses in the public issue knowledge base(PIKB),which can serve as an effective tool to query,understand and trace public issues.Research limitations:Manual involvement cannot meet the requirements for challenges of sustainable developments.Since the relationships extracted are fully based on the co-occurrence of entities,rich semantic relationships,such as how much the key players have been involved,could not be fully reflected.Besides,the user evaluation is necessary for further ontology assessment.Practical implications:The PIKB can be used by regular Web users and policy makers to query,understand,and make sense of public events and topics.The methodology and reusable ontology model are useful for institutions that are interested in making use of the social media data.Originality/value:In this study,a multi-layered ontology is applied to model the evolving semantics of public events and trending topics in social media,and the semi-automatic approach could make it possible to extract entities and relationships from large amount of unstructured short texts of user generated content(UGC) from social media.

  1. Integrating Dynamic Data and Sensors with Semantic 3D City Models in the Context of Smart Cities

    Science.gov (United States)

    Chaturvedi, K.; Kolbe, T. H.

    2016-10-01

    Smart cities provide effective integration of human, physical and digital systems operating in the built environment. The advancements in city and landscape models, sensor web technologies, and simulation methods play a significant role in city analyses and improving quality of life of citizens and governance of cities. Semantic 3D city models can provide substantial benefits and can become a central information backbone for smart city infrastructures. However, current generation semantic 3D city models are static in nature and do not support dynamic properties and sensor observations. In this paper, we propose a new concept called Dynamizer allowing to represent highly dynamic data and providing a method for injecting dynamic variations of city object properties into the static representation. The approach also provides direct capability to model complex patterns based on statistics and general rules and also, real-time sensor observations. The concept is implemented as an Application Domain Extension for the CityGML standard. However, it could also be applied to other GML-based application schemas including the European INSPIRE data themes and national standards for topography and cadasters like the British Ordnance Survey Mastermap or the German cadaster standard ALKIS.

  2. Generative Semantics

    Science.gov (United States)

    Bagha, Karim Nazari

    2011-01-01

    Generative semantics is (or perhaps was) a research program within linguistics, initiated by the work of George Lakoff, John R. Ross, Paul Postal and later McCawley. The approach developed out of transformational generative grammar in the mid 1960s, but stood largely in opposition to work by Noam Chomsky and his students. The nature and genesis of…

  3. IOT Semantic Community Evolution Model Based on Game Theory%基于博弈论的物联网语义社区演化模型

    Institute of Scientific and Technical Information of China (English)

    王杨; 张林静; 黄亚坤; 赵传信; 陈付龙

    2012-01-01

    In order to discover the evolution principle of the semantic community in the Internet of things (IOT) ,a new semantic community evolution model based on game theory is proposed. The concept of the Internet of Thing Semantic Community (ITSC) and its characteristics are presented. Then a dynamic game theory based ITSC evolution model is proposed. The Semantic Community Preprocessing Algorithm (SCPA),the Game Node Strategy Selection Algorithm (GNSA) and the Game Theory based semantic community Evolution Algorithm (GTEA) are given. In addition, we also perform the performance analysis about these algorithms. The experiment results show that the proposed model can reflect the basic principle of the semantic community in the IOT. Meanwhile,the simulation results also indicate that the proposed algorithm is effective and feasible when the actual network data set is input.%针对物联网环境下的语义社区演化问题,提出了一种基于博弈论的语义社区动态演化模型.首先给出物联网语义社区(Internet of Things Semantic Community,ITSC)的定义和特征;然后提出了一种基于动态博弈论的物联网语义社区演化模型,给出了物联网语义社区预处理算法(SCPA)、博弈节点选择算法(GNSA)、基于博弈的语义社区演化算法(GTEA)及算法的性能分析.通过实际网络社区数据的仿真实验表明,演化模型能够真实地反映物联网语义社区的演化规律.

  4. Is It Better to Think Unconsciously or to Trust Your First Impression? A Reassessment of Unconscious Thought Theory

    NARCIS (Netherlands)

    Waroquier, Laurent; Marchiori, David; Klein, Olivier; Cleeremans, Axel

    2010-01-01

    According to unconscious thought theory, complex decisions are best made after a period of distraction assumed to elicit ``unconscious thought.'' Here, the authors suggest instead that the superiority of decisions made after distraction results from the fact that conscious deliberation can deteriora

  5. A Framework of Semantic Information Representation in Distributed Environments

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    An information representation framework is designed to overcome the problem of semantic heterogeneity in distributed environments in this paper. Emphasis is placed on establishing an XML-oriented semantic data model and the mapping between XML data based on a global ontology semantic view. The framework is implemented in Web Service, which enhances information process efficiency, accuracy and the semantic interoperability as well.

  6. Proof-Theoretic Semantics for a Natural Language Fragment

    Science.gov (United States)

    Francez, Nissim; Dyckhoff, Roy

    We propose a Proof - Theoretic Semantics (PTS) for a (positive) fragment E+0 of Natural Language (NL) (English in this case). The semantics is intended [7] to be incorporated into actual grammars, within the framework of Type - Logical Grammar (TLG) [12]. Thereby, this semantics constitutes an alternative to the traditional model - theoretic semantics (MTS), originating in Montague's seminal work [11], used in TLG.

  7. Note sull'analisi delle preposizioni italiane in un modello semantico generativo (Notes on the Analysis of Italian Prepositions Within a Generative Semantic Model). Acts of the Colloquium of the Swiss Interuniversity Commission for Applied Linguistics. CILA Bulletin, No. 25.

    Science.gov (United States)

    Berretta, Monica

    A generative semantic model for a componential analysis of prepositions in Italian sentences is described and critiqued. According to the model, a sentence is analyzed in terms of a "predicate" plus one or more "arguments." The model emphasizes the semantic role of prepositions and regards this role as the basis for a syntactic analysis of…

  8. Note sull'analisi delle preposizioni italiane in un modello semantico generativo (Notes on the Analysis of Italian Prepositions Within a Generative Semantic Model). Acts of the Colloquium of the Swiss Interuniversity Commission for Applied Linguistics. CILA Bulletin, No. 25.

    Science.gov (United States)

    Berretta, Monica

    A generative semantic model for a componential analysis of prepositions in Italian sentences is described and critiqued. According to the model, a sentence is analyzed in terms of a "predicate" plus one or more "arguments." The model emphasizes the semantic role of prepositions and regards this role as the basis for a syntactic…

  9. Semantic understanding of Image content

    Directory of Open Access Journals (Sweden)

    D D Dhobale

    2011-05-01

    Full Text Available Large amounts of spatial data are becoming available today due to the rapid development of remote sensing techniques. Several retrieval systems are proposed to retrieve necessary, interested and effective information such as key- word based image retrieval and content based image retrieval. However, the results of these approaches are generally unsatisfactory, unpredictable and do not match human perception due to the well gap between visual features and semantic concepts. In this paper, we propose a new approach allowing semantic satellite image retrieval, describing the semantic image content and managing uncertain information. It is based on ontology model which represents spatial knowledge in order to provide semantic understanding of image content. Our retrieval system is based on two modules: ontological model merging and semantic strategic image retrieval. The first module allows developing ontological models which represent spatial knowledge of the satellite image, and managing uncertain information. The second module allows retrieving satellite images basing on their ontological model. In order to improve the quality of retrieval system and to facilitate the retrieval process, we propose two retrieval strategies which are the opportunist strategy and the hypothetic strategy. Our approach attempts to improve the quality of image retrieval, to reduce the semantic gap between visual features and semantic concepts and to provide an automatic solution for efficient satellite image retrieval.

  10. Cranial CT of the unconscious adult patient

    Energy Technology Data Exchange (ETDEWEB)

    Harden, S.P. [Department of Radiology, Southampton General Hospital, Southampton (United Kingdom); Dey, C. [Department of Radiology, Southampton General Hospital, Southampton (United Kingdom); Gawne-Cain, M.L. [Department of Radiology, Southampton General Hospital, Southampton (United Kingdom)]. E-mail: mary.gawne@suht.swest.nhs.uk

    2007-05-15

    Unconscious patients are frequently referred to radiology departments for computed tomography (CT) of the brain. The objectives of these examinations are to define the underlying cause of impaired consciousness and in some cases to determine the severity of associated brain injury. There is often little history available to guide the clinician or radiologist, particularly in patients referred from the casualty department. In this review, we present the typical CT appearances of adult patients presenting with loss of consciousness for CT examination. We focus on the most common abnormalities that are identified in everyday radiological practice, emphasize important diagnostic signs that may enable a confident diagnosis to be made and discuss when further imaging may be warranted.

  11. Reference List About Implicit and Unconscious Bias

    DEFF Research Database (Denmark)

    Munar, Ana Maria; Villeseche, Florence; Weidemann, Cecilie Dam

    The compilation of this reference list is one of the initiatives of the action plan developed by the Council for Diversity and Inclusion at Copenhagen Business School (CBS). This reference list is the first in a series of efforts initiated by this Council to develop an academic resource pool...... and knowledge base on diversity- and inclusion-related topics. An implicit and/or unconscious bias is a bias that we are unaware of and is therefore expressed unwillingly and unknowingly. As recent studies on implicit bias indicate “we now know that the operation of prejudice and stereotyping in social judgment...... and behavior does not require personal animus, hostility, or even awareness. In fact, prejudice is often ‘unconscious’ or ‘implicit’ – that is, unwitting, unintentional, and uncontrollable even among the most well-intentioned people. […] Prejudice also lives and thrives in the banal workings of normal...

  12. Monitoring source in an unconscious plagiarism paradigm.

    Science.gov (United States)

    Landau, J D; Marsh, R L

    1997-06-01

    Current laboratory paradigms used to assess unconscious plagiarism consist of three tasks. First, participants generate solutions to a puzzle task with a partner (initial generation task); second, they recall their individual contribution (recall-own task); and third, they attempt to create new solutions that were not offered previously (generate-new task). An analysis of these tasks indicated that they differ in terms of the source monitoring they require. The two generative tasks require less differentiated information (e.g., familiarity) and relatively lax decision criteria. The recall-own task, however, demands more differentiated information and more extended decision criteria. In two experiments, factors known to influence source monitoring were manipulated. Consistent with the analysis, no effects were associated with the generative tasks. Recall-own plagiarisms increased when self- and other-generated solutions were difficult to distinguish (Experiment 1) and decreased when the two sources were easier to distinguish (Experiment 2).

  13. The markup is the model: reasoning about systems biology models in the Semantic Web era.

    Science.gov (United States)

    Kell, Douglas B; Mendes, Pedro

    2008-06-07

    Metabolic control analysis, co-invented by Reinhart Heinrich, is a formalism for the analysis of biochemical networks, and is a highly important intellectual forerunner of modern systems biology. Exchanging ideas and exchanging models are part of the international activities of science and scientists, and the Systems Biology Markup Language (SBML) allows one to perform the latter with great facility. Encoding such models in SBML allows their distributed analysis using loosely coupled workflows, and with the advent of the Internet the various software modules that one might use to analyze biochemical models can reside on entirely different computers and even on different continents. Optimization is at the core of many scientific and biotechnological activities, and Reinhart made many major contributions in this area, stimulating our own activities in the use of the methods of evolutionary computing for optimization.

  14. caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability

    Science.gov (United States)

    Komatsoulis, George A.; Warzel, Denise B.; Hartel, Frank W.; Shanbhag, Krishnakant; Chilukuri, Ram; Fragoso, Gilberto; de Coronado, Sherri; Reeves, Dianne M.; Hadfield, Jillaine B.; Ludet, Christophe; Covitz, Peter A.

    2008-01-01

    One of the requirements for a federated information system is interoperability, the ability of one computer system to access and use the resources of another system. This feature is particularly important in biomedical research systems, which need to coordinate a variety of disparate types of data. In order to meet this need, the National Cancer Institute Center for Bioinformatics (NCICB) has created the cancer Common Ontologic Representation Environment (caCORE), an interoperability infrastructure based on Model Driven Architecture. The caCORE infrastructure provides a mechanism to create interoperable biomedical information systems. Systems built using the caCORE paradigm address both aspects of interoperability: the ability to access data (syntactic interoperability) and understand the data once retrieved (semantic interoperability). This infrastructure consists of an integrated set of three major components: a controlled terminology service (Enterprise Vocabulary Services), a standards-based metadata repository (the cancer Data Standards Repository) and an information system with an Application Programming Interface (API) based on Domain Model Driven Architecture. This infrastructure is being leveraged to create a Semantic Service Oriented Architecture (SSOA) for cancer research by the National Cancer Institute’s cancer Biomedical Informatics Grid (caBIG™). PMID:17512259

  15. Neural substrates of semantic memory.

    Science.gov (United States)

    Hart, John; Anand, Raksha; Zoccoli, Sandra; Maguire, Mandy; Gamino, Jacque; Tillman, Gail; King, Richard; Kraut, Michael A

    2007-09-01

    Semantic memory is described as the storage of knowledge, concepts, and information that is common and relatively consistent across individuals (e.g., memory of what is a cup). These memories are stored in multiple sensorimotor modalities and cognitive systems throughout the brain (e.g., how a cup is held and manipulated, the texture of a cup's surface, its shape, its function, that is related to beverages such as coffee, and so on). Our ability to engage in purposeful interactions with our environment is dependent on the ability to understand the meaning and significance of the objects and actions around us that are stored in semantic memory. Theories of the neural basis of the semantic memory of objects have produced sophisticated models that have incorporated to varying degrees the results of cognitive and neural investigations. The models are grouped into those that are (1) cognitive models, where the neural data are used to reveal dissociations in semantic memory after a brain lesion occurs; (2) models that incorporate both cognitive and neuroanatomical information; and (3) models that use cognitive, neuroanatomic, and neurophysiological data. This review highlights the advances and issues that have emerged from these models and points to future directions that provide opportunities to extend these models. The models of object memory generally describe how category and/or feature representations encode for object memory, and the semantic operations engaged in object processing. The incorporation of data derived from multiple modalities of investigation can lead to detailed neural specifications of semantic memory organization. The addition of neurophysiological data can potentially provide further elaboration of models to include semantic neural mechanisms. Future directions should incorporate available and newly developed techniques to better inform the neural underpinning of semantic memory models.

  16. Have we vindicated the motivational unconscious yet? A conceptual review

    Directory of Open Access Journals (Sweden)

    Alexandre eBillon

    2011-09-01

    Full Text Available Motivationally unconscious (M-unconscious states are unconsciousstates that can directly motivate a subject’s behavior and whose unconsciouscharacter typically results from a form of repression. The basicargument for M-unconscious states claims that they provide the bestexplanation to some seemingly non rational behaviors, like akrasia,impulsivity or apparent self-deception. This basic argument has beenchallenged on theoretical, empirical and conceptual grounds. Drawingon recent works on apparent self-deception and on the ‘cognitiveunconscious’ I assess those objections. I argue that (i even if thereis a good theoretical argument for its existence, (ii most empiricalvindications of the M-unconscious miss their target. (iii As for theconceptual objections, they compel us to modify the classical pictureof the M-unconscious. I conclude that M-unconscious states and processesmust be affective states and processes that the subject reallyfeels and experiences —and which are in this sense conscious— eventhough they are not, or not well, cognitively accessible to him. Dualprocess psychology and the literature on cold-hot empathy gaps partlysupport the existence of such M-unconscious states.

  17. GeoIRIS: Geospatial Information Retrieval and Indexing System-Content Mining, Semantics Modeling, and Complex Queries.

    Science.gov (United States)

    Shyu, Chi-Ren; Klaric, Matt; Scott, Grant J; Barb, Adrian S; Davis, Curt H; Palaniappan, Kannappan

    2007-04-01

    Searching for relevant knowledge across heterogeneous geospatial databases requires an extensive knowledge of the semantic meaning of images, a keen eye for visual patterns, and efficient strategies for collecting and analyzing data with minimal human intervention. In this paper, we present our recently developed content-based multimodal Geospatial Information Retrieval and Indexing System (GeoIRIS) which includes automatic feature extraction, visual content mining from large-scale image databases, and high-dimensional database indexing for fast retrieval. Using these underpinnings, we have developed techniques for complex queries that merge information from heterogeneous geospatial databases, retrievals of objects based on shape and visual characteristics, analysis of multiobject relationships for the retrieval of objects in specific spatial configurations, and semantic models to link low-level image features with high-level visual descriptors. GeoIRIS brings this diverse set of technologies together into a coherent system with an aim of allowing image analysts to more rapidly identify relevant imagery. GeoIRIS is able to answer analysts' questions in seconds, such as "given a query image, show me database satellite images that have similar objects and spatial relationship that are within a certain radius of a landmark."

  18. Semantics-driven modelling of user preferences for information retrieval in the biomedical domain.

    Science.gov (United States)

    Gladun, Anatoly; Rogushina, Julia; Valencia-García, Rafael; Béjar, Rodrigo Martínez

    2013-03-01

    A large amount of biomedical and genomic data are currently available on the Internet. However, data are distributed into heterogeneous biological information sources, with little or even no organization. Semantic technologies provide a consistent and reliable basis with which to confront the challenges involved in the organization, manipulation and visualization of data and knowledge. One of the knowledge representation techniques used in semantic processing is the ontology, which is commonly defined as a formal and explicit specification of a shared conceptualization of a domain of interest. The work presented here introduces a set of interoperable algorithms that can use domain and ontological information to improve information-retrieval processes. This work presents an ontology-based information-retrieval system for the biomedical domain. This system, with which some experiments have been carried out that are described in this paper, is based on the use of domain ontologies for the creation and normalization of lightweight ontologies that represent user preferences in a determined domain in order to improve information-retrieval processes.

  19. Learning Dependency-Based Compositional Semantics

    CERN Document Server

    Liang, Percy; Klein, Dan

    2011-01-01

    Suppose we want to build a system that answers a natural language question by representing its semantics as a logical form and computing the answer given a structured database of facts. The core part of such a system is the semantic parser that maps questions to logical forms. Semantic parsers are typically trained from examples of questions annotated with their target logical forms, but this type of annotation is expensive. Our goal is to learn a semantic parser from question-answer pairs instead, where the logical form is modeled as a latent variable. Motivated by this challenging learning problem, we develop a new semantic formalism, dependency-based compositional semantics (DCS), which has favorable linguistic, statistical, and computational properties. We define a log-linear distribution over DCS logical forms and estimate the parameters using a simple procedure that alternates between beam search and numerical optimization. On two standard semantic parsing benchmarks, our system outperforms all existing...

  20. Semantic network mapping of religious material: testing multi-agent computer models of social theories against real-world data.

    Science.gov (United States)

    Lane, Justin E

    2015-11-01

    Agent-based modeling allows researchers to investigate theories of complex social phenomena and subsequently use the model to generate new hypotheses that can then be compared to real-world data. However, computer modeling has been underutilized in regard to the understanding of religious systems, which often require very complex theories with multiple interacting variables (Braxton et al. in Method Theory Study Relig 24(3):267-290, 2012. doi: 10.1163/157006812X635709 ; Lane in J Cogn Sci Relig 1(2):161-180, 2013). This paper presents an example of how computer modeling can be used to explore, test, and further understand religious systems, specifically looking at one prominent theory of religious ritual. The process is continuous: theory building, hypothesis generation, testing against real-world data, and improving the model. In this example, the output of an agent-based model of religious behavior is compared against real-world religious sermons and texts using semantic network analysis. It finds that most religious materials exhibit unique scale-free small-world properties and that a concept's centrality in a religious schema best predicts its frequency of presentation. These results reveal that there adjustments need to be made to existing models of religious ritual systems and provide parameters for future models. The paper ends with a discussion of implications for a new multi-agent model of doctrinal ritual behaviors as well as propositions for further interdisciplinary research concerning the multi-agent modeling of religious ritual behaviors.

  1. Behavioral evidence for a differential modulation of semantic processing and lexical production by aging: a full linear mixed-effects modeling approach.

    Science.gov (United States)

    Boudiaf, Naïla; Laboissière, Rafael; Cousin, Émilie; Fournet, Nathalie; Krainik, Alexandre; Baciu, Monica

    2016-11-24

    The effect of normal aging on lexical production and semantic processing was evaluated in 72 healthy participants. Four tasks were used, picture naming (PN), picture categorization (PC), numerical judgment (NJ), and color judgment (CJ). The dependence of reaction time (RT) and correct responses with age was accounted by mixed-effects models. Participants underwent neuropsychological testing for verbal, executive, and memory functions. The RTs increase significantly with age for all tasks. After parceling out the non-specific cognitive decline, as reflected by the NJ task, the RT for the PN task decreases with age. Behavioral data were interpreted in relation with neuropsychological scores. Our results suggest that (a) naming becomes more automatic and semantic processing slightly more difficult with age, and (b) a non-specific general slowdown of cognitive processing occurs with age. Lexical production remained unaltered, based on compensatory automatic processes. This study also suggests a possible slowdown of semantic processing, even in normal aging.

  2. New findings on unconscious versus conscious thought in decision making

    Directory of Open Access Journals (Sweden)

    Felix Acker

    2008-04-01

    Full Text Available Ninety-eight Australian students participated in a functional replication of a study published by Dijksterhuis et al. (2006. The results indicated that unconscious thought does not necessarily lead to better normative decision making performance than conscious thought, which is contrary to the results found in Dijksterhuis et al. Since other studies showed a positive, though statistically not significant, effect for unconscious thought, a meta-analysis comprising a total of 17 experiments was conducted. It suggests that there is little evidence for an advantage to normative decision making using unconscious thought. However, a discussion of potential moderators shows that further study would help to identify situations in which unconscious thought is truly helpful and those in which it is not.

  3. Unconscious Influences on Career Choice: Entrepreneur vs. Manager.

    Science.gov (United States)

    Malach-Pines, Ayala

    2003-01-01

    Explores unconscious influences on career choice using a psychoanalytic-existential framework. Case studies illustrate how internalized images of their fathers led two men to management and entrepreneurial careers and influenced later feelings of burnout. (Contains 72 references.) (SK)

  4. Airway management in unconscious non-trauma patients

    DEFF Research Database (Denmark)

    Nielsen, Klaus; Hansen, Christian Muff; Rasmussen, Lars Simon

    2012-01-01

    , however, there are no such firm recommendations regarding airway management and the GCS score may be less useful. The aim of this study was to describe the authors' experience with airway management in unconscious non-trauma patients in the prehospital setting with a physician-manned Mobile Emergency Care......BackgroundTracheal intubation is recommended in unconscious trauma patients to protect the airway from pulmonary aspiration of gastric contents and also to ensure ventilation and oxygenation. Unconsciousness is often defined as a Glasgow Coma Scale (GCS) score below 9. In non-trauma patients......-trauma patients registered in the database during 2006 were included. The ambulance patient charts and medical records were scrutinised to assess outcome and the need for tracheal intubation during the first 24 h after admittance into hospital.ResultsA total of 557 unconscious non-trauma patients were examined...

  5. Extracting Local Schema from Semistructured Data Based on Graph-Oriented Semantic Model

    Institute of Scientific and Technical Information of China (English)

    WANG Tengjiao; TANG Shiwei; YANG Dongqing; LIU Yunfeng; LIN Bin

    2001-01-01

    Many modern applications (e-commerce, digital library, etc.) require integrated access to various information sources (from traditional RDBMS to semistructured Web repositories). Extracting schema from semistructured data is a prerequisite to integrate heterogeneous information sources. The traditional method that extracts global schema may require time (and space) to increase exponentially with the number of objects and edges in the source.A new method is presented in this paper, which is about extracting local schema. In this method, the algorithm controls the scale of extracting schema within the “schema diameter”by examining the semantic distance of the target set and using the Hash class and its path distance operation. This method is very efficient for restraining schema from expanding. The prototype validates the new approach.

  6. Dreaming: a gateway to the unconscious?

    Science.gov (United States)

    Paulson, Steve; Barrett, Deirdre; Bulkeley, Kelly; Naiman, Rubin

    2017-06-15

    Where do our dreams originate from, and what do they tell us? Is there a universal set of symbols that are common to all dreams, regardless of a person's ethnicity or culture? What does dreaming reveal about the unconscious? Why do some dreams remain etched in our memories, whereas others are almost instantly forgotten? Some scientists have adopted the position that dreams are little more than noise in the brain, without any substantive purpose or function. Yet, such a stance seemingly runs counter to the experience of many people who reflect upon and even analyze their dreams, often in search of clues to their daily lives or insights into their deeper selves. Similarly, in virtually all wisdom traditions, dreams are invoked as an important source of revelation or prophecy. Steve Paulson, executive producer and host of To the Best of Our Knowledge, moderated a discussion that included psychologist Deirdre Barrett, dream researcher Kelly Bulkeley, and psychologist and sleep/dream medicine specialist Rubin Naiman; they examined dreams from a variety of perspectives to answer these questions. © 2017 New York Academy of Sciences.

  7. Unconscious local motion alters global image speed.

    Directory of Open Access Journals (Sweden)

    Sieu K Khuu

    Full Text Available Accurate motion perception of self and object speed is crucial for successful interaction in the world. The context in which we make such speed judgments has a profound effect on their accuracy. Misperceptions of motion speed caused by the context can have drastic consequences in real world situations, but they also reveal much about the underlying mechanisms of motion perception. Here we show that motion signals suppressed from awareness can warp simultaneous conscious speed perception. In Experiment 1, we measured global speed discrimination thresholds using an annulus of 8 local Gabor elements. We show that physically removing local elements from the array attenuated global speed discrimination. However, removing awareness of the local elements only had a small effect on speed discrimination. That is, unconscious local motion elements contributed to global conscious speed perception. In Experiment 2 we measured the global speed of the moving Gabor patterns, when half the elements moved at different speeds. We show that global speed averaging occurred regardless of whether local elements were removed from awareness, such that the speed of invisible elements continued to be averaged together with the visible elements to determine the global speed. These data suggest that contextual motion signals outside of awareness can both boost and affect our experience of motion speed, and suggest that such pooling of motion signals occurs before the conscious extraction of the surround motion speed.

  8. Jigsaw Semantics

    Directory of Open Access Journals (Sweden)

    Paul J. E. Dekker

    2010-12-01

    Full Text Available In the last decade the enterprise of formal semantics has been under attack from several philosophical and linguistic perspectives, and it has certainly suffered from its own scattered state, which hosts quite a variety of paradigms which may seem to be incompatible. It will not do to try and answer the arguments of the critics, because the arguments are often well-taken. The negative conclusions, however, I believe are not. The only adequate reply seems to be a constructive one, which puts several pieces of formal semantics, in particular dynamic semantics, together again. In this paper I will try and sketch an overview of tasks, techniques, and results, which serves to at least suggest that it is possible to develop a coherent overall picture of undeniably important and structural phenomena in the interpretation of natural language. The idea is that the concept of meanings as truth conditions after all provides an excellent start for an integrated study of the meaning and use of natural language, and that an extended notion of goal directed pragmatics naturally complements this picture. None of the results reported here are really new, but we think it is important to re-collect them.ReferencesAsher, Nicholas & Lascarides, Alex. 1998. ‘Questions in Dialogue’. Linguistics and Philosophy 23: 237–309.http://dx.doi.org/10.1023/A:1005364332007Borg, Emma. 2007. ‘Minimalism versus contextualism in semantics’. In Gerhard Preyer & Georg Peter (eds. ‘Context-Sensitivity and Semantic Minimalism’, pp. 339–359. Oxford: Oxford University Press.Cappelen, Herman & Lepore, Ernest. 1997. ‘On an Alleged Connection between Indirect Quotation and Semantic Theory’. Mind and Language 12: pp. 278–296.Cappelen, Herman & Lepore, Ernie. 2005. Insensitive Semantics. Oxford: Blackwell.http://dx.doi.org/10.1002/9780470755792Dekker, Paul. 2002. ‘Meaning and Use of Indefinite Expressions’. Journal of Logic, Language and Information 11: pp. 141–194

  9. The nature of semantic priming by subliminal spatial words: Embodied or disembodied?

    Science.gov (United States)

    Bottini, Roberto; Bucur, Madalina; Crepaldi, Davide

    2016-09-01

    Theories of embodied semantics (ES) suggest that a critical part of understanding what a word means consists of simulating the sensorimotor experience related to the word's referent. Some proponents of ES have suggested that sensorimotor activations are mandatory and highly automatic during semantic processing. Evidence supporting this claim comes from masked priming studies showing that unconsciously perceived spatial words (e.g., up, down) can directly modulate action performance on the basis of their meaning. However, a closer look reveals that such priming effects can be explained also in terms of symbolic (disembodied) semantic priming or nonsemantic mechanisms. In this study we sought to understand whether sensorimotor processing takes place during language understanding outside awareness. We used spatial words as a test bed and across 6 experiments we teased apart the possibility that action priming could be explained by: (a) nonsemantic mechanisms, (b) symbolic semantic priming, or (c) embodied semantic priming. The critical finding is that when symbolic and nonsemantic mechanisms were prevented, allowing only for a genuinely embodied semantic priming, no effect was found. Conversely, facilitation emerged in the same experimental paradigm when embodied priming was prevented and symbolic priming was allowed. Despite extensive testing, we found no evidence that unconsciously perceived words can activate sensorimotor processes, although these words are processed up to the semantic level. We thus conclude that sensorimotor activations might need conscious access to emerge during language understanding. (PsycINFO Database Record

  10. Discovery and Selection of Semantic Web Services

    CERN Document Server

    Wang, Xia

    2013-01-01

    For advanced web search engines to be able not only to search for semantically related information dispersed over different web pages, but also for semantic services providing certain functionalities, discovering semantic services is the key issue. Addressing four problems of current solution, this book presents the following contributions. A novel service model independent of semantic service description models is proposed, which clearly defines all elements necessary for service discovery and selection. It takes service selection as its gist and improves efficiency. Corresponding selection algorithms and their implementation as components of the extended Semantically Enabled Service-oriented Architecture in the Web Service Modeling Environment are detailed. Many applications of semantic web services, e.g. discovery, composition and mediation, can benefit from a general approach for building application ontologies. With application ontologies thus built, services are discovered in the same way as with single...

  11. 面向三维重建的工艺语言理解及工艺语义模型构建%Semantics Understanding and Construction of Process Semantic Model for 3D Reconstruction

    Institute of Scientific and Technical Information of China (English)

    黄瑞; 张树生; 石云飞; 陶俊

    2011-01-01

    从动态工艺设计过程的视角考察工艺设计意图和二维工序图形的进化进程,以电子工艺卡片为输入对象,将自然语言理解技术和图形理解技术相融合,用具有工艺语义的工序语言指导二维工序图形的三维重建,实现对制造毛坯三维形态演变过程的智能推理,重建出基于特征的零件模型及中间工序模型.研究了工艺语义的定义与表示、机械加工领域概念知识库的构建及基于自动分词的工艺语义提取算法.%The process planning intention and the evolution of 2D-procedure drawing are inspected from the point of dynamic process design. The natural language understanding technology and t1he graphic understanding technology are combined by using the electronic process sheets as the input objects. The procedure language with process semantic is used to guide the 3D reconstruction frrm 2D procedure graph, and the intelligent inference of the 3D model evolution process of roughcast is realized and the pan model and the middle procedure model based on features are reconstructed. The definition and expression of process semantic, the construction of concept knowledge base in machining field and the extraction algorinthm of process semantic based on automatic segmentation are researched.

  12. Possible relation between psychosis and the unconscious: a review of “The Unconscious,” by Freud

    Science.gov (United States)

    de Oliveira Moreira, Jacqueline; Drawin, Carlos R.

    2015-01-01

    This review intends to present some elements of the Freudian thinking on psychosis, focusing on the relations between psychosis and the unconscious. The unconscious phenomena which episodically cross the neurotic individual are massively and continuously shown on psychosis. The psychotic individual appears to be constantly invaded by the other, like a strange person, which bursts inside of him/her and presents itself as a threat to the process of construction of this person’s identity. But what is the relation between the unconscious and psychosis in the Freudian text? It could be hypothesized that the psychotic individual may be invaded by a pulsating unconscious which demands a symbolic mediation. This reveals the importance of associating verbal construction to medication in cases of psychosis. PMID:26236270

  13. A Semantics for Distributed Execution of Statemate

    DEFF Research Database (Denmark)

    Fränzle, Martin; Niehaus, Jürgen; Metzner, Alexander

    2003-01-01

    , the changes made regarding the interaction of distributed model parts are similar to the interaction between the model and its environment in the original semantics, thus giving designers a familiar execution model. The semantics has been implemented in Grace, a framework for rapid prototyping code generation...

  14. BIOSMILE: A semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features

    Directory of Open Access Journals (Sweden)

    Tsai Richard

    2007-09-01

    Full Text Available Abstract Background Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE systems that incorporate natural language processing (NLP techniques have thus been developed for use in the biomedical field. A key IE task in this field is the extraction of biomedical relations, such as protein-protein and gene-disease interactions. However, most biomedical relation extraction systems usually ignore adverbial and prepositional phrases and words identifying location, manner, timing, and condition, which are essential for describing biomedical relations. Semantic role labeling (SRL is a natural language processing technique that identifies the semantic roles of these words or phrases in sentences and expresses them as predicate-argument structures. We construct a biomedical SRL system called BIOSMILE that uses a maximum entropy (ME machine-learning model to extract biomedical relations. BIOSMILE is trained on BioProp, our semi-automatic, annotated biomedical proposition bank. Currently, we are focusing on 30 biomedical verbs that are frequently used or considered important for describing molecular events. Results To evaluate the performance of BIOSMILE, we conducted two experiments to (1 compare the performance of SRL systems trained on newswire and biomedical corpora; and (2 examine the effects of using biomedical-specific features. The experimental results show that using BioProp improves the F-score of the SRL system by 21.45% over an SRL system that uses a newswire corpus. It is noteworthy that adding automatically generated template features improves the overall F-score by a further 0.52%. Specifically, ArgM-LOC, ArgM-MNR, and Arg2 achieve statistically significant performance improvements of 3.33%, 2.27%, and 1.44%, respectively. Conclusion We demonstrate the necessity of using a biomedical proposition bank for training

  15. The validity of Dawkins's selfish gene theory and the role of the unconscious in decision making.

    Science.gov (United States)

    Mattei, Tobias A

    2014-04-01

    Although the proposed Selfish Goal Theory constitutes a major theoretical tour de force for addressing the issue of inconsistencies in human actions and the role of motivational goals in behavior, as it is based on an unproven biological paradigm (Dawkins's selfish gene theory) and overemphasizes the role of unconscious processes in decision making, it provides a questionable model of the underlying psychological structure of human agency.

  16. Conscious and unconscious thought in risky choice: Testing the capacity principle and the appropriate weighting principle of Unconscious Thought Theory

    Directory of Open Access Journals (Sweden)

    Nathaniel James Siebert Ashby

    2011-10-01

    Full Text Available Daily we make decisions ranging from the mundane to the seemingly pivotal that shape our lives. Assuming rationality, all relevant information about one’s options should be thoroughly examined in order to make the best choice. However, some findings suggest that under specific circumstances thinking too much has disadvantageous effects on decision quality and that it might be best to let the unconscious do the busy work. In three studies we test the capacity assumption and the appropriate weighting principle of unconscious thought theory using a classic risky choice paradigm and including a ‘deliberation with information’ condition. Although we replicate an advantage for unconscious thought over ‘deliberation without information’, we find that ‘deliberation with information’ equals or outperforms unconscious thought in risky choices. These results speak against the generality of the assumption that unconscious thought has a higher capacity for information integration and show that this capacity assumption does not hold in all domains. We furthermore show that ‘deliberate thought with information’ leads to more differentiated knowledge compared to unconscious thought which speaks against the generality of the appropriate weighting assumption.

  17. An Operational Semantics for Trust Policies

    DEFF Research Database (Denmark)

    Krukow, Karl Kristian

    2005-01-01

    In the trust-structure model of trust management, principals specify their trusting relationships with other principals in terms of trust policies. In their paper on trust structures, Carbone et al. present a language for trust policies, and provide a suitable denotational semantics. The semantics...... ensures that for any collection of trust policies, there is always a unique global trust-state, compatible with all the policies, specifying everyone's degree of trust in everyone else. However, as the authors themselves point out, the language lacks an operational model: the global trust-state is a well...... of trust policies. The operational semantics is given in terms of a composition of I/O automata. We prove that this semantics is faithful to its corresponding denotational semantics, in the sense that any run of the I/O automaton ``converges to'' the denotational semantics of the policies. Furthermore...

  18. Preserved musical semantic memory in semantic dementia.

    Science.gov (United States)

    Weinstein, Jessica; Koenig, Phyllis; Gunawardena, Delani; McMillan, Corey; Bonner, Michael; Grossman, Murray

    2011-02-01

    To understand the scope of semantic impairment in semantic dementia. Case study. Academic medical center. A man with semantic dementia, as demonstrated by clinical, neuropsychological, and imaging studies. Music performance and magnetic resonance imaging results. Despite profoundly impaired semantic memory for words and objects due to left temporal lobe atrophy, this semiprofessional musician was creative and expressive in demonstrating preserved musical knowledge. Long-term representations of words and objects in semantic memory may be dissociated from meaningful knowledge in other domains, such as music.

  19. Inquisitive semantics and pragmatics

    NARCIS (Netherlands)

    Groenendijk, J.; Roelofsen, F.; Larrazabal, J.M.; Zubeldia, L.

    2009-01-01

    This paper starts with an informal introduction to inquisitive semantics. After that, we present a formal definition of the semantics, and introduce the basic semantic notions of inquisitiveness and informativeness, in terms of wich we define the semantic categories of questions, assertions, and hyb

  20. Geospatial semantic web

    CERN Document Server

    Zhang, Chuanrong; Li, Weidong

    2015-01-01

    This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such as WFS, WMS, RDF, OWL, and GeoSPARQL, and demonstrates how to use the Geospatial Semantic Web technologies to solve practical real-world problems such as spatial data interoperability.

  1. Semantic Vector Machines

    CERN Document Server

    Vincent, Etter

    2011-01-01

    We first present our work in machine translation, during which we used aligned sentences to train a neural network to embed n-grams of different languages into an $d$-dimensional space, such that n-grams that are the translation of each other are close with respect to some metric. Good n-grams to n-grams translation results were achieved, but full sentences translation is still problematic. We realized that learning semantics of sentences and documents was the key for solving a lot of natural language processing problems, and thus moved to the second part of our work: sentence compression. We introduce a flexible neural network architecture for learning embeddings of words and sentences that extract their semantics, propose an efficient implementation in the Torch framework and present embedding results comparable to the ones obtained with classical neural language models, while being more powerful.

  2. Knowledge Organization Systems for Semantic Digital Libraries

    OpenAIRE

    Babu, Preedip Balaji; Sarangi, Amit K; Madalli, Devika P.

    2012-01-01

    As the traditional knowledge organization systems (KOS) like classification, thesauri are paving way for ontologies, transtechnological data models and semantic networks of data exchange provide impetus for developing semantic digital libraries. This paper attempts to find the KOS in the early digital libraries, and how they can be integrated with the digital library architectures using emergent semantic technologies and data. Metadata remains as a core area at the heart o...

  3. Semantic Web

    Directory of Open Access Journals (Sweden)

    Anna Lamandini

    2011-06-01

    Full Text Available The semantic Web is a technology at the service of knowledge which is aimed at accessibility and the sharing of content; facilitating interoperability between different systems and as such is one of the nine key technological pillars of TIC (technologies for information and communication within the third theme, programme specific cooperation of the seventh programme framework for research and development (7°PQRS, 2007-2013. As a system it seeks to overcome overload or excess of irrelevant information in Internet, in order to facilitate specific or pertinent research. It is an extension of the existing Web in which the aim is for cooperation between and the computer and people (the dream of Sir Tim Berners –Lee where machines can give more support to people when integrating and elaborating data in order to obtain inferences and a global sharing of data. It is a technology that is able to favour the development of a “data web” in other words the creation of a space in both sets of interconnected and shared data (Linked Data which allows users to link different types of data coming from different sources. It is a technology that will have great effect on everyday life since it will permit the planning of “intelligent applications” in various sectors such as education and training, research, the business world, public information, tourism, health, and e-government. It is an innovative technology that activates a social transformation (socio-semantic Web on a world level since it redefines the cognitive universe of users and enables the sharing not only of information but of significance (collective and connected intelligence.

  4. Modeling Semantic Emotion Space Using a 3D Hypercube-Projection: An Innovative Analytical Approach for the Psychology of Emotions.

    Science.gov (United States)

    Trnka, Radek; Lačev, Alek; Balcar, Karel; Kuška, Martin; Tavel, Peter

    2016-01-01

    The widely accepted two-dimensional circumplex model of emotions posits that most instances of human emotional experience can be understood within the two general dimensions of valence and activation. Currently, this model is facing some criticism, because complex emotions in particular are hard to define within only these two general dimensions. The present theory-driven study introduces an innovative analytical approach working in a way other than the conventional, two-dimensional paradigm. The main goal was to map and project semantic emotion space in terms of mutual positions of various emotion prototypical categories. Participants (N = 187; 54.5% females) judged 16 discrete emotions in terms of valence, intensity, controllability and utility. The results revealed that these four dimensional input measures were uncorrelated. This implies that valence, intensity, controllability and utility represented clearly different qualities of discrete emotions in the judgments of the participants. Based on this data, we constructed a 3D hypercube-projection and compared it with various two-dimensional projections. This contrasting enabled us to detect several sources of bias when working with the traditional, two-dimensional analytical approach. Contrasting two-dimensional and three-dimensional projections revealed that the 2D models provided biased insights about how emotions are conceptually related to one another along multiple dimensions. The results of the present study point out the reductionist nature of the two-dimensional paradigm in the psychological theory of emotions and challenge the widely accepted circumplex model.

  5. Learning the Semantics of Structured Data Sources

    Science.gov (United States)

    Taheriyan, Mohsen

    2015-01-01

    Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data, however, they rarely provide a semantic model to describe their contents. Semantic models of data sources capture the intended meaning of data sources by mapping them to the concepts and relationships defined by a…

  6. Relating Weight Constraint and Aggregate Programs: Semantics and Representation

    CERN Document Server

    Liu, Guohua

    2011-01-01

    Weight constraint and aggregate programs are among the most widely used logic programs with constraints. In this paper, we relate the semantics of these two classes of programs, namely the stable model semantics for weight constraint programs and the answer set semantics based on conditional satisfaction for aggregate programs. Both classes of programs are instances of logic programs with constraints, and in particular, the answer set semantics for aggregate programs can be applied to weight constraint programs. We show that the two semantics are closely related. First, we show that for a broad class of weight constraint programs, called strongly satisfiable programs, the two semantics coincide. When they disagree, a stable model admitted by the stable model semantics may be circularly justified. We show that the gap between the two semantics can be closed by transforming a weight constraint program to a strongly satisfiable one, so that no circular models may be generated under the current implementation of ...

  7. An Enhanced Model of E-Learning Management System Using Semantic Web Technology and Development of Universal Namespace for University Domain

    Directory of Open Access Journals (Sweden)

    Sharmin Rashid

    2012-03-01

    Full Text Available E-learning Management system is one of the special features of today's World Wide Web (WWW which is known as Web 2.0. Research works in the field of E-Learning have presented a broad spectrum of applications, ranged from virtual classrooms to remote courses or distance learning. At anytime from anywhere around the world Webbased learning offers E-learners access to educational resources without any delay and difficulties. Due to various limitations of web 2.0 for creating E-learning management system, currently we use Web 3.0 which is known as Semantic web. It is a great platform to represent E-learning management system that recovers the limitations of Web 2.0. It represents a potential technology for supporting E-learning requirements. In this paper, we propose a model of E-learning Management System using semantic web and a namespace to represent a university on semantic web where course syllabus, teaching methods, learning activities and learning styles are included. This paper also provides a hierarchical content structure and semantic relationship between concepts that can provide related useful information for searching and sequencing learning resources in web-based E-learning systems.

  8. Study on Information Search Model Based on Semantic Web Services%基于语义Web服务的信息检索模型研究

    Institute of Scientific and Technical Information of China (English)

    李志强

    2011-01-01

    In order to resolve the lack of semantic information of traditional keyword-based information search method, this paper puts forward the information search model based on semantic Web services in distributed network environment, on the basis of the description on key technologies of semantic Web services. Through analysis of the functions of the model, it proposes the information search mechanism based on semantic similarity, and provides the solution in order to implement integration and sharing on information resources of heterogeneous systems. Finally it illustrates the implementation of information search prototype system based on semantic Web services, and makes performance analysis by simulated experiment. As a result, this paper provides a solution in order to achieve automatic and intelligent information search.%为解决传统基于关键词的信息检索机制的语义信息缺失问题,在对语义Web和Web服务关键技术描述的基础上,本文提出分布式网络环境下基于语义Web服务的信息检索模型.通过对模型中每一层功能的分析,提出基于语义相似度的信息检索机制,并为实现异构系统的信息集成和共享提供解决方案.最后实现基于语义Web服务的信息检索原型系统,并通过仿真实验进行性能分析.结果证明,本文为实现自动化与智能化信息检索提供一种较好的解决方案.

  9. Unconsciously triggered response inhibition requires an executive setting.

    Science.gov (United States)

    Chiu, Yu-Chin; Aron, Adam R

    2014-02-01

    Much research on response inhibition has focused on a consciously triggered variety (i.e., outright stopping of action). However, recent studies have shown that response inhibition can also be triggered unconsciously. For example, van Gaal, Ridderinkhof, Scholte, and Lamme (2010) showed that an unconscious no-go prime slowed down ongoing behavior, at least when outright stopping was sometimes required (i.e., in an executive setting). Here we replicated that result but also went further by including a condition with no executive setting. Then there was no slowing following a no-go prime. These results support the hypothesis that an executive setting is necessary for unconsciously triggered inhibition. We speculate that this arises from the fact that when the context includes outright stopping, the brain network for response inhibition is primed, and it can be triggered by the unconscious prime. The result has theoretical implications for the distinction between conscious and unconscious response inhibition and also clinical implications for how to train response inhibition so that it is instantiated automatically.

  10. From structure from motion to historical building information modeling: populating a semantic-aware library of architectural elements

    Science.gov (United States)

    Santagati, Cettina; Lo Turco, Massimiliano

    2017-01-01

    In recent years, we have witnessed a huge diffusion of building information modeling (BIM) approaches in the field of architectural design, although very little research has been undertaken to explore the value, criticalities, and advantages attributable to the application of these methodologies in the cultural heritage domain. Furthermore, the last developments in digital photogrammetry lead to the easy generation of reliable low-cost three-dimensional textured models that could be used in BIM platforms to create semantic-aware objects that could compose a specific library of historical architectural elements. In this case, the transfer between the point cloud and its corresponding parametric model is not so trivial and the level of geometrical abstraction could not be suitable with the scope of the BIM. The aim of this paper is to explore and retrace the milestone works on this crucial topic in order to identify the unsolved issues and to propose and test a unique and simple workflow practitioner centered and based on the use of the latest available solutions for point cloud managing into commercial BIM platforms.

  11. Wernicke's Aphasia Reflects a Combination of Acoustic-Phonological and Semantic Control Deficits: A Case-Series Comparison of Wernicke's Aphasia, Semantic Dementia and Semantic Aphasia

    Science.gov (United States)

    Robson, Holly; Sage, Karen; Lambon Ralph, Matthew A.

    2012-01-01

    Wernicke's aphasia (WA) is the classical neurological model of comprehension impairment and, as a result, the posterior temporal lobe is assumed to be critical to semantic cognition. This conclusion is potentially confused by (a) the existence of patient groups with semantic impairment following damage to other brain regions (semantic dementia and…

  12. Unconscious Biases: Racial Microaggressions in American Indian Health Care

    Science.gov (United States)

    Walls, Melissa L.; Gonzalez, John; Gladney, Tanya; Onello, Emily

    2015-01-01

    Purpose This paper reports on the prevalence and correlates of microaggressive experiences in healthcare settings reported by American Indian (AI) adults with type 2 diabetes. Methods This community-based participatory research project includes two AI reservation communities. Data were collected via in-person paper-and-pencil survey interviews with 218 AI adults diagnosed with type 2 diabetes. Results Over 1/3 of the sample reported experiencing a microaggression in interactions with their health providers. Reports of microaggressions were correlated with self-reported history of heart attack, worse depressive symptoms, and prior year hospitalization. Depressive symptom ratings appeared to account for some of the association between microaggressions and hospitalization (but not history of heart attack) in multivariate models. Conclusions Microaggressive experiences undermine the ideals of patient-centered care and in this study were correlated with worse mental and physical health reports for American Indians living with a chronic disease. Providers should be cognizant of these subtle, often unconscious forms of discrimination. PMID:25748764

  13. ANALYSIS OF UNCONSCIOUS BEHAVIOR PATTERNS OF FOSTER MOTHERS IN FOSTER FAMILIES

    Directory of Open Access Journals (Sweden)

    Shcherbina S. M.

    2015-09-01

    Full Text Available The article deals with the unconscious patterns of an adoptive mother’s behavior in foster families. It considers unconscious purposes of a mother, causing certain coping strategies and leading defense mechanisms of adoptive mothers influencing the success of family socialization of foster children. It describes the conflict of the image I mother of the adopted child and the controversy caused by the incompatibility of the requirements of the society to foster mother to be an Ideal Mother, her own model of a Good mother and the opinion of the society about the adoptive mother as inherently Bad. The requirements of the society to the mother, including those to the foster one, the image of the mother of Slavic culture, the unconscious creation by the woman of the image of a good mother and a bad one by the Mother archetype that lead to unconscious desire to preserve the integrity of the personality through switching on psychological defense mechanisms are analyzed. Different styles of interaction and the psychological types of mothers that serve as the basis for the formation of neuroses. The empirical study of a woman’s self-assessment as a mothers is described through the modified technique of S. Budassi; the way of behavior in stressful situations - through projective techniques "Man in the Rain"; psychological defense mechanism – by the procedure of R. Plutchik "Diagnosis of typologies of psychological defense." It describes the results of techniques of a group of women with problematic selfassessment of themselves as the mother in a situation of emotional stability and their response characteristics in stressful situations. The author analyzes the major psychological defense mechanisms of adoptive mothers, their possible reactions in the process of upbringing adopted children. A typology of behavioral reactions of mothers caused by their existing psychological characteristics is proposed

  14. Semantic graphs and associative memories.

    Science.gov (United States)

    Pomi, Andrés; Mizraji, Eduardo

    2004-12-01

    Graphs have been increasingly utilized in the characterization of complex networks from diverse origins, including different kinds of semantic networks. Human memories are associative and are known to support complex semantic nets; these nets are represented by graphs. However, it is not known how the brain can sustain these semantic graphs. The vision of cognitive brain activities, shown by modern functional imaging techniques, assigns renewed value to classical distributed associative memory models. Here we show that these neural network models, also known as correlation matrix memories, naturally support a graph representation of the stored semantic structure. We demonstrate that the adjacency matrix of this graph of associations is just the memory coded with the standard basis of the concept vector space, and that the spectrum of the graph is a code invariant of the memory. As long as the assumptions of the model remain valid this result provides a practical method to predict and modify the evolution of the cognitive dynamics. Also, it could provide us with a way to comprehend how individual brains that map the external reality, almost surely with different particular vector representations, are nevertheless able to communicate and share a common knowledge of the world. We finish presenting adaptive association graphs, an extension of the model that makes use of the tensor product, which provides a solution to the known problem of branching in semantic nets.

  15. The Design of Optimization of Logic Data Model Based on Semantics%基于语义的逻辑模型优化研究

    Institute of Scientific and Technical Information of China (English)

    文必龙; 贲月梅

    2011-01-01

    在不改变模型结构的基础上,从语义描述的角度,根据模型扩展原则和优化指标确定扩展内容,采用扩展参照实体的标准值方式,通过语义约束来更好地响应企业的业务变化需求.从而有效地保证逻辑模型的实用性、稳定性和可持续性.%On the basis of no change the model structure,from the semantics description viewpoint,based on the principles for model expanding and optimization indexes to determine the extended objects, adopt the form of standard extention of reference entities,through semantic constraints to response changes and needs of the business. So the logical model's practicality , stability and sustainability is ensured.

  16. Programming the semantic web

    CERN Document Server

    Segaran, Toby; Taylor, Jamie

    2009-01-01

    With this book, the promise of the Semantic Web -- in which machines can find, share, and combine data on the Web -- is not just a technical possibility, but a practical reality Programming the Semantic Web demonstrates several ways to implement semantic web applications, using current and emerging standards and technologies. You'll learn how to incorporate existing data sources into semantically aware applications and publish rich semantic data. Each chapter walks you through a single piece of semantic technology and explains how you can use it to solve real problems. Whether you're writing

  17. Unconsciously triggered emotional conflict by emotional facial expressions.

    Directory of Open Access Journals (Sweden)

    Jun Jiang

    Full Text Available The present study investigated whether emotional conflict and emotional conflict adaptation could be triggered by unconscious emotional information as assessed in a backward-masked affective priming task. Participants were instructed to identify the valence of a face (e.g., happy or sad preceded by a masked happy or sad face. The results of two experiments revealed the emotional conflict effect but no emotional conflict adaptation effect. This demonstrates that emotional conflict can be triggered by unconsciously presented emotional information, but participants may not adjust their subsequent performance trial-by trial to reduce this conflict.

  18. Unconsciously triggered emotional conflict by emotional facial expressions.

    Science.gov (United States)

    Jiang, Jun; Bailey, Kira; Chen, Antao; Cui, Qian; Zhang, Qinglin

    2013-01-01

    The present study investigated whether emotional conflict and emotional conflict adaptation could be triggered by unconscious emotional information as assessed in a backward-masked affective priming task. Participants were instructed to identify the valence of a face (e.g., happy or sad) preceded by a masked happy or sad face. The results of two experiments revealed the emotional conflict effect but no emotional conflict adaptation effect. This demonstrates that emotional conflict can be triggered by unconsciously presented emotional information, but participants may not adjust their subsequent performance trial-by trial to reduce this conflict.

  19. UML Semantics FAQ: Dynamic Behaviour and Concurrency

    NARCIS (Netherlands)

    Wieringa, Roel; Astesiano, Egidio; Reggio, Gianna; Le Guennec, Alain; Hussman, Heinrich; Berg, van den Klaas; Broek, van den Pim; Demeyer, Serge

    1999-01-01

    This paper reports the results of a workshop held at ECOOP'99. The workshop was set up to find answers to questions fundamental to the definition of a semantics for the Unified Modelling Language. Questions examined the meaning of the term semantics in the context of UML; approaches to defining the

  20. Configuring Semantic Web Interfaces by Data Mapping

    NARCIS (Netherlands)

    Hildebrand, M.; Ossenbruggen, J.R. van

    2009-01-01

    We demonstrate how to develop Web-based user interfaces for Semantic Web applications using commonly available, off-the-shelf Web widget libraries. By formally defining the underlying data model that is assumed by these widgets, Semantic Web application developers can use familiar RDF constructs to

  1. Petri Nets and Semantics of System Descriptions

    DEFF Research Database (Denmark)

    Jensen, Kurt; Kyng, Morten

    1982-01-01

    This paper discusses the use of Petri nets as a semantic tool in the design of languages and in the construction and analysis of system descriptions. The topics treated are: Languages based on nets. The problem of time in nets. Nets and related models. Nets and formal semantics. Parallel program...

  2. UML Semantics FAQ: Dynamic Behaviour and Concurrency

    NARCIS (Netherlands)

    Wieringa, Roelf J.; Demeyer, Serge; Astesiano, Egidio; Reggio, Gianna; Le Guennec, Alain; Hussman, Heinrich; van den Berg, Klaas; van den Broek, P.M.

    This paper reports the results of a workshop held at ECOOP'99. The workshop was set up to find answers to questions fundamental to the definition of a semantics for the Unified Modelling Language. Questions examined the meaning of the term semantics in the context of UML; approaches to defining the

  3. Semantic Extraction for Multi-Enterprise Business Collaboration

    Institute of Scientific and Technical Information of China (English)

    SUN Hongjun; FAN Yushun

    2009-01-01

    Semantic extraction is essential for semantic interoperability in multi-enterprise business collabo-ration environments. Although many studies on semantic extraction have been carried out, few have focused on how to precisely and effectively extract semantics from multiple heterogeneous data schemas. This paper presents a semi-automatic semantic extraction method based on a neutral representation format (NRF) for acquiring semantics from heterogeneous data schemas. As a unified syntax-independent model, NRF re-moves all the contingencies of heterogeneous data schemas from the original data environment. Conceptual extraction and keyword extraction are used to acquire the semantics from the NRF. Conceptual extraction entails constructing a conceptual model, while keyword extraction seeks to obtain the metadata. An industrial case is given to validate the approach. This method has good extensibility and flexibility. The results show that the method provides simple, accurate, and effective semantic intereperability in multi-enterprise busi-ness collaboration environments.

  4. 无意识情绪研究的新方向%The New Approach to Study Unconscious Emotion

    Institute of Scientific and Technical Information of China (English)

    陈丽; 陈侠; 涂燊; 张雅如; 张庆林

    2015-01-01

    The concept of unconscious emotion has developed from addressing subliminal emotional stimulus to emphasizing unawareness of emotional experience. To integrate the two different paths to explore unconscious emotion, Wiens model, an information-processing model of emotion was introduced. According to Wiens model, there exist two parallel approaches to understand unconscious emotion, which are “stimulus-focused approach” and “experience -focused approach“. The core ideas, empirical studies, theoretical debates, methodological challenges and the essences of unconscious emotion along the two separate ways were then reviewed. It is implied that by nature consciousness and unconsciousness of emotion might be complementary rather than contradictory to each other based on Wiens model. And the new approach to study unconscious emotion might be the “experience-focused approach“.The application and future direction of research on unconscious emotion were also discussed.%首先介绍关于“无意识情绪”的两种概念。接着介绍可较好地对该两类无意识情绪概念进行整合的无意识情绪信息加工模型——Wiens模型(Wiens &Öhman,2007),分析了Wiens模型中“刺激聚焦途径”与“体验聚焦途径”两条途径下的无意识情绪的基本观点、相关实证研究、分别面临的研究难题或受到的质疑,及不同途径下无意识情绪的本质。在此基础上指出,传统情绪理论下情绪的意识属性或可与 Wiens 模型中体验聚焦途径下情绪的无意识属性互为补充,相辅相成;无意识情绪研究的新方向是体验聚焦途径。最后,对未来研究提出了展望。

  5. Understanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation

    Science.gov (United States)

    Günther, Fritz; Marelli, Marco

    2016-01-01

    Noun compounds, consisting of two nouns (the head and the modifier) that are combined into a single concept, differ in terms of their plausibility: school bus is a more plausible compound than saddle olive. The present study investigates which factors influence the plausibility of attested and novel noun compounds. Distributional Semantic Models (DSMs) are used to obtain formal (vector) representations of word meanings, and compositional methods in DSMs are employed to obtain such representations for noun compounds. From these representations, different plausibility measures are computed. Three of those measures contribute in predicting the plausibility of noun compounds: The relatedness between the meaning of the head noun and the compound (Head Proximity), the relatedness between the meaning of modifier noun and the compound (Modifier Proximity), and the similarity between the head noun and the modifier noun (Constituent Similarity). We find non-linear interactions between Head Proximity and Modifier Proximity, as well as between Modifier Proximity and Constituent Similarity. Furthermore, Constituent Similarity interacts non-linearly with the familiarity with the compound. These results suggest that a compound is perceived as more plausible if it can be categorized as an instance of the category denoted by the head noun, if the contribution of the modifier to the compound meaning is clear but not redundant, and if the constituents are sufficiently similar in cases where this contribution is not clear. Furthermore, compounds are perceived to be more plausible if they are more familiar, but mostly for cases where the relation between the constituents is less clear. PMID:27732599

  6. Semantics for Possibilistic Disjunctive Programs

    CERN Document Server

    Nieves, Juan Carlos; Cortés, Ulises

    2011-01-01

    In this paper, a possibilistic disjunctive logic programming approach for modeling uncertain, incomplete and inconsistent information is defined. This approach introduces the use of possibilistic disjunctive clauses which are able to capture incomplete information and incomplete states of a knowledge base at the same time. By considering a possibilistic logic program as a possibilistic logic theory, a construction of a possibilistic logic programming semantic based on answer sets and the proof theory of possibilistic logic is defined. It shows that this possibilistic semantics for disjunctive logic programs can be characterized by a fixed-point operator. It is also shown that the suggested possibilistic semantics can be computed by a resolution algorithm and the consideration of optimal refutations from a possibilistic logic theory. In order to manage inconsistent possibilistic logic programs, a preference criterion between inconsistent possibilistic models is defined; in addition, the approach of cuts for re...

  7. 基于语义处理技术的信息检索模型%Information Retrieval Model Based on Semantic Processing Technology

    Institute of Scientific and Technical Information of China (English)

    王瑞琴

    2012-01-01

    信息爆炸是当今信息社会的一大特点,如何在海量的信息中有效地找到所需信息因而成为了一个关键问题,语义检索技术是解决这一问题非常有潜力的方法.本文对信息检索中的若干关键问题进行了研究,提出了基于语义处理技术的信息检索模型--SPTIR,该模型主要包括以下关键技术:基于词义消歧的语义查询扩展、基于词汇语义相关性度量的查询优化和基于文档语义相关性的检索结果重排序.最后使用大型测试数据集和多项性能指标对SPTIR模型的检索性能进行了试验评估,实验结果充分验证了SPTIR模型的竞争优势以及该模型采用的各项语义处理技术对提高检索性能所起的积极作用.%We are in an information age that is mainly characterized by information explosion, and how to find moreprecise search results in the ocean of information becomes a key issue. Semantic search technique, fortunately, is a hopeful way to solve this problem. Several key problems in Information Retrieval (IR) domain are addressed and a novel Semantic Processing Technology based Information Retrieval ( SPTIR) model is proposed in this dissertation. SPTIR includes the following key technologies;Word Sense Disambiguation (WSD) based semantic query expansion, word semantic relatedness based query optimization and document semantic relevance based search results re-ranking. Finally large test data sets and a number of performance indicators are used to test the retrieval performance of the proposed model, and the experimental results fully validated the competitive advantage of SPTIR as well as the active role of semantic processing techniques adopted in improving the retrieval performance.

  8. Semantic and Process Interoperability

    Directory of Open Access Journals (Sweden)

    Félix Oscar Fernández Peña

    2010-05-01

    Full Text Available Knowledge management systems support education at different levels of the education. This is very important for the process in which the higher education of Cuba is involved. Structural transformations of teaching are focused on supporting the foundation of the information society in the country. This paper describes technical aspects of the designing of a model for the integration of multiple knowledgemanagement tools supporting teaching. The proposal is based on the definition of an ontology for the explicit formal description of the semantic of motivations of students and teachers in the learning process. Its target is to facilitate knowledge spreading.

  9. Breakthrough in the Human Decision Making Based on an Unconscious Origin of Free Will

    OpenAIRE

    Dubois, Daniel

    2010-01-01

    This paper deals with a breakthrough in the concept of free will in the human decision making. It is assumed that the consciousness and unconsciousness show the same mind processes in the human brain. The decision making initiates unconsciously in the human brain, and, eventually, becomes a conscious decision. So the free will is unconsciously prepared in the human brain. Then I conjecture that what is called the conscious human brain is just the enlightening of some parts of the unconscious ...

  10. Jung's Psychology and Deleuze's Philosophy: The Unconscious in Learning

    Science.gov (United States)

    Semetsky, Inna; Delpech-Ramey, Joshua A.

    2012-01-01

    This paper addresses the unconscious dimension as articulated in Carl Jung's depth psychology and in Gilles Deleuze's philosophy. Jung's theory of the archetypes and Deleuze's pedagogy of the concept are two complementary resources that posit individuation as the goal of human development and self-education in practice. The paper asserts that…

  11. The Script System: An Unconscious Organization of Experience

    Directory of Open Access Journals (Sweden)

    Marye O'Reilly-Knapp

    2010-11-01

    Full Text Available This article describes the script system with a case study to illustrate the four primary components: script beliefs; behavioral, fantasy and physiological manifestations; reinforcing experiences; and the intrapsychic process of repressed needs and feelings. The article was originally published in Life Scripts: A Transactional Analysis of Unconscious Relational Patterns, edited by Richard G. Erskine, reprinted with kind permission of Karnac Books.

  12. The 'Medea fantasy'. An unconscious determinant of psychogenic sterility.

    Science.gov (United States)

    Leuzinger-Bohleber, M

    2001-04-01

    The author begins by pointing out that myths have always been powerful vehicles for the projection of ubiquitous unconscious fantasies. Having noted the importance of certain male protagonists of the Greek myths in Freud's theories, she observes that their female counterparts exert an equal fascination and suggests that the Medea myth as recounted by Euripides can be invoked to elucidate a central unconscious fantasy found to underlie the psychogenic frigidity and sterility of several of her female patients. The manifestation of this 'Medea fantasy' is illustrated by a clinical account in which a dream is analysed. The author next summarises the Medea story as told by Euripides and attempts a psychoanalytic interpretation of it. She draws attention to features of the 'unconscious truth' inherent in the myth that were shared by all the members of her group of patients. A case history then shows how the progressive understanding and working through of the Medea fantasy led to a change in the analysand's experience of femininity and enabled her to have children. It is postulated that both early infantile sexual fantasies and repressed memories of early object-relations traumas such as maternal depression combine with ubiquitous bodily fantasies to produce the unconscious Medea fantasy.

  13. The alienness of the unconscious: on Laplanche's theory of seduction.

    Science.gov (United States)

    Rotmann, Michael

    2002-04-01

    In this paper the author uses a clinical example as a focus for an exploration of his thesis that the parent is the 'other' who implants his or her unconscious message into the child by means of seduction. As the other is alien, the unconscious of the child cannot any longer be considered the centre of the person but is decentred by the implanted alienness. The author draws on Laplanche's seduction theory to argue that the unconscious message of seduction by the other is exclusively sexual and that it cannot be translated nor symbolized because an interpretative system shared by subject and object is lacking. The decentred alterity of the unconscious allows for comparison with a third object and hence a structural triangulation of the mind which is a prerequisite for symbolization. The role of the analyst in permitting a transference enactment and so facilitating the beginning of sexual symbolization is discussed in relation to the clinical example given at the start of the paper.

  14. Social influences on unconscious plagiarism and anti-plagiarism.

    Science.gov (United States)

    Hollins, Timothy J; Lange, Nicholas; Dennis, Ian; Longmore, Christopher A

    2016-08-01

    People are more likely to unconsciously plagiarise ideas from a same-sex partner than a different-sex partner, and more likely to unconsciously plagiarise if recalling alone rather than in the presence of their partner [Macrae, C. N., Bodenhausen, G. V., & Calvini, G. (1999). Contexts of cryptomnesia: May the source be with you. Social Cognition, 17, 273-297. doi: 10.1521/soco.1999.17.3.273 ]. Two sets of experiments explore these phenomena, using extensions of the standard unconscious plagiarism paradigm. In Experiment 1A participants worked together in same- or different-sex dyads before trying to recall their own ideas or their partner's ideas. More source errors were evident for same-sex dyads (Experiment 1A), but this effect was absent when participants recalled from both sources simultaneously (Experiment 1B). In Experiment 2A, participants recalled ideas from a single source either alone or in the presence of the partner, using an extended-recall task. Partner presence did not affect the availability of ideas, but did reduce the propensity to report them as task compliant, relative to a partner-present condition. Simultaneous recall from both sources removed this social effect (Experiment 2B). Thus social influences on unconscious plagiarism are apparent, but are influenced by the salience of the alternate source at retrieval.

  15. Right Hemispheric Dominance in Processing of Unconscious Negative Emotion

    Science.gov (United States)

    Sato, Wataru; Aoki, Satoshi

    2006-01-01

    Right hemispheric dominance in unconscious emotional processing has been suggested, but remains controversial. This issue was investigated using the subliminal affective priming paradigm combined with unilateral visual presentation in 40 normal subjects. In either left or right visual fields, angry facial expressions, happy facial expressions, or…

  16. Diversity Matters in Academic Radiology: Acknowledging and Addressing Unconscious Bias.

    Science.gov (United States)

    Allen, Brenda J; Garg, Kavita

    2016-12-01

    To meet challenges related to changing demographics, and to optimize the promise of diversity, radiologists must bridge the gap between numbers of women and historically underrepresented minorities in radiology and radiation oncology as contrasted with other medical specialties. Research reveals multiple ways that women and underrepresented minorities can benefit radiology education, research, and practice. To achieve those benefits, promising practices promote developing and implementing strategies that support diversity as an institutional priority and cultivate shared responsibility among all members to create inclusive learning and workplace environments. Strategies also include providing professional development to empower and equip members to accomplish diversity-related goals. Among topics for professional development about diversity, unconscious bias has shown positive results. Unconscious bias refers to ways humans unknowingly draw upon assumptions about individuals and groups to make decisions about them. Researchers have documented unconscious bias in a variety of contexts and professions, including health care, in which they have studied differential treatment, diagnosis, prescribed care, patient well-being and compliance, physician-patient interactions, clinical decision making, and medical school education. These studies demonstrate unfavorable impacts on members of underrepresented groups and women. Learning about and striving to counteract unconscious bias points to promising practices for increasing the numbers of women and underrepresented minorities in the radiology and radiation oncology workforce.

  17. Finding unconscious phantasy in the session: Recognizing form.

    Science.gov (United States)

    Bronstein, Catalina

    2015-08-01

    The concept of unconscious phantasy has played - and still does play - a central role in psychoanalytic thinking. The author discusses the various forms by which unconscious phantasies manifest themselves in the analytic session as they are lived out and enacted in the transference relationship. This paper also aims at expanding the kleinian theory of symbol formation by exploring the impact that emotional aspects connected to early "raw', "pre-symbolic' phantasies have in the analysis and how their corporeal elements interlock with the signifying process. The author follows the expressive forms of primitive unconscious phantasies as they appear in a psychoanalytic session and proposes that the emotional effect that can be experienced in the communication between patient and analyst depends in great measure on "semiotic' aspects linked to primitive phantasies that are felt and lived out in embodied ways. Rather than a move from unconscious phantasies that typify symbolic equations to those showing proper symbolization, these can coexist and simultaneously find their way to what is communicated to the analyst. As early phantasies bear an intimate connection to the body and to unprocessed emotions when they are projected into the analyst they can produce a powerful resonance, sometimes also experienced in a physical way and forming an integral part of the analyst's counter-transference. Copyright © 2015 Institute of Psychoanalysis.

  18. Timely Revolutions: On the Timelessness of the Unconscious

    Directory of Open Access Journals (Sweden)

    Fanny Söderbäck

    2014-12-01

    Full Text Available Julia Kristeva’s work on the concept of revolt is marked by a temporal analysis that takes revolt to be a movement of return into the past that makes possible change, rebirth, and an open future. Such temporal revolt is, according to Kristeva, intimate, in that it touches on unconscious psychic structures and operates on the level of thought and creativity. But Kristeva simultaneously inherits Freud’s notion that the unconscious is timeless. How, I ask, can revolt be defined as a temporal movement of return while at the same time being rooted in timelessness? I examine both Freud’s and Kristeva’s discussions of the timelessness of the unconscious and suggest that it needs to be understood not as non-temporal or outside of time, but rather as a temporal structure that challenges traditional philosophical conceptions of time. As such, the timelessness of the unconscious is far from being yet another instantiation of metaphysical presence. Rather, I see it as offering a challenge to both metaphysical presence and linear time, and indeed as making possible the retrospective movement of return that revolt for Kristeva must be.

  19. Thalamic semantic paralexia

    Directory of Open Access Journals (Sweden)

    Michael Hoffmann

    2012-03-01

    Full Text Available Alexia may be divided into different subtypes, with semantic paralexia being particularly rare. A 57 year old woman with a discreet left thalamic stroke and semantic paralexia is described. Language evalution with the Boston Diagnostic Aphasia Battery confirmed the semantic paralexia (deep alexia. Multimodality magnetic resonance imaging brain scanning excluded other cerebral lesions. A good recovery ensued.

  20. Thalamic semantic paralexia

    Science.gov (United States)

    Hoffmann, Michael

    2012-01-01

    Alexia may be divided into different subtypes, with semantic paralexia being particularly rare. A 57 year old woman with a discreet left thalamic stroke and semantic paralexia is described. Language evalution with the Boston Diagnostic Aphasia Battery confirmed the semantic paralexia (deep alexia). Multimodality magnetic resonance imaging brain scanning excluded other cerebral lesions. A good recovery ensued. PMID:22593810

  1. The ocular microtremor record and the prognosis of the unconscious patient.

    Science.gov (United States)

    Coakley, D; Thomas, J G

    1977-03-05

    Ocular microtremor was recorded in 41 healthy subjects and 70 unconscious patients. Abnormalities of frequency and pattern were found in all the unconscious patients, the degree of abnormality being related to outcome. The ocular microtremor record is a potential aid to prognosis in the unconscious patient.

  2. Semantic modeling of e-solutions using a view formalism with conceptual & logical extensions

    NARCIS (Netherlands)

    Rajugan, R.; Chang, E.; Feng, L.; Dillon, T.

    2005-01-01

    In industrial informatics, there exists a requirement to model and design views at a higher level of abstraction. Since the classical view definitions are only available at the query or instance level, modelling and maintaining such views for complex enterprise information systems (EIS) is a challen

  3. Enabling Semantic Technology Empowered Smart Spaces

    Directory of Open Access Journals (Sweden)

    Jussi Kiljander

    2012-01-01

    Full Text Available It has been proposed that Semantic Web technologies would be key enablers in achieving context-aware computing in our everyday environments. In our vision of semantic technology empowered smart spaces, the whole interaction model is based on the sharing of semantic data via common blackboards. This approach allows smart space applications to take full advantage of semantic technologies. Because of its novelty, there is, however, a lack of solutions and methods for developing semantic smart space applications according to this vision. In this paper, we present solutions to the most relevant challenges we have faced when developing context-aware computing in smart spaces. In particular the paper describes (1 methods for utilizing semantic technologies with resource restricted-devices, (2 a solution for identifying real world objects in semantic technology empowered smart spaces, (3 a method for users to modify the behavior of context-aware smart space applications, and (4 an approach for content sharing between autonomous smart space agents. The proposed solutions include ontologies, system models, and guidelines for building smart spaces with the M3 semantic information sharing platform. To validate and demonstrate the approaches in practice, we have implemented various prototype smart space applications and tools.

  4. Joyce y el inconsciente. // Joyce and the unconscious.

    Directory of Open Access Journals (Sweden)

    Ana Cristina Ramírez Carmen

    2009-12-01

    Full Text Available This paper analyzes two references proposed by Lacan that apparently pose a paradox: in the first reference, in 1975, he stated that Joyce is an unsubscribed from the unconscious; in the second one, in 1976, he affirmed that Unconscious and Real in Joyce are tied one to another, which lead us to ask this question: from which unconscious is Joyce unsubscribed? This way, the author intends to examine the rule of unconscious in Joyce’s case, as explained by Lacan in 1975-1976. If Lacan considers the Unconscious structured like a language to be a lucubration of knowledge in relation with lalangue, this paper will show how Joyce finds a particular answer for the issue of joy that does not pass through that lucubration. // En el presente trabajo se retoman dos referencias de Lacan que plantean una aparente paradoja; en la primera, de 1975, habla de Joyce como desabonado del Inconsciente, en la segunda, en 1976, dice que en Joyce Inconsciente y real se anudan, razón suficiente para preguntarse ¿De qué Inconsciente está desabonado Joyce? Así, se pretende interrogar el estatuto del Inconsciente en el caso de Joyce, tal como lo aborda Lacan en 1975-1976. Si para Lacan el Inconsciente estructurado como un lenguaje es una elucubración de saber sobre lalengua, este recorrido permitirá ver cómo Joyce encuentra una respuesta singular al problema del goce que no pasa por dicha elucubración.

  5. Addressing Unconscious Bias: Steps toward an Inclusive Scientific Culture

    Science.gov (United States)

    Stewart, Abigail

    2011-01-01

    In this talk I will outline the nature of unconscious bias, as it operates to exclude or marginalize some participants in the scientific community. I will show how bias results from non-conscious expectations about certain groups of people, including scientists and astronomers. I will outline scientific research in psychology, sociology and economics that has identified the impact these expectations have on interpersonal judgments that are at the heart of assessment of individuals' qualifications. This research helps us understand not only how bias operates within a single instance of evaluation, but how evaluation bias can accumulate over a career if not checked, creating an appearance of confirmation of biased expectations. Some research has focused on how best to interrupt and mitigate unconscious bias, and many institutions--including the University of Michigan--have identified strategic interventions at key points of institutional decision-making (particularly hiring, annual review, and promotion) that can make a difference. The NSF ADVANCE Institutional Transformation program encouraged institutions to draw on the social science literature to create experimental approaches to addressing unconscious bias. I will outline four approaches to intervention that have arisen through the ADVANCE program: (1) systematic education that increases awareness among decisionmakers of how evaluation bias operates; (2) development of practices that mitigate the operation of bias even when it is out of conscious awareness; (3) creation of institutional policies that routinize and sanction these practices; and (4) holding leaders accountable for these implementation of these new practices and policies. Although I will focus on ways to address unconscious bias within scientific institutions (colleges and universities, laboratories and research centers, etc.), I will close by considering how scientific organizations can address unconscious bias and contribute to creating an

  6. Towards Automatic Validation and Healing of Citygml Models for Geometric and Semantic Consistency

    Science.gov (United States)

    Alam, N.; Wagner, D.; Wewetzer, M.; von Falkenhausen, J.; Coors, V.; Pries, M.

    2013-09-01

    A steadily growing number of application fields for large 3D city models have emerged in recent years. Like in many other domains, data quality is recognized as a key factor for successful business. Quality management is mandatory in the production chain nowadays. Automated domain-specific tools are widely used for validation of business-critical data but still common standards defining correct geometric modeling are not precise enough to define a sound base for data validation of 3D city models. Although the workflow for 3D city models is well-established from data acquisition to processing, analysis and visualization, quality management is not yet a standard during this workflow. Processing data sets with unclear specification leads to erroneous results and application defects. We show that this problem persists even if data are standard compliant. Validation results of real-world city models are presented to demonstrate the potential of the approach. A tool to repair the errors detected during the validation process is under development; first results are presented and discussed. The goal is to heal defects of the models automatically and export a corrected CityGML model.

  7. Nominal Henkin Semantics: simply-typed lambda-calculus models in nominal sets

    CERN Document Server

    Gabbay, Murdoch J; 10.4204/EPTCS.71.5

    2011-01-01

    We investigate a class of nominal algebraic Henkin-style models for the simply typed lambda-calculus in which variables map to names in the denotation and lambda-abstraction maps to a (non-functional) name-abstraction operation. The resulting denotations are smaller and better-behaved, in ways we make precise, than functional valuation-based models. Using these new models, we then develop a generalisation of \\lambda-term syntax enriching them with existential meta-variables, thus yielding a theory of incomplete functions. This incompleteness is orthogonal to the usual notion of incompleteness given by function abstraction and application, and corresponds to holes and incomplete objects.

  8. Category Theory and Model-Driven Engineering: From Formal Semantics to Design Patterns and Beyond

    Directory of Open Access Journals (Sweden)

    Zinovy Diskin

    2012-08-01

    Full Text Available There is a hidden intrigue in the title. CT is one of the most abstract mathematical disciplines, sometimes nicknamed "abstract nonsense". MDE is a recent trend in software development, industrially supported by standards, tools, and the status of a new "silver bullet". Surprisingly, categorical patterns turn out to be directly applicable to mathematical modeling of structures appearing in everyday MDE practice. Model merging, transformation, synchronization, and other important model management scenarios can be seen as executions of categorical specifications. Moreover, the paper aims to elucidate a claim that relationships between CT and MDE are more complex and richer than is normally assumed for "applied mathematics". CT provides a toolbox of design patterns and structural principles of real practical value for MDE. We will present examples of how an elementary categorical arrangement of a model management scenario reveals deficiencies in the architecture of modern tools automating the scenario.

  9. Semantic networks of English.

    Science.gov (United States)

    Miller, G A; Fellbaum, C

    1991-12-01

    Principles of lexical semantics developed in the course of building an on-line lexical database are discussed. The approach is relational rather than componential. The fundamental semantic relation is synonymy, which is required in order to define the lexicalized concepts that words can be used to express. Other semantic relations between these concepts are then described. No single set of semantic relations or organizational structure is adequate for the entire lexicon: nouns, adjectives, and verbs each have their own semantic relations and their own organization determined by the role they must play in the construction of linguistic messages.

  10. Semantic Text Indexing

    Directory of Open Access Journals (Sweden)

    Zbigniew Kaleta

    2014-01-01

    Full Text Available This article presents a specific issue of the semantic analysis of texts in natural language – text indexing and describes one field of its application (web browsing.The main part of this article describes the computer system assigning a set of semantic indexes (similar to keywords to a particular text. The indexing algorithm employs a semantic dictionary to find specific words in a text, that represent a text content. Furthermore it compares two given sets of semantic indexes to determine texts’ similarity (assigning numerical value. The article describes the semantic dictionary – a tool essentialto accomplish this task and its usefulness, main concepts of the algorithm and test results.

  11. Semantic Bim and GIS Modelling for Energy-Efficient Buildings Integrated in a Healthcare District

    Science.gov (United States)

    Sebastian, R.; Böhms, H. M.; Bonsma, P.; van den Helm, P. W.

    2013-09-01

    The subject of energy-efficient buildings (EeB) is among the most urgent research priorities in the European Union (EU). In order to achieve the broadest impact, innovative approaches to EeB need to resolve challenges at the neighbourhood level, instead of only focusing on improvements of individual buildings. For this purpose, the design phase of new building projects as well as building retrofitting projects is the crucial moment for integrating multi-scale EeB solutions. In EeB design process, clients, architects, technical designers, contractors, and end-users altogether need new methods and tools for designing energy-efficiency buildings integrated in their neighbourhoods. Since the scope of designing covers multiple dimensions, the new design methodology relies on the inter-operability between Building Information Modelling (BIM) and Geospatial Information Systems (GIS). Design for EeB optimisation needs to put attention on the inter-connections between the architectural systems and the MEP/HVAC systems, as well as on the relation of Product Lifecycle Modelling (PLM), Building Management Systems (BMS), BIM and GIS. This paper is descriptive and it presents an actual EU FP7 large-scale collaborative research project titled STREAMER. The research on the inter-operability between BIM and GIS for holistic design of energy-efficient buildings in neighbourhood scale is supported by real case studies of mixed-use healthcare districts. The new design methodology encompasses all scales and all lifecycle phases of the built environment, as well as the whole lifecycle of the information models that comprises: Building Information Model (BIM), Building Assembly Model (BAM), Building Energy Model (BEM), and Building Operation Optimisation Model (BOOM).

  12. Behavioral Modernity and the Cultural Transmission of Structured Information: The Semantic Axelrod Model

    CERN Document Server

    Madsen, Mark E

    2014-01-01

    Cultural transmission models are coming to the fore in explaining increases in the Paleolithic toolkit richness and diversity. Analyses suggest that diversity increased due to relaxation of conformism, due to the effects of demographic expansion on cultural diversity, and the effects of extinction and recolonization in metapopulations. During the Paleolithic, however, technologies increase not only in terms of diversity but also in their complexity and interdependence. As Mesoudi and O'Brien (2008) have shown selection broadly favors social learning that is hierarchical and structured, rather than information which is piecemeal and independent. The addition of structured information acquisition potentially explains how the complexity of technology changes along with diversity. Here, we introduce a structured extension of the Axelrod model of cultural differentiation. We examine the conditions under which structured suites of traits develop and differentiate in the model, which can represent the chains of prer...

  13. Applying a semantic information Petri Net modeling method to AUV systems design

    Institute of Scientific and Technical Information of China (English)

    FENG Xiao-ning; WANG Shuo; WANG Zhuo; LIU Qun

    2008-01-01

    This paper informally introduces colored object-oriented Petri Nets(COOPN) with the application of the AUV system. According to the characteristic of the AUV system's running environment,the object-oriented method is used in this paper not only to dispart system modules but also construct the refined running model of AUV system,then the colored Petri Net method is used to establish hierarchically detailed model in order to get the performance analyzing information of the system. After analyzing the model implementation,the errors of architecture designing and function realization can be found. If the errors can be modified on time,the experiment time in the pool can be reduced and the cost can be saved.

  14. Affordances perspective and grammaticalization: Incorporation of language, environment and users in the model of semantic paths

    Directory of Open Access Journals (Sweden)

    Alexander Andrason

    2015-12-01

    Full Text Available The present paper demonstrates that insights from the affordances perspective can contribute to developing a more comprehensive model of grammaticalization. The authors argue that the grammaticalization process is afforded differently depending on the values of three contributing parameters: the factor (schematized as a qualitative-quantitative map or a wave of a gram, environment (understood as the structure of the stream along which the gram travels, and actor (narrowed to certain cognitive-epistemological capacities of the users, in particular to the fact of being a native speaker. By relating grammaticalization to these three parameters and by connecting it to the theory of optimization, the proposed model offers a better approximation to realistic cases of grammaticalization: The actor and environment are overtly incorporated into the model and divergences from canonical grammaticalization paths are both tolerated and explicable.

  15. Query Optimization by Semantic Reasoning.

    Science.gov (United States)

    1981-05-01

    Haas, Doug Hofstadter, Elaine Kant, Peggy Karp , Fred Lakin, Ruth Andrea Levinson, Paul Martin, Larry Masinter, Thorne McCarty, Brian McCune, Charles...design. McGraw-Hill, New York, 1977. [Wilson80) Wilson, Gerald A. A conceptual model for semantic integrity checking. In Proc. Sixth Itl. Conference on

  16. Structured Operational Semantics for Graph Rewriting

    Directory of Open Access Journals (Sweden)

    T. Heindel

    2012-01-01

    Full Text Available Process calculi and graph transformation systems provide models of reactive systems with labelled transition semantics (LTS. While the semantics for process calculi is compositional, this is not the case for graph transformation systems, in general. Hence, the goal of this article is to obtain a compositional semantics for graph transformation system in analogy to the structural operational semantics (SOS for Milner's Calculus of Communicating Systems (CCS. The paper introduces an SOS style axiomatization of the standard labelled transition semantics for graph transformation systems that is based on the idea of minimal reaction contexts as labels, due to Leifer and Milner. In comparison to previous work on inductive definitions of similarly derived LTSs, the main feature of the proposed axiomatization is a composition rule that captures the communication of sub-systems so that it can feature as a counterpart to the communication rule of CCS.

  17. Structured Operational Semantics for Graph Rewriting

    CERN Document Server

    Dorman, Andrei; 10.4204/EPTCS.59.4

    2011-01-01

    Process calculi and graph transformation systems provide models of reactive systems with labelled transition semantics. While the semantics for process calculi is compositional, this is not the case for graph transformation systems, in general. Hence, the goal of this article is to obtain a compositional semantics for graph transformation system in analogy to the structural operational semantics (SOS) for Milner's Calculus of Communicating Systems (CCS). The paper introduces an SOS style axiomatization of the standard labelled transition semantics for graph transformation systems. The first result is its equivalence with the so-called Borrowed Context technique. Unfortunately, the axiomatization is not compositional in the expected manner as no rule captures "internal" communication of sub-systems. The main result states that such a rule is derivable if the given graph transformation system enjoys a certain property, which we call "complementarity of actions". Archetypal examples of such systems are interacti...

  18. SASL: A Semantic Annotation System for Literature

    Science.gov (United States)

    Yuan, Pingpeng; Wang, Guoyin; Zhang, Qin; Jin, Hai

    Due to ambiguity, search engines for scientific literatures may not return right search results. One efficient solution to the problems is to automatically annotate literatures and attach the semantic information to them. Generally, semantic annotation requires identifying entities before attaching semantic information to them. However, due to abbreviation and other reasons, it is very difficult to identify entities correctly. The paper presents a Semantic Annotation System for Literature (SASL), which utilizes Wikipedia as knowledge base to annotate literatures. SASL mainly attaches semantic to terminology, academic institutions, conferences, and journals etc. Many of them are usually abbreviations, which induces ambiguity. Here, SASL uses regular expressions to extract the mapping between full name of entities and their abbreviation. Since full names of several entities may map to a single abbreviation, SASL introduces Hidden Markov Model to implement name disambiguation. Finally, the paper presents the experimental results, which confirm SASL a good performance.

  19. Denotational semantics in Synthetic Guarded Domain Theory

    DEFF Research Database (Denmark)

    Paviotti, Marco

    2016-01-01

    is guarded. In this thesis we show that gDTT is a natural setting to give denotational semantics of typed functional programming languages with recursion and recursive types. We formulate operational semantics and denotational semantics and prove computational adequacy entirely inside the type theory....... Furthermore, our interpretation is synthetic: types are interpreted as types in the type theory and programs as type-theoretical terms. Moreover, working directly in gDTT has advantages compared with existing set-theoretic models. Finally, this work builds the foundations for doing denotational semantics......In functional programming, features such as recursion, recursive types and general references are central. To define semantics of this kind of languages one needs to come up with certain definitions which may be non-trivial to show well-defined. This is because they are circular. Domain theory has...

  20. Biomedical semantics in the Semantic Web.

    Science.gov (United States)

    Splendiani, Andrea; Burger, Albert; Paschke, Adrian; Romano, Paolo; Marshall, M Scott

    2011-03-07

    The Semantic Web offers an ideal platform for representing and linking biomedical information, which is a prerequisite for the development and application of analytical tools to address problems in data-intensive areas such as systems biology and translational medicine. As for any new paradigm, the adoption of the Semantic Web offers opportunities and poses questions and challenges to the life sciences scientific community: which technologies in the Semantic Web stack will be more beneficial for the life sciences? Is biomedical information too complex to benefit from simple interlinked representations? What are the implications of adopting a new paradigm for knowledge representation? What are the incentives for the adoption of the Semantic Web, and who are the facilitators? Is there going to be a Semantic Web revolution in the life sciences?We report here a few reflections on these questions, following discussions at the SWAT4LS (Semantic Web Applications and Tools for Life Sciences) workshop series, of which this Journal of Biomedical Semantics special issue presents selected papers from the 2009 edition, held in Amsterdam on November 20th.

  1. Semantics of Information

    CERN Document Server

    Song, Daegene

    2016-01-01

    Both the choice made by the observer and consciousness are discussed in terms of cyclical time. That is, while the process of classical choice evolves forward in time, the quantum reference frame evolves backward in time to equate itself with the classical choice made by the observer, such that at the end, this corresponds to the case of self-observation in consciousness in linear time. This indicates that discrete and finite information is accompanied by a continuous or infinite "semantic" quantum part. In particular, the continuous semantic aspect is considered to be related to universal grammar, a suggested innate structure in languages. This paper also argues that the cyclical time model can be considered to have both small and large cycles and will also argue that at the most basic level, consciousness is strongly connected to time. This means that another aspect is added, that is, a more detailed description of the ongoing proposal of the subjective model, in which the classical is just as fundamental a...

  2. INTEGRATED DATA CAPTURING REQUIREMENTS FOR 3D SEMANTIC MODELLING OF CULTURAL HERITAGE: THE INCEPTION PROTOCOL

    Directory of Open Access Journals (Sweden)

    R. Di Giulio

    2017-02-01

    In order to face these challenges and to start solving the issue of the large amount of captured data and time-consuming processes in the production of 3D digital models, an Optimized Data Acquisition Protocol (DAP has been set up. The purpose is to guide the processes of digitization of cultural heritage, respecting needs, requirements and specificities of cultural assets.

  3. On Tokens and Signals: Bridging the Semantic Gap between Dataflow Models and Hardware Implementations

    Science.gov (United States)

    2012-06-08

    throughput, latency, or buffer sizes. In principle these metrics could be also computed at the (cycle-accurate) HW level (e.g., VHDL or Verilog programs...O. Grumberg, and D. Peled. Model Checking. MIT Press, 2000. [4] E. Clarke, D. Kroening, and K. Yorav. Behavioral consistency of C and verilog

  4. Combining generative and discriminative models for semantic segmentation of CT scans via active learning.

    Science.gov (United States)

    Iglesias, Juan Eugenio; Konukoglu, Ender; Montillo, Albert; Tu, Zhuowen; Criminisi, Antonio

    2011-01-01

    This paper presents a new supervised learning framework for the efficient recognition and segmentation of anatomical structures in 3D computed tomography (CT), with as little training data as possible. Training supervised classifiers to recognize organs within CT scans requires a large number of manually delineated exemplar 3D images, which are very expensive to obtain. In this study, we borrow ideas from the field of active learning to optimally select a minimum subset of such images that yields accurate anatomy segmentation. The main contribution of this work is in designing a combined generative-discriminative model which: i) drives optimal selection of training data; and ii) increases segmentation accuracy. The optimal training set is constructed by finding unlabeled scans which maximize the disagreement between our two complementary probabilistic models, as measured by a modified version of the Jensen-Shannon divergence. Our algorithm is assessed on a database of 196 labeled clinical CT scans with high variability in resolution, anatomy, pathologies, etc. Quantitative evaluation shows that, compared with randomly selecting the scans to annotate, our method decreases the number of training images by up to 45%. Moreover, our generative model of body shape substantially increases segmentation accuracy when compared to either using the discriminative model alone or a generic smoothness prior (e.g. via a Markov Random Field).

  5. Um modelo semântico de publicações eletrônicas | A semantic model for electronic publishing

    Directory of Open Access Journals (Sweden)

    Carlos Henrique Marcondes

    2011-03-01

    Full Text Available Resumo Publicações eletrônicas, apesar dos avanços das Tecnologias da Informação, são ainda calcados no modelo impresso. O formato textual impede que programas possam ser usados para o processamento “semântico” desses conteúdos. È porposto um modelo “semântico” de publicações cientificas eletrônicas, no qual as conclusões contidas no texto do artigo fornecidas por autores e representadas em formato “inteligível” por programas, permitindo recuperação semântica, identificação de indícios de novas descobertas científicas e de incoerências sobre este conhecimento. O modelo se baseia nos conceitos de estrutura profunda, ou semântica, da linguagem (CHOMSKY, 1975, de microestrutura, macroestrutura e superestrutura, (KINTSH, VAN DIJK, 1972, na estrutura retórica de artigos científicos (HUTCHINS, 1977, (GROSS, 1990 e nos elementos de metodologia cientifica, como problema, questão, objetivo, hipótese, experimento e conclusão. Resulta da análise de 89 artigos biomédicos. Foi desenvolvido um protótipo de sistema que implementa parcialmente o modelo. Questionários foram usados com autores para embasar o desenvolvimento do protótipo. O protótipo foi testando com pesquisadores-autores. Foram identificados quatro padrões de raciocínio e encadeamento dos elementos semânticos em artigos científicos. O modelo de conteúdo foi implementado como uma ontologia computacional. Foi desenvolvido e avaliado um protótipo de uma interface web de submissão artigos pelos autores a um sistema eletrônico de publicação de periódicos que implementa o modelo. Palavras-chave publicações eletrônicas; metodológica científica; comunicação científica; representação do conhecimento; ontologias; processamento semântico de conteúdos; e-Ciência Abstract Electronic publishing, although Information Technologies advancements, are still based in the print text model. The textual format prevents programs to semantic process

  6. Social Semantics for an Effective Enterprise

    Science.gov (United States)

    Berndt, Sarah; Doane, Mike

    2012-01-01

    An evolution of the Semantic Web, the Social Semantic Web (s2w), facilitates knowledge sharing with "useful information based on human contributions, which gets better as more people participate." The s2w reaches beyond the search box to move us from a collection of hyperlinked facts, to meaningful, real time context. When focused through the lens of Enterprise Search, the Social Semantic Web facilitates the fluid transition of meaningful business information from the source to the user. It is the confluence of human thought and computer processing structured with the iterative application of taxonomies, folksonomies, ontologies, and metadata schemas. The importance and nuances of human interaction are often deemphasized when focusing on automatic generation of semantic markup, which results in dissatisfied users and unrealized return on investment. Users consistently qualify the value of information sets through the act of selection, making them the de facto stakeholders of the Social Semantic Web. Employers are the ultimate beneficiaries of s2w utilization with a better informed, more decisive workforce; one not achieved with an IT miracle technology, but by improved human-computer interactions. Johnson Space Center Taxonomist Sarah Berndt and Mike Doane, principal owner of Term Management, LLC discuss the planning, development, and maintenance stages for components of a semantic system while emphasizing the necessity of a Social Semantic Web for the Enterprise. Identification of risks and variables associated with layering the successful implementation of a semantic system are also modeled.

  7. The relational unconscious: a core element of intersubjectivity, thirdness, and clinical process.

    Science.gov (United States)

    Gerson, Samuel

    2004-01-01

    The relational unconscious is the fundamental structuring property of each interpersonal relation; it permits, as well as constrains, modes of engagement specific to that dyad and influences individual subjective experience within the dyad. Three usages of the concept of thirdness are delineated and contrasted with the concept of the relational unconscious, which, it is suggested, has the advantage of being both consistent with existing views of unconscious processes and more directly applicable to therapeutic concerns. Enactments and intersubjective resistances are viewed as clinical manifestations of the relational unconscious, and the therapeutic action of psychoanalysis results, in part, from altering the structure of the relational unconscious that binds analysand and analyst.

  8. Semantic and Time-Dependent Expertise Profiling Models in Community-Driven Knowledge Curation Platforms

    Directory of Open Access Journals (Sweden)

    Jane Hunter

    2013-10-01

    Full Text Available Online collaboration and web-based knowledge sharing have gained momentum as major components of the Web 2.0 movement. Consequently, knowledge embedded in such platforms is no longer static and continuously evolves through experts’ micro-contributions. Traditional Information Retrieval and Social Network Analysis techniques take a document-centric approach to expertise modeling by creating a macro-perspective of knowledge embedded in large corpus of static documents. However, as knowledge in collaboration platforms changes dynamically, the traditional macro-perspective is insufficient for tracking the evolution of knowledge and expertise. Hence, Expertise Profiling is presented with major challenges in the context of dynamic and evolving knowledge. In our previous study, we proposed a comprehensive, domain-independent model for expertise profiling in the context of evolving knowledge. In this paper, we incorporate Language Modeling into our methodology to enhance the accuracy of resulting profiles. Evaluation results indicate a significant improvement in the accuracy of profiles generated by this approach. In addition, we present our profile visualization tool, Profile Explorer, which serves as a paradigm for exploring and analyzing time-dependent expertise profiles in knowledge-bases where content evolves overtime. Profile Explorer facilitates comparative analysis of evolving expertise, independent of the domain and the methodology used in creating profiles.

  9. Modelling expertise at different levels of granularity using semantic similarity measures in the context of collaborative knowledge-curation platforms.

    Science.gov (United States)

    Ziaimatin, Hasti; Groza, Tudor; Tudorache, Tania; Hunter, Jane

    2016-12-01

    Collaboration platforms provide a dynamic environment where the content is subject to ongoing evolution through expert contributions. The knowledge embedded in such platforms is not static as it evolves through incremental refinements - or micro-contributions. Such refinements provide vast resources of tacit knowledge and experience. In our previous work, we proposed and evaluated a Semantic and Time-dependent Expertise Profiling (STEP) approach for capturing expertise from micro-contributions. In this paper we extend our investigation to structured micro-contributions that emerge from an ontology engineering environment, such as the one built for developing the International Classification of Diseases (ICD) revision 11. We take advantage of the semantically related nature of these structured micro-contributions to showcase two major aspects: (i) a novel semantic similarity metric, in addition to an approach for creating bottom-up baseline expertise profiles using expertise centroids; and (ii) the application of STEP in this new environment combined with the use of the same semantic similarity measure to both compare STEP against baseline profiles, as well as to investigate the coverage of these baseline profiles by STEP.

  10. Electroencephalogram-based methodology for determining unconsciousness during depopulation.

    Science.gov (United States)

    Benson, E R; Alphin, R L; Rankin, M K; Caputo, M P; Johnson, A L

    2012-12-01

    When an avian influenza or virulent Newcastle disease outbreak occurs within commercial poultry, key steps involved in managing a fast-moving poultry disease can include: education; biosecurity; diagnostics and surveillance; quarantine; elimination of infected poultry through depopulation or culling, disposal, and disinfection; and decreasing host susceptibility. Available mass emergency depopulation procedures include whole-house gassing, partial-house gassing, containerized gassing, and water-based foam. To evaluate potential depopulation methods, it is often necessary to determine the time to the loss of consciousness (LOC) in poultry. Many current approaches to evaluating LOC are qualitative and require visual observation of the birds. This study outlines an electroencephalogram (EEG) frequency domain-based approach for determining the point at which a bird loses consciousness. In this study, commercial broilers were used to develop the methodology, and the methodology was validated with layer hens. In total, 42 data sets from 13 broilers aged 5-10 wk and 12 data sets from four spent hens (age greater than 1 yr) were collected and analyzed. A wireless EEG transmitter was surgically implanted, and each bird was monitored during individual treatment with isoflurane anesthesia. EEG data were evaluated using a frequency-based approach. The alpha/delta (A/D, alpha: 8-12 Hz, delta: 0.5-4 Hz) ratio and loss of posture (LOP) were used to determine the point at which the birds became unconscious. Unconsciousness, regardless of the method of induction, causes suppression in alpha and a rise in the delta frequency component, and this change is used to determine unconsciousness. There was no statistically significant difference between time to unconsciousness as measured by A/D ratio or LOP, and the A/D values were correlated at the times of unconsciousness. The correlation between LOP and A/D ratio indicates that the methodology is appropriate for determining

  11. A reference data model of a metadata registry preserving semantics and representations of data elements.

    Science.gov (United States)

    Löpprich, Martin; Jones, Jennifer; Meinecke, Marie-Claire; Goldschmidt, Hartmut; Knaup, Petra

    2014-01-01

    Integration and analysis of clinical data collected in multiple data sources over a long period of time is a major challenge even when data warehouses and metadata registries are used. Since most metadata registries focus on describing data elements to establish domain consistent data definition and providing item libraries, hierarchical and temporal dependencies cannot be mapped. Therefore we developed and validated a reference data model, based on ISO/IEC 11179, which allows revision and branching control of conceptually similar data elements with heterogeneous definitions and representations.

  12. [Analyzing consumer preference by using the latest semantic model for verbal protocol].

    Science.gov (United States)

    Tamari, Yuki; Takemura, Kazuhisa

    2012-02-01

    This paper examines consumers' preferences for competing brands by using a preference model of verbal protocols. Participants were 150 university students, who reported their opinions and feelings about McDonalds and Mos Burger (competing hamburger restaurants in Japan). Their verbal protocols were analyzed by using the singular value decomposition method, and the latent decision frames were estimated. The verbal protocols having a large value in the decision frames could be interpreted as showing attributes that consumers emphasize. Based on the estimated decision frames, we predicted consumers' preferences using the logistic regression analysis method. The results indicate that the decision frames projected from the verbal protocol data explained consumers' preferences effectively.

  13. The implications of conceptual critiques and empirical research on unconscious processes for psychoanalytic theory.

    Science.gov (United States)

    Eagle, Morris N

    2013-12-01

    The paper examines the implications of conceptual critiques and empirical research on psychoanalytic formulations of unconscious processes. Different conceptions of unconscious processes and states are discussed: as markers for brain states, as unformulated and not-spelled-out fleeting experiences, and as implicit knowledge. The author notes and discusses the interpersonal and interactional aspects of unconscious processes in classical theory as well as in contemporary formulations. Representative examples of empirical research on unconscious processes are presented and their implications for psychoanalytic conceptions are examined. The author then discusses the conception of unconscious processes that emerges in view of conceptual critiques, empirical research findings, and clinical phenomena. Finally, the emphasis of both early and late Freudian theory on integration of various aspects of the personality rather than (or at least in addition to) on conscious versus unconscious is noted, and various ways of understanding what it means to make the unconscious conscious are discussed.

  14. Chinese Statistical Parser Based on Semantic Dependencies

    Institute of Scientific and Technical Information of China (English)

    李涓子; 王作英

    2002-01-01

    A new tagging method is presented to build a Chinese semantic corpus. The method characterizes the sentence meaning as a linear sequence of dependency relationships which are the semantic or syntactic relationships between words in the sentence. This representation method is used to build a Chinese statistical parser model to understand the sentence meaning. Specific experiments on automatic telephone switchboard conversations show that the proposed parser has a precision of 80%. This work provides a foundation for building a large-scale Chinese semantic corpus and for research on understanding modeling of the Chinese language.

  15. When the zebra loses its stripes: Semantic priming in early Alzheimer's disease and semantic dementia.

    Science.gov (United States)

    Laisney, Mickaël; Giffard, Bénédicte; Belliard, Serge; de la Sayette, Vincent; Desgranges, Béatrice; Eustache, Francis

    2011-01-01

    Patients suffering from Alzheimer's disease (AD) or semantic dementia (SD) both exhibit deficits on explicit tasks of semantic memory. Semantic priming (SP) paradigms provide a very pure and precise implicit measurement of semantic memory impairment, and a previous study of AD (Giffard et al., 2002) using one such paradigm revealed that AD patients in the initial stages of semantic deterioration presented an abnormally large priming effect (hyperpriming) in a category-coordinate condition, compared with controls. This astonishing phenomenon could stem from the specific loss of distinctive attributes that make it possible to distinguish between semantically close concepts, while attributes shared by different concepts belonging to a given category remain intact. To test this hypothesis and compare the degradation of semantic memory in AD and SD, we devised an SP paradigm in which word pairs had either a category-coordinate or an attribute relationship. In accordance with our hypothesis, we distinguished between shared (duck-feathers) versus distinctive attributes (zebra-stripes) and close (tiger-lion) versus distant (elephant-crocodile) category-coordinate relationships. This paradigm, together with two explicit semantic memory tasks (picture-naming and categorization), was administered to 16 AD and 8 SD patients and 30 elderly control subjects. The AD patients, at the very beginning of semantic deterioration, only displayed impaired SP effects in the distinctive attribute condition, whereas in the SD patients, who had more severe semantic deterioration, we observed an extinction of SP effects in both attribute conditions. In SD patients, we also report hyperpriming effects in both category-coordinate conditions. Our results suggest that semantic memory impairment follows the same course in both AD and SD, affecting distinctive attributes first and then shared ones. In accordance with distributed models of semantic memory, the loss of distinctive attributes leads

  16. An Intelligent Semantic E-Learning Framework Using Context-Aware Semantic Web Technologies

    Science.gov (United States)

    Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko

    2006-01-01

    Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…

  17. An Intelligent Semantic E-Learning Framework Using Context-Aware Semantic Web Technologies

    Science.gov (United States)

    Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko

    2006-01-01

    Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…

  18. Metamodeling of Semantic Web Enabled Multiagent Systems

    NARCIS (Netherlands)

    Kardas, G.; Göknil, Arda; Dikenelli, O.; Topaloglu, N.Y.; Weyns, D.; Holvoet, T.

    2006-01-01

    Several agent researchers are currently studying agent modeling and they propose dierent architectural metamodels for developing Multiagent Systems (MAS) according to specic agent development methodologies. When support for Semantic Web technology and its related constructs are considered, agent

  19. Semantic foundation for preferential description logics

    CSIR Research Space (South Africa)

    Britz, K

    2011-12-01

    Full Text Available that they refer to as concept models. They present representation results for the description logic ALC for both preferential and rational consequence relations. They argue that their semantics pave the way for extending preferential and rational consequence...

  20. Geospatial Semantics and the Semantic Web

    CERN Document Server

    Ashish, Naveen

    2011-01-01

    The availability of geographic and geospatial information and services, especially on the open Web has become abundant in the last several years with the proliferation of online maps, geo-coding services, geospatial Web services and geospatially enabled applications. The need for geospatial reasoning has significantly increased in many everyday applications including personal digital assistants, Web search applications, local aware mobile services, specialized systems for emergency response, medical triaging, intelligence analysis and more. Geospatial Semantics and the Semantic Web: Foundation

  1. Winnicott on Jung: destruction, creativity and the unrepressed unconscious.

    Science.gov (United States)

    Meredith-Owen, William

    2011-02-01

    This paper considers Winnicott's critique of Jung, principally expressed in his review of Memories, Dreams, Reflections, which asserts that Jung's creative contribution to analysis was constrained by his failure to integrate his 'primitive destructive impulses', subsequent to inadequate early containment. It is argued that although Winnicott's diagnosis illuminates Jung's shadow, particularly his constraints vis-à-vis the repressed Freudian unconscious, it fails to appreciate the efficacy of the compensatory containment Jung found in the collective unconscious. This enigmatic relationship between destruction and creativity-so central to late Winnicott-is illuminated by Matte Blanco's bi-logic, and further explored in relation to William Blake. Winnicott's personal resolution through his Jung-inspired 'splitting headache' dream of destruction-previously considered in this Journal by Morey (2005) and Sedgwick (2008)-is given particular attention.

  2. Gist memory in the unconscious-thought effect.

    Science.gov (United States)

    Abadie, Marlène; Waroquier, Laurent; Terrier, Patrice

    2013-07-01

    The unconscious-thought effect (UTE) occurs when people are better able to make complex decisions after a period of distraction rather than immediately or after a period of conscious deliberation. This finding has often been interpreted as evidence of unconscious thinking. In two experiments, we provided the first evidence that the UTE is accompanied by enhanced memory for the gist of decision-relevant attributes and demonstrated that the cognitive demands of a distraction task moderate its effect on decision making and gist memory. It was only following a low-demand distraction task that participants chose the best alternative more often and displayed enhanced gist memory for decision-relevant attributes. These findings suggest that the UTE occurs only if cognitive resources are available and that it is accompanied by enhanced organization of information in memory, as shown by the increase in gist memory.

  3. Can Magic Deception Be Detected at an Unconscious Level?

    Science.gov (United States)

    Kawakami, Naoaki; Miura, Emi

    2017-06-01

    Magicians present magic tricks that seem to defy the laws of nature, entertaining us by manipulating our attention, perception, and awareness. However, although we are unaware of these manipulations at the level of conscious experience, we may still be aware of them at an unconscious level. We examined whether people can detect a magic deception outside of conscious awareness using an indirect measure. In the present study, we used the Cups and Balls magic trick, which is the transposition of balls between two cups. Participants viewed a video of the magic performance and were required to indicate the position of the ball in a direct self-report measure and completed the Single Category Implicit Association Test as an indirect measure. The results showed that the indirect measure of trick detection had higher accuracy than the direct measure. Our results suggest that while humans cannot consciously detect the magic deception, they do have a sense of what occurred on an unconscious level.

  4. The effects of repeated idea elaboration on unconscious plagiarism.

    Science.gov (United States)

    Stark, Louisa-Jayne; Perfect, Timothy J

    2008-01-01

    Unconscious plagiarism occurs in a recall task when someone presents someone else's idea as his or her own. Recent research has shown that the likelihood of such an error is inflated if the idea is improved during the retention interval, but not if it is imagined. Here, we explore the effects of repeating the elaboration phase during the retention interval. Participants in a group first generated alternate uses to common objects before elaborating the ideas either by imagining them or by improving them. This elaboration phase occurred once, twice, or not at all. Later, they attempted to recall their original ideas and generate new ideas. Repeated imagery did not inflate unconscious plagiarism on either task. In contrast, repeating the improvement phase increased plagiarism to dramatically high levels in the recall task. The latter effect might be particularly pertinent to real-world cases of plagiarism in which the ideas under dispute have been the subject of creative development over many occasions.

  5. A journey into chaos: Creativity and the unconscious

    Directory of Open Access Journals (Sweden)

    Andreasen Nancy

    2011-01-01

    Full Text Available The capacity to be creative, to produce new concepts, ideas, inventions, objects or art, is perhaps the most important attribute of the human brain. We know very little, however, about the nature of creativity or its neural basis. Some important questions include how should we define creativity? How is it related (or unrelated to high intelligence? What psychological processes or environmental circumstance cause creative insights to occur? How is it related to conscious and unconscious processes? What is happening at the neural level during moments of creativity? How is it related to health or illness, and especially mental illness? This paper will review introspective accounts from highly creative individuals. These accounts suggest that unconscious processes play an important role in achieving creative insights. Neuroimaging studies of the brain during "REST" (random episodic silent thought, also referred to as the default state suggest that the association cortices are the primary areas that are active during this state and that the brain is spontaneously reorganising and acting as a self-organising system. Neuroimaging studies also suggest that highly creative individuals have more intense activity in association cortices when performing tasks that challenge them to "make associations." Studies of creative individuals also indicate that they have a higher rate of mental illness than a noncreative comparison group, as well as a higher rate of both creativity and mental illness in their first-degree relatives. This raises interesting questions about the relationship between the nature of the unconscious, the unconscious and the predisposition to both creativity and mental illness.

  6. Introductory note on Emergent Unconscious Knowledge Networks (Asygnodic Networks

    Directory of Open Access Journals (Sweden)

    Henry Bakis

    2016-05-01

    Full Text Available This note introduces the following paper on the concept of Emergent Unconscious Knowledge Networks (Asygnodic Networks created by E. Roche and M. Blaine. The concept of asyngnosis explains a large number of diverse phenomena involving organizations, groups and decision making. It will present the genesis and definition of Asygnodic Networks and will focus on how they raise challenges to traditional theories of decision making and emerging social networks.

  7. Unconsciously Triggered Emotional Conflict by Emotional Facial Expressions

    OpenAIRE

    Jun Jiang; Kira Bailey; Antao Chen; Qian Cui; Qinglin Zhang

    2013-01-01

    The present study investigated whether emotional conflict and emotional conflict adaptation could be triggered by unconscious emotional information as assessed in a backward-masked affective priming task. Participants were instructed to identify the valence of a face (e.g., happy or sad) preceded by a masked happy or sad face. The results of two experiments revealed the emotional conflict effect but no emotional conflict adaptation effect. This demonstrates that emotional conflict can be trig...

  8. Creativity—the unconscious foundations of the incubation period

    Science.gov (United States)

    Ritter, Simone M.; Dijksterhuis, Ap

    2014-01-01

    Creativity is one of the most important assets we have to navigate through the fast changing world of the 21st century. Anecdotal accounts of creative individuals suggest that oftentimes, creative discoveries result from a process whereby initial conscious thought is followed by a period during which one refrains from task-related conscious thought. For example, one may spend an embarrassing amount of time thinking about a problem when the solution suddenly pops into consciousness while taking a shower. Not only creative individuals but also traditional theories of creativity have put a lot of emphasis on this incubation stage in creative thinking. The aim of the present article is twofold. First, an overview of the domain of incubation and creativity is provided by reviewing and discussing studies on incubation, mind-wandering, and sleep. Second, the causes of incubation effects are discussed. Previously, little attention has been paid to the causes of incubation effects and most findings do not really speak to whether the effects should be explained by unconscious processes or merely by consequences of a period of distraction. In the latter case, there is no need to assume active unconscious processes. The findings discussed in the current article support the idea that it is not merely the absence of conscious thought that drives incubation effects, but that during an incubation period unconscious processes contribute to creative thinking. Finally, practical implications and directions for future research will be discussed. PMID:24782742

  9. Memory Reconsolidation, Trace Reassociation and the Freudian Unconscious

    KAUST Repository

    Alberini, Cristina M.

    2013-01-01

    Memory traces can become labile when retrieved. This has intrigued not only neuroscientists, psychologists, and cognitive scientists but also clinicians who work with memories to treat psychopathologies, such as psychotherapists and psychoanalysts. Psychotherapists and psychoanalysts question whether the treatments based on re-evoking memories engage reconsolidation and how treatments may work and be effective with reconsolidation processes. However, reconsolidation may not easily occur in older or very strong, consolidated memories, which are, in fact, those deeply rooted in most maladaptive behaviors, and most animal reconsolidation studies have been done on memories that are only days old. Hence, the questions deepen into many more complex layers, asking the following: How are memories formed and retrieved and in part become unconscious? How does retrieval in a therapeutic setting change those traces? Here, we propose some hypotheses based on neuroscientific knowledge to begin explaining the bases of Freudian unconscious and speculate on how memory traces and Freudian unconscious intersect. © 2013 Elsevier Inc. All rights reserved.

  10. Effects of unconscious processing on implicit memory for fearful faces.

    Directory of Open Access Journals (Sweden)

    Jiongjiong Yang

    Full Text Available Emotional stimuli can be processed even when participants perceive them without conscious awareness, but the extent to which unconsciously processed emotional stimuli influence implicit memory after short and long delays is not fully understood. We addressed this issue by measuring a subliminal affective priming effect in Experiment 1 and a long-term priming effect in Experiment 2. In Experiment 1, a flashed fearful or neutral face masked by a scrambled face was presented three times, then a target face (either fearful or neutral was presented and participants were asked to make a fearful/neutral judgment. We found that, relative to a neutral prime face (neutral-fear face, a fearful prime face speeded up participants' reaction to a fearful target (fear-fear face, when they were not aware of the masked prime face. But this response pattern did not apply to the neutral target. In Experiment 2, participants were first presented with a masked faces six times during encoding. Three minutes later, they were asked to make a fearful/neutral judgment for the same face with congruent expression, the same face with incongruent expression or a new face. Participants showed a significant priming effect for the fearful faces but not for the neutral faces, regardless of their awareness of the masked faces during encoding. These results provided evidence that unconsciously processed stimuli could enhance emotional memory after both short and long delays. It indicates that emotion can enhance memory processing whether the stimuli are encoded consciously or unconsciously.

  11. A Semantic Model Analysis for Cyber-Physical Systems%信息物理融合系统语义模型分析

    Institute of Scientific and Technical Information of China (English)

    程奇华; 张立臣

    2016-01-01

    针对信息物理融合系统( Cyber-Physical Systems ,CPS)需要提供合理的语义规范来保证信息和物理两个不同世界的同步,提出了CPS系统的语义模型方案,引入了( WoT)物维网框架,分析和介绍了物维网的框架结构特点。在此基础上提出了基于物维网框架的CPS系统架构,结合语义模型方案在分析系统需要解决的语义问题时分别给出相应的思路加以阐述,为进一步解决CPS系统语义模型问题提供了参考。%Cyber-Physical Systems need to transcend the boundary between the Cyber world and the phys -ical world by providing integrated models addressing issues simultaneously from both worlds .A semantic model scheme for CPS systems is proposed , with the ( WoT) Web of Things introduced , the architecture characteristics of WoT presented and analyzed , the Cyber physical system framework based on WoT put forward, and then the solution to the semantic problems when analyzing the CPS is proposed in associa-tion with a semantic model scheme .

  12. Towards semantic web mining

    OpenAIRE

    Berendt, Bettina; Hotho, Andreas; Stumme, Gerd

    2002-01-01

    Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

  13. 具有小世界特性的语义覆盖网络模型%Semantic Overlay Network Model with Small-world Features

    Institute of Scientific and Technical Information of China (English)

    刘浩; 贺文华

    2012-01-01

    The topology structure of P2P overlay network decides its system performance. However, the existing P2P overlay network models do not take clustering and symmetry of nodes into account, and support only precise resource locating scheme. A Semantic Overlay Network(SON) model with small-world features is proposed in the paper. It adopts the mechanism of distinctly grouping, semantic search edge and Group Flooding(GF). Results of analysis and experiment show that this model provides better network performance and higher search efficiency than the existing overlay network models such as Chord and CAN. Furthermore, it has the querying capability of multi-matching results.%目前大多数的结构化覆盖网络模型忽略节点的聚类性和对称性,并且只能提供精确的资源查询机制.为此,给出一种具有小世界特性的语义覆盖网络模型.该模型采用显式分区机制、语义搜索链和组扩散机制.分析和实验结果表明,该模型比现有的覆盖网络模型Chord和CAN具有更好的网络性能,搜索效率更高,且具有较好的多匹配结果查询能力.

  14. Semantic web for dummies

    CERN Document Server

    Pollock, Jeffrey T

    2009-01-01

    Semantic Web technology is already changing how we interact with data on the Web. By connecting random information on the Internet in new ways, Web 3.0, as it is sometimes called, represents an exciting online evolution. Whether you're a consumer doing research online, a business owner who wants to offer your customers the most useful Web site, or an IT manager eager to understand Semantic Web solutions, Semantic Web For Dummies is the place to start! It will help you:Know how the typical Internet user will recognize the effects of the Semantic WebExplore all the benefits the data Web offers t

  15. Applied Semantic Web Technologies

    CERN Document Server

    Sugumaran, Vijayan

    2011-01-01

    The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case studies to illustrate the history, current state, and future direction of the semantic web. It maintains an emphasis on real-world applications and examines the technical and practical issues related to the use of semantic technologies in intelligent information management. The book starts with

  16. Semantic Role Labeling

    CERN Document Server

    Palmer, Martha; Xue, Nianwen

    2011-01-01

    This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applyin

  17. Unconscious Bias - The Focus of the University of Arizona's NSF ADVANCE Award

    Science.gov (United States)

    Richardson, R. M.; Tolbert, L. P.; Vaillancourt, A. M.; Leahey, E. E.; Rodrigues, H. A.

    2011-12-01

    The University of Arizona ADVANCE program focuses on unconscious bias and ways to minimize its negative impact on the academy. Unconscious bias involves social stereotypes about certain groups of people that individuals form outside their own consciousness. Overwhelming scientific evidence supports that unconscious bias pervasively influences hiring, evaluation, selection of leaders, and even daily interactions. UA ADVANCE has a three-tiered strategy for improving the representation and advancement of women faculty in STEM departments that includes: 1) fostering the scientific and leadership careers of women; 2) promoting responsibility for gender equity among faculty and administrators; and 3) developing management software useful for promoting more equitable decision-making. This strategy has brought together a diverse array of faculty, staff, and faculty administrators working toward a common goal of promoting faculty diversity and the equitable treatment of faculty. Among the most effective aspects of our programming and products have been: 1) department head and search committee trainings; 2) monthly career discussion series events, and; 3) a salary modeling tool for department heads and deans. One key to the success of these efforts has been collaborations with campus partners, including the Office of the Associate Provost for Faculty Affairs, the Office of the Special Advisor to the President for Diversity and Inclusion, and the Division of Human Resources. A second key has been a commitment to the use of research-based material and tools, presented by respected colleagues, in small workshop-style settings that foster discussion. This has enabled us to extend our reach to more STEM departments and secure broader support in creating a more equitable environment for women faculty. Nearing the close of our grant period, our efforts are now concentrated on institutionalizing success. UA ADVANCE needs continued support from an increasingly tasked administration

  18. Local Cultural Characteristics Database Semantic Retrieval Model Building%地方文化特色数据库语义检索模型构建

    Institute of Scientific and Technical Information of China (English)

    王智刚

    2015-01-01

    Data reflect local cultural characteristics unique to a particular area of cultural information resources, information and intel igence departments have established numerous local characteristics of the resource database. In this paper, the author of the Ministry of Education calis center Phase III Database"Wudang Culture Database", for example, the use of semantic web technology which, by analysis of the semantic gateway key technology to build domain ontology instance, proposed a semantic retrieval technology based on the characteristics of database retrieval model, the final model to achieve the key technologies specifical y addressed.%地方文化特色数据反映了某一特定区域独有的文化信息资源,众多信息情报部门陆续建立富有地方特色的资源数据库。本文中笔者以教育部calis中心三期特色数据库“武当文化特色数据库”建设为例,将语义网技术运用其中,通过分析语义网关键技术,构建领域本体实例,提出了一个基于语义检索技术的特色数据库检索模型,最后对模型实现中的关键技术做了具体阐述。

  19. P2P Organization Model for Service Clustering Based on Semantic Tree%语义聚集的P2P服务组织模型

    Institute of Scientific and Technical Information of China (English)

    兰明敬

    2013-01-01

    Aiming at solving problems existing in centralized and traditional distributed service discovery mechanism, a new service organization model was proposed. It identifies service by semantic string that comes from a semantic tree based on services functions in the service system. With an improved algorithm based on Kademlia, the model organizes all the services to form a P2P overlay network in which nodes are gathered together according to the semantic tree and can be found using semantic strings. This model has solved the single point failure and bottleneck problem, can find and invoke service without service registry. It is highly scalable, and supports more high-level applications such as dynamic scheduling, fuzzy search. The approach has been successfully applied in a service computing platform,which has already been verified and well operating nearly a year.%针对集中式和传统分布式服务注册与发现机制中存在的问题,提出一种新的服务组织模型.该模型归纳服务系统中各服务功能来建立语义树,依据此语义树产生的语义串对服务进行标识,采用改进的Kademlia算法将服务组织起来,形成按语义树聚集的、使用语义串进行结点发现的P2P覆盖网络,从而解决了单点失效、性能瓶颈问题,实现了不依赖注册中心和注册操作的、自发现的服务调用.它具有高可扩展性,能够支撑动态调度、模糊搜索等应用形式,已在某服务计算平台中成功应用,该平台已通过验收并连续运行近一年.

  20. Lexical Semantics and Irregular Inflection

    Science.gov (United States)

    Huang, Yi Ting; Pinker, Steven

    2010-01-01

    Whether a word has an irregular inflection does not depend on its sound alone: compare lie-lay (recline) and lie-lied (prevaricate). Theories of morphology, particularly connectionist and symbolic models, disagree on which nonphonological factors are responsible. We test four possibilities: (1) Lexical effects, in which two lemmas differ in whether they specify an irregular form; (2) Semantic effects, in which the semantic features of a word become associated with regular or irregular forms; (3) Morphological structure effects, in which a word with a headless structure (e.g., a verb derived from a noun) blocks access to a stored irregular form; (4) Compositionality effects, in which the stored combination of an irregular word’s meaning (e.g., the verb’s inherent aspect) with the meaning of the inflection (e.g., pastness) doesn’t readily transfer to new senses with different combinations of such meanings. In four experiments, speakers were presented with existing and novel verbs and asked to rate their past-tense forms, semantic similarities, grammatical structure, and aspectual similarities. We found (1) an interaction between semantic and phonological similarity, coinciding with reported strategies of analogizing to known verbs and implicating lexical effects; (2) weak and inconsistent effects of semantic similarity; (3) robust effects of morphological structure, and (4) robust effects of aspectual compositionality. Results are consistent with theories of language that invoke lexical entries and morphological structure, and which differentiate the mode of storage of regular and irregular verbs. They also suggest how psycholinguistic processes have shaped vocabulary structure over history. PMID:21151703

  1. Semantic Solutions to Program Analysis Problems

    CERN Document Server

    Tobin-Hochstadt, Sam

    2011-01-01

    Problems in program analysis can be solved by developing novel program semantics and deriving abstractions conventionally. For over thirty years, higher-order program analysis has been sold as a hard problem. Its solutions have required ingenuity and complex models of approximation. We claim that this difficulty is due to premature focus on abstraction and propose a new approach that emphasizes semantics. Its simplicity enables new analyses that are beyond the current state of the art.

  2. Bibliographic information organization in the semantic web

    CERN Document Server

    Willer, Mirna

    2013-01-01

    New technologies will underpin the future generation of library catalogues. To facilitate their role providing information, serving users, and fulfilling their mission as cultural heritage and memory institutions, libraries must take a technological leap; their standards and services must be transformed to those of the Semantic Web. Bibliographic Information Organization in the Semantic Web explores the technologies that may power future library catalogues, and argues the necessity of such a leap. The text introduces international bibliographic standards and models, and fundamental concepts in

  3. Linguistic Semantics: An Introduction.

    Science.gov (United States)

    Lyons, John

    The book, designed as a textbook for introductory study of semantics within college-level linguistics, focuses on the study of meaning as it is systematically encoded in the vocabulary and grammar of natural languages. The term "semantics" is presumed here to include pragmatics. An introductory section explains fundamental theoretical and…

  4. Semantics of Statebuilding

    DEFF Research Database (Denmark)

    Grasten, Maj Lervad

    2016-01-01

    Book review of: Semantics of Statebuilding: Language, Meanings & Sovereignty / (eds) Nicolas Lemay-Hébert, Nicholas Onuf, Vojin Rakić, Petar Bojanić. Abingdon: Routledge, 2014. 200 pp.......Book review of: Semantics of Statebuilding: Language, Meanings & Sovereignty / (eds) Nicolas Lemay-Hébert, Nicholas Onuf, Vojin Rakić, Petar Bojanić. Abingdon: Routledge, 2014. 200 pp....

  5. The Semantic Learning Organization

    Science.gov (United States)

    Sicilia, Miguel-Angel; Lytras, Miltiadis D.

    2005-01-01

    Purpose: The aim of this paper is introducing the concept of a "semantic learning organization" (SLO) as an extension of the concept of "learning organization" in the technological domain. Design/methodology/approach: The paper takes existing definitions and conceptualizations of both learning organizations and Semantic Web technology to develop…

  6. Communication: General Semantics Perspectives.

    Science.gov (United States)

    Thayer, Lee, Ed.

    This book contains the edited papers from the eleventh International Conference on General Semantics, titled "A Search for Relevance." The conference questioned, as a central theme, the relevance of general semantics in a world of wars and human misery. Reacting to a fundamental Korzybski-ian principle that man's view of reality is distorted by…

  7. Pragmatics for formal semantics

    DEFF Research Database (Denmark)

    Danvy, Olivier

    2011-01-01

    This tech talk describes how to write and how to inter-derive formal semantics for sequential programming languages. The progress reported here is (1) concrete guidelines to write each formal semantics to alleviate their proof obligations, and (2) simple calculational tools to obtain a formal...

  8. Semantic Sensor Web

    Science.gov (United States)

    Sheth, A.; Henson, C.; Thirunarayan, K.

    2008-12-01

    Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and situations. The lack of integration and communication between these networks, however, often isolates important data streams and intensifies the existing problem of too much data and not enough knowledge. With a view to addressing this problem, the Semantic Sensor Web (SSW) [1] proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information essential for situational knowledge. Kno.e.sis Center's approach to SSW is an evolutionary one. It adds semantic annotations to the existing standard sensor languages of the Sensor Web Enablement (SWE) defined by OGC. These annotations enhance primarily syntactic XML-based descriptions in OGC's SWE languages with microformats, and W3C's Semantic Web languages- RDF and OWL. In association with semantic annotation and semantic web capabilities including ontologies and rules, SSW supports interoperability, analysis and reasoning over heterogeneous multi-modal sensor data. In this presentation, we will also demonstrate a mashup with support for complex spatio-temporal-thematic queries [2] and semantic analysis that utilize semantic annotations, multiple ontologies and rules. It uses existing services (e.g., GoogleMap) and semantics enhanced SWE's Sensor Observation Service (SOS) over weather and road condition data from various sensors that are part of Ohio's transportation network. Our upcoming plans are to demonstrate end to end (heterogeneous sensor to application) semantics support and study scalability of SSW involving thousands of sensors to about a billion triples. Keywords: Semantic Sensor Web, Spatiotemporal thematic queries, Semantic Web Enablement, Sensor Observation Service [1] Amit Sheth, Cory Henson, Satya

  9. Order Theoretical Semantic Recommendation

    Energy Technology Data Exchange (ETDEWEB)

    Joslyn, Cliff A.; Hogan, Emilie A.; Paulson, Patrick R.; Peterson, Elena S.; Stephan, Eric G.; Thomas, Dennis G.

    2013-07-23

    Mathematical concepts of order and ordering relations play multiple roles in semantic technologies. Discrete totally ordered data characterize both input streams and top-k rank-ordered recommendations and query output, while temporal attributes establish numerical total orders, either over time points or in the more complex case of startend temporal intervals. But also of note are the fully partially ordered data, including both lattices and non-lattices, which actually dominate the semantic strcuture of ontological systems. Scalar semantic similarities over partially-ordered semantic data are traditionally used to return rank-ordered recommendations, but these require complementation with true metrics available over partially ordered sets. In this paper we report on our work in the foundations of partial order measurement in ontologies, with application to top-k semantic recommendation in workflows.

  10. On Quantifying Semantic Information

    Directory of Open Access Journals (Sweden)

    Simon D’Alfonso

    2011-01-01

    Full Text Available The purpose of this paper is to look at some existing methods of semantic information quantification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap’s theory of semantic information before going on to look at Floridi’s theory of strongly semantic information. The latter then serves to initiate an in-depth investigation into the idea of utilising the notion of truthlikeness to quantify semantic information. Firstly, a couple of approaches to measure truthlikeness are drawn from the literature and explored, with a focus on their applicability to semantic information quantification. Secondly, a similar but new approach to measure truthlikeness/information is presented and some supplementary points are made.

  11. Analytic mind use and interpsychic communication: driving force in analytic technique, pathway to unconscious mental life.

    Science.gov (United States)

    Diamond, Michael J

    2014-07-01

    Developed from established psychoanalytic knowledge among different psychoanalytic cultures concerning unconscious interpsychic communication, analysts' use of their receptive mental experience--their analytic mind use, including the somatic, unconscious, and less accessible derivatives--represents a significant investigative road to patients' unconscious mental life, particularly with poorly symbolized mental states. The author expands upon this tradition, exploring what happens when patients unconsciously experience and identify with the analyst's psychic functioning. The technical implications of the analyst's "instrument" are described, including the analyst's ego regression, creation of inner space, taking mind as object, bearing uncertainty and intense affect, and self-analysis. Brief case vignettes illustrate the structure and obstacles to this work.

  12. Semantic Web Technologies for the Adaptive Web

    DEFF Research Database (Denmark)

    Dolog, Peter

    2007-01-01

    Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a foundation for adaptive web technologies as well. This chapter describes how ontologies shared on the semantic web...... means for deciding which links to show, annotate, hide, generate, and reorder. The semantic web technologies provide means to formalize the domain ontologies and metadata created from them. The formalization enables reasoning for personalization decisions. This chapter describes which components...... are crucial to be formalized by the semantic web ontologies for adaptive web. We use examples from an eLearning domain to illustrate the principles which are broadly applicable to any information domain on the web....

  13. Fuzzy knowledge management for the semantic web

    CERN Document Server

    Ma, Zongmin; Yan, Li; Cheng, Jingwei

    2014-01-01

    This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The topics of this book include fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology knowledge bases, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy Semantic Web ontology mapping, and fuzzy rules and their interchange in the Semantic Web. The book aims to provide a single record of current research in the fuzzy knowledge representation and reasoning for the Semantic Web. The objective of the book is to provide the state of the art information to researchers, practitioners and graduate students of the Web intelligence and at the same time serve the knowledge and data engineering professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

  14. A Unified Semantic Framework for the description of assistive technologies.

    Science.gov (United States)

    Konstadinidou, Aggeliki; Kaklanis, Nikolaos; Votis, Konstantinos; Tzovaras, Dimitrios

    2015-01-01

    This paper presents the Semantic Alignment Tool, a unified, classified, ontological framework, for the description of assistive solutions that comprises information from different sources automatically. The Semantic Alignment Tool is a component of the Cloud4All/GPII infrastructure that enables users to add and/or modify descriptions of assistive technologies and align their specific settings with similar settings in an ontological model based on ISO 9999. The current work presents the interaction of the Semantic Alignment Tool with external sources that contain descriptions and metadata for Assistive Technologies (ATs) in order to achieve their synchronization in the same semantic model.

  15. A Semantic Graph Query Language

    Energy Technology Data Exchange (ETDEWEB)

    Kaplan, I L

    2006-10-16

    Semantic graphs can be used to organize large amounts of information from a number of sources into one unified structure. A semantic query language provides a foundation for extracting information from the semantic graph. The graph query language described here provides a simple, powerful method for querying semantic graphs.

  16. Indeterminacy, linguistic semantics and fuzzy logic

    Energy Technology Data Exchange (ETDEWEB)

    Novak, V. [Univ. of Ostrava (Czech Republic)

    1996-12-31

    In this paper, we discuss the indeterminacy phenomenon which has two distinguished faces, namely uncertainty modeled especially by the probability theory and vagueness, modeled by fuzzy logic. Other important mathematical model of vagueness is provided by the Alternative Set Theory. We focus on some of the basic concepts of these theories in connection with mathematical modeling of the linguistic semantics.

  17. Integrated data management for clinical studies: automatic transformation of data models with semantic annotations for principal investigators, data managers and statisticians.

    Directory of Open Access Journals (Sweden)

    Martin Dugas

    Full Text Available Design, execution and analysis of clinical studies involves several stakeholders with different professional backgrounds. Typically, principle investigators are familiar with standard office tools, data managers apply electronic data capture (EDC systems and statisticians work with statistics software. Case report forms (CRFs specify the data model of study subjects, evolve over time and consist of hundreds to thousands of data items per study. To avoid erroneous manual transformation work, a converting tool for different representations of study data models was designed. It can convert between office format, EDC and statistics format. In addition, it supports semantic annotations, which enable precise definitions for data items. A reference implementation is available as open source package ODMconverter at http://cran.r-project.org.

  18. Integrated data management for clinical studies: automatic transformation of data models with semantic annotations for principal investigators, data managers and statisticians.

    Science.gov (United States)

    Dugas, Martin; Dugas-Breit, Susanne

    2014-01-01

    Design, execution and analysis of clinical studies involves several stakeholders with different professional backgrounds. Typically, principle investigators are familiar with standard office tools, data managers apply electronic data capture (EDC) systems and statisticians work with statistics software. Case report forms (CRFs) specify the data model of study subjects, evolve over time and consist of hundreds to thousands of data items per study. To avoid erroneous manual transformation work, a converting tool for different representations of study data models was designed. It can convert between office format, EDC and statistics format. In addition, it supports semantic annotations, which enable precise definitions for data items. A reference implementation is available as open source package ODMconverter at http://cran.r-project.org.

  19. The drawing of an absence: efficacy and research applications of semantic digital models. Sanmicheli architecture and Veronese, Zelotti and Canera frescoes at villa Soranzo in Treville near Treviso

    Directory of Open Access Journals (Sweden)

    GIOVANNI ASMUNDO

    2015-01-01

    Full Text Available The construction of the digital model and its mappingare conceived and used as an instrument to study andwork on reconstruction in dialogue with historical research,asking new questions and allowing accuratechecks, In continuity with the existing literature aboutthe semantic digital modell this tool is proposed as acase study and protototype for the creation of modelsconstructed with different materials and in dearth ofinformation, starting from the drawings, already anasstraction, the tool is able to simulate an architecturalspace, as well as to reconstruct for the first timethe lost illusionistic architecture, which has intimatelyconnected with the real one in a tight continuity betweeninterior and exterior, conceived by the architect, thepainters and the customer with a strong Renaissanceintention

  20. Semantic annotation of medical images

    Science.gov (United States)

    Seifert, Sascha; Kelm, Michael; Moeller, Manuel; Mukherjee, Saikat; Cavallaro, Alexander; Huber, Martin; Comaniciu, Dorin

    2010-03-01

    Diagnosis and treatment planning for patients can be significantly improved by comparing with clinical images of other patients with similar anatomical and pathological characteristics. This requires the images to be annotated using common vocabulary from clinical ontologies. Current approaches to such annotation are typically manual, consuming extensive clinician time, and cannot be scaled to large amounts of imaging data in hospitals. On the other hand, automated image analysis while being very scalable do not leverage standardized semantics and thus cannot be used across specific applications. In our work, we describe an automated and context-sensitive workflow based on an image parsing system complemented by an ontology-based context-sensitive annotation tool. An unique characteristic of our framework is that it brings together the diverse paradigms of machine learning based image analysis and ontology based modeling for accurate and scalable semantic image annotation.