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Sample records for model unconscious semantic

  1. The enacted unconscious: a neuropsychological model of unconscious processes.

    Science.gov (United States)

    Ginot, Efrat

    2017-10-01

    Integrating neuropsychology with psychoanalytic thinking and experience, this paper offers a new view of the unconscious that veers away from more traditional conceptualizations. Rather, it emphasizes the ever-present influence of ongoing unconscious processes on much of our behaviors and mental states. Importantly, this new understanding is based on the functional unity of the brain/mind. © 2017 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals, Inc. on behalf of New York Academy of Sciences.

  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. 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.

  4. Semantic Web status model

    CSIR Research Space (South Africa)

    Gerber, AJ

    2006-06-01

    Full Text Available by researchers and practitioners, spanning a vast landscape of different fields, technologies, concepts and application areas. Furthermore, there is confusion with regards to the current status of the enabling technologies envisioned to realise the Semantic Web...

  5. 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

  6. 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

  7. Quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, Erwin Johan Albert

    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

  8. Model for Semantically Rich Point Cloud Data

    Science.gov (United States)

    Poux, F.; Neuville, R.; Hallot, P.; Billen, R.

    2017-10-01

    This paper proposes an interoperable model for managing high dimensional point clouds while integrating semantics. Point clouds from sensors are a direct source of information physically describing a 3D state of the recorded environment. As such, they are an exhaustive representation of the real world at every scale: 3D reality-based spatial data. Their generation is increasingly fast but processing routines and data models lack of knowledge to reason from information extraction rather than interpretation. The enhanced smart point cloud developed model allows to bring intelligence to point clouds via 3 connected meta-models while linking available knowledge and classification procedures that permits semantic injection. Interoperability drives the model adaptation to potentially many applications through specialized domain ontologies. A first prototype is implemented in Python and PostgreSQL database and allows to combine semantic and spatial concepts for basic hybrid queries on different point clouds.

  9. MODEL FOR SEMANTICALLY RICH POINT CLOUD DATA

    Directory of Open Access Journals (Sweden)

    F. Poux

    2017-10-01

    Full Text Available This paper proposes an interoperable model for managing high dimensional point clouds while integrating semantics. Point clouds from sensors are a direct source of information physically describing a 3D state of the recorded environment. As such, they are an exhaustive representation of the real world at every scale: 3D reality-based spatial data. Their generation is increasingly fast but processing routines and data models lack of knowledge to reason from information extraction rather than interpretation. The enhanced smart point cloud developed model allows to bring intelligence to point clouds via 3 connected meta-models while linking available knowledge and classification procedures that permits semantic injection. Interoperability drives the model adaptation to potentially many applications through specialized domain ontologies. A first prototype is implemented in Python and PostgreSQL database and allows to combine semantic and spatial concepts for basic hybrid queries on different point clouds.

  10. 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

  11. 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.

  12. 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).

  13. Avalanches and generalized memory associativity in a network model for conscious and unconscious mental functioning

    Science.gov (United States)

    Siddiqui, Maheen; Wedemann, Roseli S.; Jensen, Henrik Jeldtoft

    2018-01-01

    We explore statistical characteristics of avalanches associated with the dynamics of a complex-network model, where two modules corresponding to sensorial and symbolic memories interact, representing unconscious and conscious mental processes. The model illustrates Freud's ideas regarding the neuroses and that consciousness is related with symbolic and linguistic memory activity in the brain. It incorporates the Stariolo-Tsallis generalization of the Boltzmann Machine in order to model memory retrieval and associativity. In the present work, we define and measure avalanche size distributions during memory retrieval, in order to gain insight regarding basic aspects of the functioning of these complex networks. The avalanche sizes defined for our model should be related to the time consumed and also to the size of the neuronal region which is activated, during memory retrieval. This allows the qualitative comparison of the behaviour of the distribution of cluster sizes, obtained during fMRI measurements of the propagation of signals in the brain, with the distribution of avalanche sizes obtained in our simulation experiments. This comparison corroborates the indication that the Nonextensive Statistical Mechanics formalism may indeed be more well suited to model the complex networks which constitute brain and mental structure.

  14. The semantic origin of unconscious priming: Behavioral and event-related potential evidence during category congruency priming from strongly and weakly related masked words.

    Science.gov (United States)

    Ortells, Juan J; Kiefer, Markus; Castillo, Alejandro; Megías, Montserrat; Morillas, Alejandro

    2016-01-01

    The mechanisms underlying masked congruency priming, semantic mechanisms such as semantic activation or non-semantic mechanisms, for example response activation, remain a matter of debate. In order to decide between these alternatives, reaction times (RTs) and event-related potentials (ERPs) were recorded in the present study, while participants performed a semantic categorization task on visible word targets that were preceded either 167 ms (Experiment 1) or 34 ms before (Experiment 2) by briefly presented (33 ms) novel (unpracticed) masked prime words. The primes and targets belonged to different categories (unrelated), or they were either strongly or weakly semantically related category co-exemplars. Behavioral (RT) and electrophysiological masked congruency priming effects were significantly greater for strongly related pairs than for weakly related pairs, indicating a semantic origin of effects. Priming in the latter condition was not statistically reliable. Furthermore, priming effects modulated the N400 event-related potential (ERP) component, an electrophysiological index of semantic processing, but not ERPs in the time range of the N200 component, associated with response conflict and visuo-motor response priming. The present results demonstrate that masked congruency priming from novel prime words also depends on semantic processing of the primes and is not exclusively driven by non-semantic mechanisms such as response activation. Copyright © 2015 Elsevier B.V. All rights reserved.

  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. Substantive unconscious and adjective unconscious: the contribution of Wilfred Bion.

    Science.gov (United States)

    de Azevedo, A M

    2000-01-01

    The author first provides her readers with a brief summary of some of Freud's ideas, as found throughout his work, on the notion of 'unconscious'. The notion of unconscious as noun is contrasted to the idea of unconscious as adjective, this latter being proposed as a quality, or a state, ever temporary, dynamic, and subject to the constant changes going on in the individual's internal psychic world, as well as to external conditions. After presenting some considerations, the author then contrasts the Kleinian model of the mind to the Freudian, and Wilfred Bion's contribution is discussed at some length. Within Bion's conception of psychic functioning, the model of 'dream' is highlighted and, in this regard, clarifications are sought regarding Bion's view of the unconscious. To conclude, a brief and superficial approximation to the work of Carl Jung is touched upon, although the author admits to knowing little of Jung's positions.

  17. A Tri-network Model of Human Semantic Processing

    Directory of Open Access Journals (Sweden)

    Yangwen Xu

    2017-09-01

    Full Text Available Humans process the meaning of the world via both verbal and nonverbal modalities. It has been established that widely distributed cortical regions are involved in semantic processing, yet the global wiring pattern of this brain system has not been considered in the current neurocognitive semantic models. We review evidence from the brain-network perspective, which shows that the semantic system is topologically segregated into three brain modules. Revisiting previous region-based evidence in light of these new network findings, we postulate that these three modules support multimodal experiential representation, language-supported representation, and semantic control. A tri-network neurocognitive model of semantic processing is proposed, which generates new hypotheses regarding the network basis of different types of semantic processes.

  18. 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

  19. Towards a quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, Erwin Johan Albert; van Soest, J.

    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

  20. Towards a quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, Erwin Johan Albert; van Soest, Joris

    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

  1. A "Semantic" View of Scientific Models for Science Education

    Science.gov (United States)

    Adúriz-Bravo, Agustín

    2013-01-01

    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…

  2. A Complex Network Approach to Distributional Semantic Models.

    Directory of Open Access Journals (Sweden)

    Akira Utsumi

    Full Text Available A number of studies on network analysis have focused on language networks based on free word association, which reflects human lexical knowledge, and have demonstrated the small-world and scale-free properties in the word association network. Nevertheless, there have been very few attempts at applying network analysis to distributional semantic models, despite the fact that these models have been studied extensively as computational or cognitive models of human lexical knowledge. In this paper, we analyze three network properties, namely, small-world, scale-free, and hierarchical properties, of semantic networks created by distributional semantic models. We demonstrate that the created networks generally exhibit the same properties as word association networks. In particular, we show that the distribution of the number of connections in these networks follows the truncated power law, which is also observed in an association network. This indicates that distributional semantic models can provide a plausible model of lexical knowledge. Additionally, the observed differences in the network properties of various implementations of distributional semantic models are consistently explained or predicted by considering the intrinsic semantic features of a word-context matrix and the functions of matrix weighting and smoothing. Furthermore, to simulate a semantic network with the observed network properties, we propose a new growing network model based on the model of Steyvers and Tenenbaum. The idea underlying the proposed model is that both preferential and random attachments are required to reflect different types of semantic relations in network growth process. We demonstrate that this model provides a better explanation of network behaviors generated by distributional semantic models.

  3. 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

  4. 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.

  5. Modeling Views for Semantic Web Using eXtensible Semantic (XSemantic) Nets

    NARCIS (Netherlands)

    Rajugan, R.; Chang, E.; Feng, L.; Dillon, T.; meersman, R; Tari, Z; herrero, p; Méndez, G.; Cavedon, L.; Martin, D.; Hinze, A.; Buchanan, G.

    2005-01-01

    The emergence of Semantic Web (SW) and the related technologies promise to make the web a meaningful experience. Yet, high level modeling, design and querying techniques proves to be a challenging task for organizations that are hoping utilize the SW paradigm for their industrial applications, which

  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. Semantic Technologies for Nuclear Knowledge Modelling and Applications

    International Nuclear Information System (INIS)

    Beraha, D.; Gladyshev, M.

    2016-01-01

    Full text: The IAEA has been engaged in working with Member States to preserve and enhance nuclear knowledge, and in supporting wide dissemination of safety related technical and technological information enhancing nuclear safety. The knowledge organization systems (ontologies, taxonomies, thesauri, etc.) provide one of the means to model and structure a given knowledge domain. The significance of knowledge organization systems (KOS) has been greatly enhanced by the evolution of the semantic technologies, enabling machines to “understand” the concepts described in a KOS, and to use them in a variety of applications. Over recent years semantic technologies have emerged as efficient means to improve access to information and knowledge. The Semantic Web Standards play an important role in creating an infrastructure of interoperable data sources based on principles of Linked Data. The status of utilizing semantic technologies in the nuclear domain is shortly reviewed, noting that such technologies are in their early stage of adoption, and considering some aspects which are specific to nuclear knowledge management. Several areas are described where semantic technologies are already deployed, and other areas are indicated where applications based on semantic technologies will have a strong impact on nuclear knowledge management in the near future. (author

  8. Semantic reasoning with XML-based biomedical information models.

    Science.gov (United States)

    O'Connor, Martin J; Das, Amar

    2010-01-01

    The Extensible Markup Language (XML) is increasingly being used for biomedical data exchange. The parallel growth in the use of ontologies in biomedicine presents opportunities for combining the two technologies to leverage the semantic reasoning services provided by ontology-based tools. There are currently no standardized approaches for taking XML-encoded biomedical information models and representing and reasoning with them using ontologies. To address this shortcoming, we have developed a workflow and a suite of tools for transforming XML-based information models into domain ontologies encoded using OWL. In this study, we applied semantics reasoning methods to these ontologies to automatically generate domain-level inferences. We successfully used these methods to develop semantic reasoning methods for information models in the HIV and radiological image domains.

  9. Semantic concept-enriched dependence model for medical information retrieval.

    Science.gov (United States)

    Choi, Sungbin; Choi, Jinwook; Yoo, Sooyoung; Kim, Heechun; Lee, Youngho

    2014-02-01

    In medical information retrieval research, semantic resources have been mostly used by expanding the original query terms or estimating the concept importance weight. However, implicit term-dependency information contained in semantic concept terms has been overlooked or at least underused in most previous studies. In this study, we incorporate a semantic concept-based term-dependence feature into a formal retrieval model to improve its ranking performance. Standardized medical concept terms used by medical professionals were assumed to have implicit dependency within the same concept. We hypothesized that, by elaborately revising the ranking algorithms to favor documents that preserve those implicit dependencies, the ranking performance could be improved. The implicit dependence features are harvested from the original query using MetaMap. These semantic concept-based dependence features were incorporated into a semantic concept-enriched dependence model (SCDM). We designed four different variants of the model, with each variant having distinct characteristics in the feature formulation method. We performed leave-one-out cross validations on both a clinical document corpus (TREC Medical records track) and a medical literature corpus (OHSUMED), which are representative test collections in medical information retrieval research. Our semantic concept-enriched dependence model consistently outperformed other state-of-the-art retrieval methods. Analysis shows that the performance gain has occurred independently of the concept's explicit importance in the query. By capturing implicit knowledge with regard to the query term relationships and incorporating them into a ranking model, we could build a more robust and effective retrieval model, independent of the concept importance. Copyright © 2013 Elsevier Inc. All rights reserved.

  10. 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.

  11. Exploring Context with Deep Structured models for Semantic Segmentation.

    Science.gov (United States)

    Lin, Guosheng; Shen, Chunhua; van den Hengel, Anton; Reid, Ian

    2017-05-26

    We propose an approach for exploiting contextual information in semantic image segmentation, and particularly investigate the use of patch-patch context and patch-background context in deep CNNs. We formulate deep structured models by combining CNNs and Conditional Random Fields (CRFs) for learning the patch-patch context between image regions. Specifically, we formulate CNN-based pairwise potential functions to capture semantic correlations between neighboring patches. Efficient piecewise training of the proposed deep structured model is then applied in order to avoid repeated expensive CRF inference during the course of back propagation.For capturing the patch-background context, we show that a network design with traditional multi-scale image inputs and sliding pyramid pooling is very effective for improving performance. We perform comprehensive evaluation of the proposed method. We achieve new state-of-the-art performance on a number of challenging semantic segmentation datasets.

  12. 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

    2017-10-01

    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. Copyright © 2017 Institute of Psychoanalysis.

  13. 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...... represent program families with infinite integers as so-called (finite-state) featured symbolic automata. Specifically designed model checking algorithms are then employed to verify safety of all programs from a family at once and pinpoint those programs that are unsafe (respectively, safe). We present...

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

    Science.gov (United States)

    2014-04-25

    the timed semantics of FMI. While in the case of encoding a discrete-event (DE) actor such as those used in Ptolemy [7, 12] as an FMU, we need to...in a number of languages and tools such as ns-3, VHDL, SimEvents, and Ptolemy [7]. The semantics of DE have been formalized in various papers, e.g...sense, since there are specialized tools (e.g., Ptolemy ) for SDF modeling and simulation. What is interesting about the above mapping, however, is that

  15. Semantic Similarity, Predictability, and Models of Sentence Processing

    Science.gov (United States)

    Roland, Douglas; Yun, Hongoak; Koenig, Jean-Pierre; Mauner, Gail

    2012-01-01

    The effects of word predictability and shared semantic similarity between a target word and other words that could have taken its place in a sentence on language comprehension are investigated using data from a reading time study, a sentence completion study, and linear mixed-effects regression modeling. We find that processing is facilitated if…

  16. Organizing the space and behavior of semantic models.

    Science.gov (United States)

    Rubin, Timothy N; Kievit-Kylar, Brent; Willits, Jon A; Jones, Michael N

    Semantic models play an important role in cognitive science. These models use statistical learning to model word meanings from co-occurrences in text corpora. A wide variety of semantic models have been proposed, and the literature has typically emphasized situations in which one model outperforms another. However, because these models often vary with respect to multiple sub-processes (e.g., their normalization or dimensionality-reduction methods), it can be difficult to delineate which of these processes are responsible for observed performance differences. Furthermore, the fact that any two models may vary along multiple dimensions makes it difficult to understand where these models fall within the space of possible psychological theories. In this paper, we propose a general framework for organizing the space of semantic models. We then illustrate how this framework can be used to understand model comparisons in terms of individual manipulations along sub-processes. Using several artificial datasets we show how both representational structure and dimensionality-reduction influence a model's ability to pick up on different types of word relationships.

  17. 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

  18. Concepts as Semantic Pointers: A Framework and Computational Model.

    Science.gov (United States)

    Blouw, Peter; Solodkin, Eugene; Thagard, Paul; Eliasmith, Chris

    2016-07-01

    The reconciliation of theories of concepts based on prototypes, exemplars, and theory-like structures is a longstanding problem in cognitive science. In response to this problem, researchers have recently tended to adopt either hybrid theories that combine various kinds of representational structure, or eliminative theories that replace concepts with a more finely grained taxonomy of mental representations. In this paper, we describe an alternative approach involving a single class of mental representations called "semantic pointers." Semantic pointers are symbol-like representations that result from the compression and recursive binding of perceptual, lexical, and motor representations, effectively integrating traditional connectionist and symbolic approaches. We present a computational model using semantic pointers that replicates experimental data from categorization studies involving each prior paradigm. We argue that a framework involving semantic pointers can provide a unified account of conceptual phenomena, and we compare our framework to existing alternatives in accounting for the scope, content, recursive combination, and neural implementation of concepts. Copyright © 2015 Cognitive Science Society, Inc.

  19. Semantic description of three-dimensional models of Bologna porches

    Directory of Open Access Journals (Sweden)

    Massimo Ballabeni

    2015-07-01

    Full Text Available The study is part of a broader search coordinated by the Department of Architecture of the University of Bologna, the Cineca and the city of Bologna for the nomination of the city porticoes in the UNESCO World Heritage Site. The study describes, first, the problems and the methods adopted for the survey, the numerical modeling and visualization of the arcades models. In addition, the paper aims to describe a method for the semantic studying of the porticoes architecture and the segmentation of the models. The goal is also to establish an integrated approach to the semantic cataloguing of the Bologna arcades based on historical, material, formal, dimensional and theoretical data, and to make this information easily readable and communicable.

  20. 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.

  1. SM4MQ: A Semantic Model for Multidimensional Queries

    DEFF Research Database (Denmark)

    Varga, Jovan; Dobrokhotova, Ekaterina; Romero, Oscar

    2017-01-01

    On-Line Analytical Processing (OLAP) is a data analysis approach to support decision-making. On top of that, Exploratory OLAP is a novel initiative for the convergence of OLAP and the Semantic Web (SW) that enables the use of OLAP techniques on SW data. Moreover, OLAP approaches exploit different...... metadata artifacts (e.g., queries) to assist users with the analysis. However, modeling and sharing of most of these artifacts are typically overlooked. Thus, in this paper we focus on the query metadata artifact in the Exploratory OLAP context and propose an RDF-based vocabulary for its representation......, sharing, and reuse on the SW. As OLAP is based on the underlying multidimensional (MD) data model we denote such queries as MD queries and define SM4MQ: A Semantic Model for Multidimensional Queries. Furthermore, we propose a method to automate the exploitation of queries by means of SPARQL. We apply...

  2. An accumulator model of semantic interference

    NARCIS (Netherlands)

    van Maanen, Leendert; van Rijn, Hedderik

    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

  3. Modeling media as latent semantics based on cognitive components

    DEFF Research Database (Denmark)

    Petersen, Michael Kai

    Though one might think of media as an audiovisual stream of consciousness, we frequently encode frames of video sequences and waves of sound into strings of text. Language allows us to both share the internal representations of what we perceive as mental concepts, as well as categorizing them...... of media based on lyrics, synopses, subtitles, blogs or web pages associated with the content. In the proposed model the bottom-up generated sensory input is a matrix of tens of thousands of words co-occurring within multiple contexts, that are in turn represented as vectors in a semantic space of reduced...... 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....

  4. 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

  5. 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…

  6. 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.

  7. 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. PMID:25762923

  8. 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.

  9. Semantic Interaction for Sensemaking: Inferring Analytical Reasoning for Model Steering.

    Science.gov (United States)

    Endert, A; Fiaux, P; North, C

    2012-12-01

    Visual analytic tools aim to support the cognitively demanding task of sensemaking. Their success often depends on the ability to leverage capabilities of mathematical models, visualization, and human intuition through flexible, usable, and expressive interactions. Spatially clustering data is one effective metaphor for users to explore similarity and relationships between information, adjusting the weighting of dimensions or characteristics of the dataset to observe the change in the spatial layout. Semantic interaction is an approach to user interaction in such spatializations that couples these parametric modifications of the clustering model with users' analytic operations on the data (e.g., direct document movement in the spatialization, highlighting text, search, etc.). In this paper, we present results of a user study exploring the ability of semantic interaction in a visual analytic prototype, ForceSPIRE, to support sensemaking. We found that semantic interaction captures the analytical reasoning of the user through keyword weighting, and aids the user in co-creating a spatialization based on the user's reasoning and intuition.

  10. 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.

  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. 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.

  13. Playing Chess Unconsciously

    Science.gov (United States)

    Kiesel, Andrea; Kunde, Wilfried; Pohl, Carsten; Berner, Michael P.; Hoffmann, Joachim

    2009-01-01

    Expertise in a certain stimulus domain enhances perceptual capabilities. In the present article, the authors investigate whether expertise improves perceptual processing to an extent that allows complex visual stimuli to bias behavior unconsciously. Expert chess players judged whether a target chess configuration entailed a checking configuration.…

  14. Concept model semantics for DL preferential reasoning

    CSIR Research Space (South Africa)

    Britz, K

    2011-07-01

    Full Text Available ; where BM abbreviates the concept BacterialMeningitis, M stands for Menin- gitis, VM for viralMeningitis, and F abbreviates FatalDisease. One should be able to conclude that viral meningitis is usually non-fatal (VM @ :F ). On the other hand, we should... not conclude that fatal versions of meningitis are usually bacterial (F uM @ BM), nor, for that matter, that fatal versions of meningitis are usually not bacterial ones (F uM @ :BM). Armed with the notion of a preferential model (cf. Section 3) we de ne pref...

  15. Semantic Model Driven Architecture Based Method for Enterprise Application Development

    Science.gov (United States)

    Wu, Minghui; Ying, Jing; Yan, Hui

    Enterprise applications have the requirements of meeting dynamic businesses processes and adopting lasted technologies flexibly, with to solve the problems caused by the nature of heterogeneous characteristic. Service-Oriented Architecture (SOA) is becoming a leading paradigm for business process integration. This research work focuses on business process modeling, proposes a semantic model-driven development method named SMDA combined with the Ontology and Model-Driven Architecture (MDA) technologies. The architecture of SMDA is presented in three orthogonal perspectives. (1) Vertical axis is the MDA 4 layers, the focus is UML profiles in M2 (meta-model layer) for ontology modeling, and three abstract levels: CIM, PIM and PSM modeling respectively. (2) Horizontal axis is different concerns involved in the development: Process, Application, Information, Organization, and Technology. (3) Traversal Axis is referred to aspects that have influence on other models of the cross-cutting axis: Architecture, Semantics, Aspect, and Pattern. The paper also introduces the modeling and transformation process in SMDA, and describes dynamic service composition supports briefly.

  16. SM4MQ: A Semantic Model for Multidimensional Queries

    DEFF Research Database (Denmark)

    Varga, Jovan; Dobrokhotova, Ekaterina; Romero, Oscar

    2017-01-01

    metadata artifacts (e.g., queries) to assist users with the analysis. However, modeling and sharing of most of these artifacts are typically overlooked. Thus, in this paper we focus on the query metadata artifact in the Exploratory OLAP context and propose an RDF-based vocabulary for its representation......On-Line Analytical Processing (OLAP) is a data analysis approach to support decision-making. On top of that, Exploratory OLAP is a novel initiative for the convergence of OLAP and the Semantic Web (SW) that enables the use of OLAP techniques on SW data. Moreover, OLAP approaches exploit different...

  17. 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.

  18. Semantic integration by pattern priming: experiment and cortical network model.

    Science.gov (United States)

    Lavigne, Frédéric; Longrée, Dominique; Mayaffre, Damon; Mellet, Sylvie

    2016-12-01

    Neural network models describe semantic priming effects by way of mechanisms of activation of neurons coding for words that rely strongly on synaptic efficacies between pairs of neurons. Biologically inspired Hebbian learning defines efficacy values as a function of the activity of pre- and post-synaptic neurons only. It generates only pair associations between words in the semantic network. However, the statistical analysis of large text databases points to the frequent occurrence not only of pairs of words (e.g., "the way") but also of patterns of more than two words (e.g., "by the way"). The learning of these frequent patterns of words is not reducible to associations between pairs of words but must take into account the higher level of coding of three-word patterns. The processing and learning of pattern of words challenges classical Hebbian learning algorithms used in biologically inspired models of priming. The aim of the present study was to test the effects of patterns on the semantic processing of words and to investigate how an inter-synaptic learning algorithm succeeds at reproducing the experimental data. The experiment manipulates the frequency of occurrence of patterns of three words in a multiple-paradigm protocol. Results show for the first time that target words benefit more priming when embedded in a pattern with the two primes than when only associated with each prime in pairs. A biologically inspired inter-synaptic learning algorithm is tested that potentiates synapses as a function of the activation of more than two pre- and post-synaptic neurons. Simulations show that the network can learn patterns of three words to reproduce the experimental results.

  19. Genre-adaptive semantic computing and audio-based modelling for music mood annotation.

    OpenAIRE

    Saari, Pasi; Fazekas, Gyorgy; Eerola, Tuomas; Barthet, Mathieu; Lartillot, Olivier; Sandler, Mark

    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 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-ada...

  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. Semantics of Temporal Models with Multiple Temporal Dimensions

    DEFF Research Database (Denmark)

    Kraft, Peter; Sørensen, Jens Otto

    ending up with lexical data models. In particular we look upon the representations by sets of normalised tables, by sets of 1NF tables and by sets of N1NF/nested tables. At each translation step we focus on how the temporal semantic is consistently maintained. In this way we recognise the requirements...... for representation of temporal properties in different models and the correspondence between the models. The results rely on the assumptions that the temporal dimensions are interdependent and ordered. Thus for example the valid periods of existences of a property in a mini world are dependent on the transaction...... periods in which the corresponding recordings are valid. This is not the normal way of looking at temporal dimensions and we give arguments supporting our assumption....

  2. 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

  3. Requirements-level semantics and model checking of object-oriented statecharts

    NARCIS (Netherlands)

    Eshuis, H.; Jansen, D.N.; Wieringa, Roelf J.

    2002-01-01

    In this paper we define a requirements-level execution semantics for object-oriented statecharts and show how properties of a system specified by these statecharts can be model checked using tool support for model checkers. Our execution semantics is requirements-level because it uses the perfect

  4. Semantic Models of Sentences with Verbs of Motion in Standard Language and in Scientific Language Used in Biology

    Directory of Open Access Journals (Sweden)

    Vita Banionytė

    2016-06-01

    Full Text Available The semantic models of sentences with verbs of motion in German standard language and in scientific language used in biology are analyzed in the article. In its theoretic part it is affirmed that the article is based on the semantic theory of the sentence. This theory, in its turn, is grounded on the correlation of semantic predicative classes and semantic roles. The combination of semantic predicative classes and semantic roles is expressed by the main semantic formula – proposition. In its practical part the differences between the semantic models of standard and scientific language used in biology are explained. While modelling sentences with verbs of motion, two groups of semantic models of sentences are singled out: that of action (Handlung and process (Vorgang. The analysis shows that the semantic models of sentences with semantic action predicatives dominate in the text of standard language while the semantic models of sentences with semantic process predicatives dominate in the texts of scientific language used in biology. The differences how the doer and direction are expressed in standard and in scientific language are clearly seen and the semantic cases (Agens, Patiens, Direktiv1 help to determine that. It is observed that in scientific texts of high level of specialization (biology science in contrast to popular scientific literature models of sentences with moving verbs are usually seldom found. They are substituted by denominative constructions. In conclusions it is shown that this analysis can be important in methodics, especially planning material for teaching professional-scientific language.

  5. 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

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

    Directory of Open Access Journals (Sweden)

    Helena F Deus

    2008-08-01

    Full Text Available 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.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.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.

  7. Modelling the Semantics of Object Prepositions Inside Spanish NPs

    DEFF Research Database (Denmark)

    Høeg Müller, Henrik

    2016-01-01

    This paper presents a cognitive semantic framework for understanding the principles that govern the use of object prepositions inside NPs with event nominalizations (Grimshaw 1990) as heads......This paper presents a cognitive semantic framework for understanding the principles that govern the use of object prepositions inside NPs with event nominalizations (Grimshaw 1990) as heads...

  8. 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

  9. An ontology-based hierarchical semantic modeling approach to clinical pathway workflows.

    Science.gov (United States)

    Ye, Yan; Jiang, Zhibin; Diao, Xiaodi; Yang, Dong; Du, Gang

    2009-08-01

    This paper proposes an ontology-based approach of modeling clinical pathway workflows at the semantic level for facilitating computerized clinical pathway implementation and efficient delivery of high-quality healthcare services. A clinical pathway ontology (CPO) is formally defined in OWL web ontology language (OWL) to provide common semantic foundation for meaningful representation and exchange of pathway-related knowledge. A CPO-based semantic modeling method is then presented to describe clinical pathways as interconnected hierarchical models including the top-level outcome flow and intervention workflow level along a care timeline. Furthermore, relevant temporal knowledge can be fully represented by combing temporal entities in CPO and temporal rules based on semantic web rule language (SWRL). An illustrative example about a clinical pathway for cesarean section shows the applicability of the proposed methodology in enabling structured semantic descriptions of any real clinical pathway.

  10. Unresponsiveness ≠ unconsciousness.

    Science.gov (United States)

    Sanders, Robert D; Tononi, Giulio; Laureys, Steven; Sleigh, Jamie W

    2012-04-01

    Consciousness is subjective experience. During both sleep and anesthesia, consciousness is common, evidenced by dreaming. A defining feature of dreaming is that, while conscious, we do not experience our environment; we are disconnected. Besides inducing behavioral unresponsiveness, a key goal of anesthesia is to prevent the experience of surgery (connected consciousness), by inducing either unconsciousness or disconnection of consciousness from the environment. Review of the isolated forearm technique demonstrates that consciousness, connectedness, and responsiveness uncouple during anesthesia; in clinical conditions, a median 37% of patients demonstrate connected consciousness. We describe potential neurobiological constructs that can explain this phenomenon: during light anesthesia the subcortical mechanisms subserving spontaneous behavioral responsiveness are disabled but information integration within the corticothalamic network continues to produce consciousness, and unperturbed norepinephrinergic signaling maintains connectedness. These concepts emphasize the need for developing anesthetic regimens and depth of anesthesia monitors that specifically target mechanisms of consciousness, connectedness, and responsiveness.

  11. Semantic modeling of plastic deformation of polycrystalline rock

    Science.gov (United States)

    Babaie, Hassan A.; Davarpanah, Armita

    2018-02-01

    We have developed the first iteration of the Plastic Rock Deformation (PRD) ontology by modeling the semantics of a selected set of deformational processes and mechanisms that produce, reconfigure, displace, and/or consume the material components of inhomogeneous polycrystalline rocks. The PRD knowledge model also classifies and formalizes the properties (relations) that hold between instances of the dynamic physical and chemical processes and the rock components, the complex physio-chemical, mathematical, and informational concepts of the plastic rock deformation system, the measured or calculated laboratory testing conditions, experimental procedures and protocols, the state and system variables, and the empirical flow laws that define the inter-relationships among the variables. The ontology reuses classes and properties from several existing ontologies that are built for physics, chemistry, biology, and mathematics. With its flexible design, the PRD ontology is well positioned to incrementally develop into a model that more fully represents the knowledge of plastic deformation of polycrystalline rocks in the future. The domain ontology will be used to consistently annotate varied data and information related to the microstructures and the physical and chemical processes that produce them at different spatial and temporal scales in the laboratory and in the solid Earth. The PRDKB knowledge base, when built based on the ontology, will help the community of experimental structural geologists and metamorphic petrologists to coherently and uniformly distribute, discover, access, share, and use their data through automated reasoning and integration and query of heterogeneous experimental deformation data that originate from autonomous rock testing laboratories.

  12. 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.

  13. 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.

  14. 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.

  15. Walking Across Wikipedia: A Scale-Free Network Model of Semantic Memory Retrieval

    Directory of Open Access Journals (Sweden)

    Graham William Thompson

    2014-02-01

    Full Text Available Semantic knowledge has been investigated using both online and offline methods. One common online method is category recall, in which members of a semantic category like animals are retrieved in a given period of time. The order, timing, and number of retrievals are used as assays of semantic memory processes. One common offline method is corpus analysis, in which the structure of semantic knowledge is extracted from texts using co-occurrence or encyclopedic methods. Online measures of semantic processing, as well as offline measures of semantic structure, have yielded data resembling inverse power law distributions. The aim of the present study is to investigate whether these patterns in data might be related. A semantic network model of animal knowledge is formulated on the basis of Wikipedia pages and their overlap in word probability distributions. The network is scale-free, in that node degree is related to node frequency as an inverse power law. A random walk over this network is shown to simulate a number of results from a category recall experiment, including power law-like distributions of inter-response intervals. Results are discussed in terms of theories of semantic structure and processing.

  16. Walking across Wikipedia: a scale-free network model of semantic memory retrieval.

    Science.gov (United States)

    Thompson, Graham W; Kello, Christopher T

    2014-01-01

    Semantic knowledge has been investigated using both online and offline methods. One common online method is category recall, in which members of a semantic category like "animals" are retrieved in a given period of time. The order, timing, and number of retrievals are used as assays of semantic memory processes. One common offline method is corpus analysis, in which the structure of semantic knowledge is extracted from texts using co-occurrence or encyclopedic methods. Online measures of semantic processing, as well as offline measures of semantic structure, have yielded data resembling inverse power law distributions. The aim of the present study is to investigate whether these patterns in data might be related. A semantic network model of animal knowledge is formulated on the basis of Wikipedia pages and their overlap in word probability distributions. The network is scale-free, in that node degree is related to node frequency as an inverse power law. A random walk over this network is shown to simulate a number of results from a category recall experiment, including power law-like distributions of inter-response intervals. Results are discussed in terms of theories of semantic structure and processing.

  17. 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.

  18. 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.

  19. Encoding Sequential Information in Vector Space Models of Semantics: Comparing Holographic Reduced Representation and Random Permutation

    OpenAIRE

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

    2010-01-01

    Encoding information about the order in which words typically appear has been shown to improve the performance of high-dimensional semantic space models. This requires an encoding operation capable of binding together vectors in an order-sensitive way, and efficient enough to scale to large text corpora. Although both circular convolution and random permutations have been enlisted for this purpose in semantic models, these operations have never been systematically compared. In Experiment 1 we...

  20. 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.

  1. GIS Data Modeling of a Regional Geological Structure by Integrating Geometric and Semantic Expressions

    Directory of Open Access Journals (Sweden)

    HE Handong

    2017-08-01

    Full Text Available Using GIS, data models of geology via geometric descriptions and expressions are being developed. However, the role played by these data models in terms of the description and expression of geological structure phenomenon is limited. To improve the semantic information in geological GIS data models, this study adopts an object-oriented method that describes and expresses the geometric and semantic features of the geological structure phenomenon using geological objects and designs a data model of regional geological structures by integrating geometry and semantics. Moreover, the study designs a semantic "vocabulary-explanation-graph" method for describing the geological phenomenon of structures. Based on the semantic features of regional geological structures and a linear classification method, it divides the regional geological structure phenomenon into 3 divisions, 10 groups, 33 classes and defines the element set and element class. Moreover, it builds the basic geometric network for geological elements based on the geometric and semantic relations among geological objects. Using the ArcGIS Diagrammer Geodatabase, it considers the regional geological structure of the Ning-Zhen Mountains to verify the data model, and the results indicate a high practicability.

  2. Enhanced Explicit Semantic Analysis for Product Model Retrieval in Construction Industry

    OpenAIRE

    Liu, Han; Liu, Yu-Shen; Pauwels, Pieter; Guo, Hongling; Gu, Ming

    2017-01-01

    With the rapidly growing number of online product models in construction industry, there is an urgent need for developing effective domain-specific information retrieval methods. Explicit semantic analysis (ESA) is a method that automatically extracts concept-based features from human knowledge repositories for semantic retrieval. This avoids the requirement of constructing and maintaining an explicitly formalized ontology. However, since domain-specific knowledge repositories are relatively ...

  3. 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…

  4. 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…

  5. QoS MODEL FOR DISCOVERY OF SEMANTIC WEB SERVICES

    African Journals Online (AJOL)

    Nwokem et al.

    Technology on semantic web services nowadays addresses only the synthetic ... technology is based on Web Service Description Language. (WSDL) .... hotel. An abstract service A is the set of transformations i.e. a relation on the state space U. where. S ϵ A represent concrete state transformation S = (ɯ, ɯ1) for each [S ϵ ...

  6. 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

  7. 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.

  8. SEMPATH Ontology: modeling multidisciplinary treatment schemes utilizing semantics.

    Science.gov (United States)

    Alexandrou, Dimitrios Al; Pardalis, Konstantinos V; Bouras, Thanassis D; Karakitsos, Petros; Mentzas, Gregoris N

    2012-03-01

    A dramatic increase of demand for provided treatment quality has occurred during last decades. The main challenge to be confronted, so as to increase treatment quality, is the personalization of treatment, since each patient constitutes a unique case. Healthcare provision encloses a complex environment since healthcare provision organizations are highly multidisciplinary. In this paper, we present the conceptualization of the domain of clinical pathways (CP). The SEMPATH (SEMantic PATHways) Oontology comprises three main parts: 1) the CP part; 2) the business and finance part; and 3) the quality assurance part. Our implementation achieves the conceptualization of the multidisciplinary domain of healthcare provision, in order to be further utilized for the implementation of a Semantic Web Rules (SWRL rules) repository. Finally, SEMPATH Ontology is utilized for the definition of a set of SWRL rules for the human papillomavirus) disease and its treatment scheme. © 2012 IEEE

  9. 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

  10. Semantic-based multilingual document clustering via tensor modeling

    OpenAIRE

    Romeo, S.; Tagarelli, A.; Ienco, D.

    2014-01-01

    EMNLP, Conference on Empirical Methods in Natural Language Processing , Doha, QAT, 25-/10/2014 - 29/10/2014; International audience; A major challenge in document clustering research arises from the growing amount of text data written in different languages. Previous approaches depend on language-specific solutions (e.g., bilingual dictionaries, sequential machine translation) to evaluate document similarities, and the required transformations may alter the original document semantics. To cop...

  11. Unconscious processes improve lie detection.

    Science.gov (United States)

    Reinhard, Marc-André; Greifeneder, Rainer; Scharmach, Martin

    2013-11-01

    The capacity to identify cheaters is essential for maintaining balanced social relationships, yet humans have been shown to be generally poor deception detectors. In fact, a plethora of empirical findings holds that individuals are only slightly better than chance when discerning lies from truths. Here, we report 5 experiments showing that judges' ability to detect deception greatly increases after periods of unconscious processing. Specifically, judges who were kept from consciously deliberating outperformed judges who were encouraged to do so or who made a decision immediately; moreover, unconscious thinkers' detection accuracy was significantly above chance level. The reported experiments further show that this improvement comes about because unconscious thinking processes allow for integrating the particularly rich information basis necessary for accurate lie detection. These findings suggest that the human mind is not unfit to distinguish between truth and deception but that this ability resides in previously overlooked processes. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  12. Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation.

    Science.gov (United States)

    Anderson, Andrew James; Binder, Jeffrey R; Fernandino, Leonardo; Humphries, Colin J; Conant, Lisa L; Aguilar, Mario; Wang, Xixi; Doko, Donias; Raizada, Rajeev D S

    2017-09-01

    We introduce an approach that predicts neural representations of word meanings contained in sentences then superposes these to predict neural representations of new sentences. A neurobiological semantic model based on sensory, motor, social, emotional, and cognitive attributes was used as a foundation to define semantic content. Previous studies have predominantly predicted neural patterns for isolated words, using models that lack neurobiological interpretation. Fourteen participants read 240 sentences describing everyday situations while undergoing fMRI. To connect sentence-level fMRI activation patterns to the word-level semantic model, we devised methods to decompose the fMRI data into individual words. Activation patterns associated with each attribute in the model were then estimated using multiple-regression. This enabled synthesis of activation patterns for trained and new words, which were subsequently averaged to predict new sentences. Region-of-interest analyses revealed that prediction accuracy was highest using voxels in the left temporal and inferior parietal cortex, although a broad range of regions returned statistically significant results, showing that semantic information is widely distributed across the brain. The results show how a neurobiologically motivated semantic model can decompose sentence-level fMRI data into activation features for component words, which can be recombined to predict activation patterns for new sentences. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  13. Full Semantics Preservation in Model Transformation - A Comparison of Proof Techniques

    NARCIS (Netherlands)

    Hülsbusch, Mathias; König, Barbara; Rensink, Arend; Semenyak, Maria; Soltenborn, Christian; Wehrheim, Heike

    Model transformation is a prime technique in modern, model-driven software design. One of the most challenging issues is to show that the semantics of the models is not affected by the transformation. So far, there is hardly any research into this issue, in particular in those cases where the source

  14. 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. �...

  15. Episodic grammar: a computational model of the interaction between episodic and semantic memory in language processing

    NARCIS (Netherlands)

    Borensztajn, G.; Zuidema, W.; Carlson, L.; Hoelscher, C.; Shipley, T.F.

    2011-01-01

    We present a model of the interaction of semantic and episodic memory in language processing. Our work shows how language processing can be understood in terms of memory retrieval. We point out that the perceived dichotomy between rule-based versus exemplar-based language modelling can be

  16. 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…

  17. Towards a Semantic E-Learning Theory by Using a Modelling Approach

    Science.gov (United States)

    Yli-Luoma, Pertti V. J.; Naeve, Ambjorn

    2006-01-01

    In the present study, a semantic perspective on e-learning theory is advanced and a modelling approach is used. This modelling approach towards the new learning theory is based on the four SECI phases of knowledge conversion: Socialisation, Externalisation, Combination and Internalisation, introduced by Nonaka in 1994, and involving two levels of…

  18. Model-based document categorization employing semantic pattern analysis and local structure clustering

    Science.gov (United States)

    Fume, Kosei; Ishitani, Yasuto

    2008-01-01

    We propose a document categorization method based on a document model that can be defined externally for each task and that categorizes Web content or business documents into a target category in accordance with the similarity of the model. The main feature of the proposed method consists of two aspects of semantics extraction from an input document. The semantics of terms are extracted by the semantic pattern analysis and implicit meanings of document substructure are specified by a bottom-up text clustering technique focusing on the similarity of text line attributes. We have constructed a system based on the proposed method for trial purposes. The experimental results show that the system achieves more than 80% classification accuracy in categorizing Web content and business documents into 15 or 70 categories.

  19. 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.

  20. 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.

  1. Approach for ontological modeling of database schema for the generation of semantic knowledge on the web

    Science.gov (United States)

    Rozeva, Anna

    2015-11-01

    Currently there is large quantity of content on web pages that is generated from relational databases. Conceptual domain models provide for the integration of heterogeneous content on semantic level. The use of ontology as conceptual model of a relational data sources makes them available to web agents and services and provides for the employment of ontological techniques for data access, navigation and reasoning. The achievement of interoperability between relational databases and ontologies enriches the web with semantic knowledge. The establishment of semantic database conceptual model based on ontology facilitates the development of data integration systems that use ontology as unified global view. Approach for generation of ontologically based conceptual model is presented. The ontology representing the database schema is obtained by matching schema elements to ontology concepts. Algorithm of the matching process is designed. Infrastructure for the inclusion of mediation between database and ontology for bridging legacy data with formal semantic meaning is presented. Implementation of the knowledge modeling approach on sample database is performed.

  2. 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.

  3. 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.

  4. 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...... related to a set of 600 popular music tracks spanning multiple genres. The results show that ACTwg outperforms a semantic computing technique that does not exploit genre information, and ACTwg-SLPwg outperforms conventional techniques and other genre-adaptive alternatives. In particular, improvements......-based genre representation for genre-adaptive music mood analysis....

  5. 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.

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

    Directory of Open Access Journals (Sweden)

    Yuanchao Liu

    Full Text Available 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.

  7. Semantic policy and adversarial modeling for cyber threat identification and avoidance

    Science.gov (United States)

    DeFrancesco, Anton; McQueary, Bruce

    2009-05-01

    Today's enterprise networks undergo a relentless barrage of attacks from foreign and domestic adversaries. These attacks may be perpetrated with little to no funding, but may wreck incalculable damage upon the enterprises security, network infrastructure, and services. As more services come online, systems that were once in isolation now provide information that may be combined dynamically with information from other systems to create new meaning on the fly. Security issues are compounded by the potential to aggregate individual pieces of information and infer knowledge at a higher classification than any of its constituent parts. To help alleviate these challenges, in this paper we introduce the notion of semantic policy and discuss how it's use is evolving from a robust approach to access control to preempting and combating attacks in the cyber domain, The introduction of semantic policy and adversarial modeling to network security aims to ask 'where is the network most vulnerable', 'how is the network being attacked', and 'why is the network being attacked'. The first aspect of our approach is integration of semantic policy into enterprise security to augment traditional network security with an overall awareness of policy access and violations. This awareness allows the semantic policy to look at the big picture - analyzing trends and identifying critical relations in system wide data access. The second aspect of our approach is to couple adversarial modeling with semantic policy to move beyond reactive security measures and into a proactive identification of system weaknesses and areas of vulnerability. By utilizing Bayesian-based methodologies, the enterprise wide meaning of data and semantic policy is applied to probability and high-level risk identification. This risk identification will help mitigate potential harm to enterprise networks by enabling resources to proactively isolate, lock-down, and secure systems that are most vulnerable.

  8. 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

  9. 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...

  10. Can lies be detected unconsciously?

    Science.gov (United States)

    Moi, Wen Ying; Shanks, David R

    2015-01-01

    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 (UT). In support of this hypothesis, Reinhard et al. (2013) observed improved lie detection among participants engaging in UT. The present study aimed to replicate this UT advantage using a similar experimental procedure but with an important improvement in a key control condition. Specifically, participants judged the truthfulness of eight 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 UT advantage in Experiment 2. The results imply that the UT advantage in deception detection is not a robust phenomenon.

  11. Semantic Likelihood Models for Bayesian Inference in Human-Robot Interaction

    Science.gov (United States)

    Sweet, Nicholas

    Autonomous systems, particularly unmanned aerial systems (UAS), remain limited in au- tonomous capabilities largely due to a poor understanding of their environment. Current sensors simply do not match human perceptive capabilities, impeding progress towards full autonomy. Recent work has shown the value of humans as sources of information within a human-robot team; in target applications, communicating human-generated 'soft data' to autonomous systems enables higher levels of autonomy through large, efficient information gains. This requires development of a 'human sensor model' that allows soft data fusion through Bayesian inference to update the probabilistic belief representations maintained by autonomous systems. Current human sensor models that capture linguistic inputs as semantic information are limited in their ability to generalize likelihood functions for semantic statements: they may be learned from dense data; they do not exploit the contextual information embedded within groundings; and they often limit human input to restrictive and simplistic interfaces. This work provides mechanisms to synthesize human sensor models from constraints based on easily attainable a priori knowledge, develops compression techniques to capture information-dense semantics, and investigates the problem of capturing and fusing semantic information contained within unstructured natural language. A robotic experimental testbed is also developed to validate the above contributions.

  12. Interaction of cortex and hippocampus in a model of amnesia and semantic dementia.

    Science.gov (United States)

    Murre, J M

    1999-01-01

    We describe a systems-level computational model, called TraceLink, that can explain the major characteristics of the neuropsychology of amnesia and of semantic dementia, a recently discovered syndrome in which there is a progressive loss of semantic memory. It also approximates the normal forgetting curve and presents an explanation of why spaced learning is more efficient than massed learning. A central assumption is that consolidation of memory takes place, probably during dream sleep. The model consists of three systems: trace system (certain parts of the neocortex), link system (includes the hippocampus), and the modulatory system (includes certain basal forebrain nuclei). Lesioning each of these causes a characteristic form of amnesia or semantic dementia. Lesioning the modulatory system causes anterograde amnesia only. Lesioning the link system causes a correlated degree of retrograde and anterograde amnesia. Retrograde amnesia shows the characteristic Ribot curve with relative sparing of remote memories but loss of recent ones. Lesioning the trace system causes semantic dementia. We also review the main sources of constraints for the model and discuss its status and function as well as its falsifiability.

  13. Semantic Modeling for SNPs Associated with Ethnic Disparities in HapMap Samples

    Directory of Open Access Journals (Sweden)

    HyoYoung Kim

    2014-03-01

    Full Text Available Single-nucleotide polymorphisms (SNPs have been emerging out of the efforts to research human diseases and ethnic disparities. A semantic network is needed for in-depth understanding of the impacts of SNPs, because phenotypes are modulated by complex networks, including biochemical and physiological pathways. We identified ethnicity-specific SNPs by eliminating overlapped SNPs from HapMap samples, and the ethnicity-specific SNPs were mapped to the UCSC RefGene lists. Ethnicity-specific genes were identified as follows: 22 genes in the USA (CEU individuals, 25 genes in the Japanese (JPT individuals, and 332 genes in the African (YRI individuals. To analyze the biologically functional implications for ethnicity-specific SNPs, we focused on constructing a semantic network model. Entities for the network represented by "Gene," "Pathway," "Disease," "Chemical," "Drug," "ClinicalTrials," "SNP," and relationships between entity-entity were obtained through curation. Our semantic modeling for ethnicity-specific SNPs showed interesting results in the three categories, including three diseases ("AIDS-associated nephropathy," "Hypertension," and "Pelvic infection", one drug ("Methylphenidate", and five pathways ("Hemostasis," "Systemic lupus erythematosus," "Prostate cancer," "Hepatitis C virus," and "Rheumatoid arthritis". We found ethnicity-specific genes using the semantic modeling, and the majority of our findings was consistent with the previous studies - that an understanding of genetic variability explained ethnicity-specific disparities.

  14. 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…

  15. Dynamic information processing states revealed through neurocognitive models of object semantics

    Science.gov (United States)

    Clarke, Alex

    2015-01-01

    Recognising objects relies on highly dynamic, interactive brain networks to process multiple aspects of object information. To fully understand how different forms of information about objects are represented and processed in the brain requires a neurocognitive account of visual object recognition that combines a detailed cognitive model of semantic knowledge with a neurobiological model of visual object processing. Here we ask how specific cognitive factors are instantiated in our mental processes and how they dynamically evolve over time. We suggest that coarse semantic information, based on generic shared semantic knowledge, is rapidly extracted from visual inputs and is sufficient to drive rapid category decisions. Subsequent recurrent neural activity between the anterior temporal lobe and posterior fusiform supports the formation of object-specific semantic representations – a conjunctive process primarily driven by the perirhinal cortex. These object-specific representations require the integration of shared and distinguishing object properties and support the unique recognition of objects. We conclude that a valuable way of understanding the cognitive activity of the brain is though testing the relationship between specific cognitive measures and dynamic neural activity. This kind of approach allows us to move towards uncovering the information processing states of the brain and how they evolve over time. PMID:25745632

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

    Directory of Open Access Journals (Sweden)

    Peter Csaba Ölveczky

    2010-09-01

    Full Text Available 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.

  17. Inferentializing Semantics

    Czech Academy of Sciences Publication Activity Database

    Peregrin, Jaroslav

    2010-01-01

    Roč. 39, č. 3 (2010), s. 255-274 ISSN 0022-3611 R&D Projects: GA ČR(CZ) GA401/07/0904 Institutional research plan: CEZ:AV0Z90090514 Keywords : inference * proof theory * model theory * inferentialism * semantics Subject RIV: AA - Philosophy ; Religion

  18. 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.

  19. A MULTI-RESOLUTION FUSION MODEL INCORPORATING COLOR AND ELEVATION FOR SEMANTIC SEGMENTATION

    Directory of Open Access Journals (Sweden)

    W. Zhang

    2017-05-01

    Full Text Available In recent years, the developments for Fully Convolutional Networks (FCN have led to great improvements for semantic segmentation in various applications including fused remote sensing data. There is, however, a lack of an in-depth study inside FCN models which would lead to an understanding of the contribution of individual layers to specific classes and their sensitivity to different types of input data. In this paper, we address this problem and propose a fusion model incorporating infrared imagery and Digital Surface Models (DSM for semantic segmentation. The goal is to utilize heterogeneous data more accurately and effectively in a single model instead of to assemble multiple models. First, the contribution and sensitivity of layers concerning the given classes are quantified by means of their recall in FCN. The contribution of different modalities on the pixel-wise prediction is then analyzed based on visualization. Finally, an optimized scheme for the fusion of layers with color and elevation information into a single FCN model is derived based on the analysis. Experiments are performed on the ISPRS Vaihingen 2D Semantic Labeling dataset. Comprehensive evaluations demonstrate the potential of the proposed approach.

  20. 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.

  1. 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

  2. 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

  3. Conceptual grounding of language in action and perception: a neurocomputational model of the emergence of category specificity and semantic hubs.

    Science.gov (United States)

    Garagnani, Max; Pulvermüller, Friedemann

    2016-03-01

    Current neurobiological accounts of language and cognition offer diverging views on the questions of 'where' and 'how' semantic information is stored and processed in the human brain. Neuroimaging data showing consistent activation of different multi-modal areas during word and sentence comprehension suggest that all meanings are processed indistinctively, by a set of general semantic centres or 'hubs'. However, words belonging to specific semantic categories selectively activate modality-preferential areas; for example, action-related words spark activity in dorsal motor cortex, whereas object-related ones activate ventral visual areas. The evidence for category-specific and category-general semantic areas begs for a unifying explanation, able to integrate the emergence of both. Here, a neurobiological model offering such an explanation is described. Using a neural architecture replicating anatomical and neurophysiological features of frontal, occipital and temporal cortices, basic aspects of word learning and semantic grounding in action and perception were simulated. As the network underwent training, distributed lexico-semantic circuits spontaneously emerged. These circuits exhibited different cortical distributions that reached into dorsal-motor or ventral-visual areas, reflecting the correlated category-specific sensorimotor patterns that co-occurred during action- or object-related semantic grounding, respectively. Crucially, substantial numbers of neurons of both types of distributed circuits emerged in areas interfacing between modality-preferential regions, i.e. in multimodal connection hubs, which therefore became loci of general semantic binding. By relating neuroanatomical structure and cellular-level learning mechanisms with system-level cognitive function, this model offers a neurobiological account of category-general and category-specific semantic areas based on the different cortical distributions of the underlying semantic circuits. © 2015 The

  4. 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.

  5. Operational Semantics of a Weak Memory Model inspired by Go

    OpenAIRE

    Fava, Daniel Schnetzer; Stolz, Volker; Valle, Stian

    2017-01-01

    A memory model dictates which values may be returned when reading from memory. In a parallel computing setting, the memory model affects how processes communicate through shared memory. The design of a proper memory model is a balancing act. On one hand, memory models must be lax enough to allow common hardware and compiler optimizations. On the other, the more lax the model, the harder it is for developers to reason about their programs. In order to alleviate the burden on programmers, a wea...

  6. ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation

    OpenAIRE

    Visin, Francesco; Ciccone, Marco; Romero, Adriana; Kastner, Kyle; Cho, Kyunghyun; Bengio, Yoshua; Matteucci, Matteo; Courville, Aaron

    2015-01-01

    We propose a structured prediction architecture, which exploits the local generic features extracted by Convolutional Neural Networks and the capacity of Recurrent Neural Networks (RNN) to retrieve distant dependencies. The proposed architecture, called ReSeg, is based on the recently introduced ReNet model for image classification. We modify and extend it to perform the more challenging task of semantic segmentation. Each ReNet layer is composed of four RNN that sweep the image horizontally ...

  7. 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.

  8. Brain. Conscious and unconscious mechanisms of cognition, emotions, and language.

    Science.gov (United States)

    Perlovsky, Leonid; Ilin, Roman

    2012-12-18

    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.

  9. Spatio-Semantic Comparison of Large 3d City Models in Citygml Using a Graph Database

    Science.gov (United States)

    Nguyen, S. H.; Yao, Z.; Kolbe, T. H.

    2017-10-01

    A city may have multiple CityGML documents recorded at different times or surveyed by different users. To analyse the city's evolution over a given period of time, as well as to update or edit the city model without negating modifications made by other users, it is of utmost importance to first compare, detect and locate spatio-semantic changes between CityGML datasets. This is however difficult due to the fact that CityGML elements belong to a complex hierarchical structure containing multi-level deep associations, which can basically be considered as a graph. Moreover, CityGML allows multiple syntactic ways to define an object leading to syntactic ambiguities in the exchange format. Furthermore, CityGML is capable of including not only 3D urban objects' graphical appearances but also their semantic properties. Since to date, no known algorithm is capable of detecting spatio-semantic changes in CityGML documents, a frequent approach is to replace the older models completely with the newer ones, which not only costs computational resources, but also loses track of collaborative and chronological changes. Thus, this research proposes an approach capable of comparing two arbitrarily large-sized CityGML documents on both semantic and geometric level. Detected deviations are then attached to their respective sources and can easily be retrieved on demand. As a result, updating a 3D city model using this approach is much more efficient as only real changes are committed. To achieve this, the research employs a graph database as the main data structure for storing and processing CityGML datasets in three major steps: mapping, matching and updating. The mapping process transforms input CityGML documents into respective graph representations. The matching process compares these graphs and attaches edit operations on the fly. Found changes can then be executed using the Web Feature Service (WFS), the standard interface for updating geographical features across the web.

  10. Semantically Interoperable XML Data.

    Science.gov (United States)

    Vergara-Niedermayr, Cristobal; Wang, Fusheng; Pan, Tony; Kurc, Tahsin; Saltz, Joel

    2013-09-01

    XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups.

  11. Unanticipated Quadraplegia in an Unconscious Mechanically ...

    African Journals Online (AJOL)

    This case highlights the problems of identification of such injuries in the unconscious. CaseReport An unconscious young ... Radiological investigation revealed complete dislocation of first (C1) and second (C2) cervical vertebra; a crack in the left temporal skull and a contused left lung.Hewas re-intubated about 20minutes ...

  12. The Merits of Unconscious Thought in Creativity

    NARCIS (Netherlands)

    Zhong, C.B.; Dijksterhuis, A.J.; Galinsky, A.D.

    2008-01-01

    Research has yielded weak empirical support for the idea that creative solutions may be discovered through unconscious thought, despite anecdotes to this effect. To understand this gap, we examined the effect of unconscious thought on two outcomes of a remote-association test (RAT): implicit

  13. A Semantic Model of Multiple Space of Role and State(I)

    Directory of Open Access Journals (Sweden)

    Huang Ziyou

    2007-10-01

    Full Text Available Language artificially classifies the varied phenomena of the chaotic world into four kinds of expressions: “real displacements”, “real shifts”, “virtual displacements” and “virtual shifts”. This paper is mainly a semantic exploration of the “real displacements” and the achievement of the discussion is a foundation for the semantic study of the latter three kinds of expressions. Emphasis will be laid upon the verbs and their relationship with nouns. The “multiple space role-state-ring-chain” model designed in the paper is aimed at delving beneath the surface of a verb and studying its inner micro-world, so as to grasp the transformational rules among the surface, deep and underlying structures of a sentence and to promote the discovery for the mystery of human languages.

  14. A Semantic Model of Multiple Space of Role and State [Ⅱ

    Directory of Open Access Journals (Sweden)

    Huang Ziyou

    2008-10-01

    Full Text Available Language artificially classifies the varied phenomena of the chaotic world into four kinds of expressions: “real displacements”, “real shifts”, “virtual displacements” and “virtual shifts”. This paper is mainly a semantic exploration of the “real displacements” and the achievement of the discussion is a foundation for the semantic study of the latter three kinds of expressions. Emphasis will be laid upon the verbs and their relationship with nouns. The “multiple space role-state-ring-chain” model designed in the paper is aimed at delving beneath the surface of a verb and studying its inner micro-world, so as to grasp the transformational rules among the surface, deep and underlying structures of a sentence and to promote the discovery of the mystery of human languages.

  15. 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

  16. Dynamics of the semantic priming shift: behavioral experiments and cortical network model.

    Science.gov (United States)

    Lavigne, Frédéric; Dumercy, Laurent; Chanquoy, Lucile; Mercier, Brunissende; Vitu-Thibault, Françoise

    2012-12-01

    Multiple semantic priming processes between several related and/or unrelated words are at work during the processing of sequences of words. Multiple priming generates rich dynamics of effects depending on the relationship between the target word and the first and/or second prime previously presented. The experimental literature suggests that during the on-line processing of the primes, the activation can shift from associates to the first prime to associates to the second prime. Though the semantic priming shift is central to the on-line and rapid updating of word meanings in the working memory, its precise dynamics are still poorly understood and it is still a challenge to model how it functions in the cerebral cortex. Four multiple priming experiments are proposed that cross-manipulate delays and association strength between the primes and the target. Results show for the first time that association strength determines complex dynamics of the semantic priming shift, ranging from an absence of a shift to a complete shift. A cortical network model of spike frequency adaptive neuron populations is proposed to account for the non-continuous evolution of the priming shift over time. It allows linking the dynamics of the priming shift assessed at the behavioral level to the non-linear dynamics of the firing rates of neurons populations.

  17. 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.

  18. [The language of the unconscious].

    Science.gov (United States)

    Geets, W

    1975-05-01

    The concept of consciousness, separate from that of vigilance, can be defined as the immediate knowledge of motor-perceptual activities on the cognitive assimilation of the real duration. The linguistic theories distinguish in the language first of all linguistic competence, it is grouping of signs or linguistic knowledge of the group, which one can compare to phenomenon of automatism, and secondly the spoken language or linguistic performance, a creative individual and voluntary act. The observation of aphasics and of a certain partial temporal epileptics permits to dissociate these two forms of language. That of the consciousness linked to the immediate observation of the self by ones' self could only be the creative word. The unconscious listener, separated from real time, without real creative ability, could only be the "-echo-souvenir" of the conscient person.

  19. Towards integrated model building with semantically annotated components

    NARCIS (Netherlands)

    Schmitz, O.; Karssenberg, D.J.; Kok, J.L. de

    2012-01-01

    Integrated models are valuable tools for research and decision support as they allow a comprehensive analysis of environmental systems. Component–based software frameworks aid in their development by a more straightforward construction and coupling of generic components. Formal descriptions of

  20. Energy-aware semantic modeling in large scale infrastructures

    NARCIS (Netherlands)

    Zhu, H.; van der Veldt, K.; Grosso, P.; Zhao, Z.; Liao, X.; de Laat, C.

    2012-01-01

    Including the energy profile of the computing infrastructure in the decision process for scheduling computing tasks and allocating resources is essential to improve the system energy efficiency. However, the lack of an effective model of the infrastructure energy information makes it difficult for

  1. 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.

  2. 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.

  3. The Use of Function/Means Trees for Modelling Technical, Semantic and Business Functions

    DEFF Research Database (Denmark)

    Robotham, Antony John

    2000-01-01

    This paper considers the feasibility of using the function/means tree to create a single tree for a complete motor vehicle. It is argued that function/means trees can be used for modelling technical and semantic functions, but it is an inappropriate method for business functions when one tree...... of the vehicle is required. Life cycle modelling provides an effective means for determining all the required purpose functions and is considered a more effective method than the function/means tree for this task when the structure and mode of operation of the vehicle is well defined and understood....

  4. 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

  5. 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...... response to packaging....

  6. Connectivity and thought: the influence of semantic network structure in a neurodynamical model of thinking.

    Science.gov (United States)

    Marupaka, Nagendra; Iyer, Laxmi R; Minai, Ali A

    2012-08-01

    Understanding cognition has been a central focus for psychologists, neuroscientists and philosophers for thousands of years, but many of its most fundamental processes remain very poorly understood. Chief among these is the process of thought itself: the spontaneous emergence of specific ideas within the stream of consciousness. It is widely accepted that ideas, both familiar and novel, arise from the combination of existing concepts. From this perspective, thought is an emergent attribute of memory, arising from the intrinsic dynamics of the neural substrate in which information is embedded. An important issue in any understanding of this process is the relationship between the emergence of conceptual combinations and the dynamics of the underlying neural networks. Virtually all theories of ideation hypothesize that ideas arise during the thought process through association, each one triggering the next through some type of linkage, e.g., structural analogy, semantic similarity, polysemy, etc. In particular, it has been suggested that the creativity of ideation in individuals reflects the qualitative structure of conceptual associations in their minds. Interestingly, psycholinguistic studies have shown that semantic networks across many languages have a particular type of structure with small-world, scale free connectivity. So far, however, these related insights have not been brought together, in part because there has been no explicitly neural model for the dynamics of spontaneous thought. Recently, we have developed such a model. Though simplistic and abstract, this model attempts to capture the most basic aspects of the process hypothesized by theoretical models within a neurodynamical framework. It represents semantic memory as a recurrent semantic neural network with itinerant dynamics. Conceptual combinations arise through this dynamics as co-active groups of neural units, and either dissolve quickly or persist for a time as emergent metastable attractors

  7. 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.

  8. Intelligent semantic interoperability: Integrating knowledge, terminology and information models to support stroke care.

    Science.gov (United States)

    Goossen, William T F

    2006-01-01

    Electronic patient record (EPR) systems for the continuity of care for stroke patient are under development. These systems are based on standards such as for clinical practice, vocabularies, and the HL7 information model. In order to achieve intelligent semantic interoperability, knowledge about evidence based patient care, vocabulary and information models need to be integrated. A format was developed in which the clinical knowledge, clinical terminology, and standard information models are integrated as specification for the technical implementation of electronic health systems and electronic messages. This format is verified by clinicians and technicians. The document structure consists of meta-information such as version control and changes, purpose of the clinical content, evidence from the literature, variables and values, terminology used, guidelines for application and interpretation, HL7 message models, coding, and technical data specification. Further, XML message excerpts, archetypes and screen designs are developed from these documents to facilitate implementation. The combination of these aspects in one document creates valuable content for intelligent semantic interoperability by means of development of messages and systems.

  9. Elucidating unconscious processing with instrumental hypnosis

    Science.gov (United States)

    Landry, Mathieu; Appourchaux, Krystèle; Raz, Amir

    2014-01-01

    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. PMID:25120504

  10. 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.

  11. 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

  12. Simulating episodic memory deficits in semantic dementia with the TraceLink model

    NARCIS (Netherlands)

    Meeter, M.; Murre, J.M.J.

    2004-01-01

    Although semantic dementia is primarily characterised by deficits in semantic memory, episodic memory is also impaired. Patients show poor recall of old autobiographical and semantic memories, with better retrieval of recent experiences; they can form new memories, and normal performance on

  13. Two-dimensional hidden semantic information model for target saliency detection and eyetracking identification

    Science.gov (United States)

    Wan, Weibing; Yuan, Lingfeng; Zhao, Qunfei; Fang, Tao

    2018-01-01

    Saliency detection has been applied to the target acquisition case. This paper proposes a two-dimensional hidden Markov model (2D-HMM) that exploits the hidden semantic information of an image to detect its salient regions. A spatial pyramid histogram of oriented gradient descriptors is used to extract features. After encoding the image by a learned dictionary, the 2D-Viterbi algorithm is applied to infer the saliency map. This model can predict fixation of the targets and further creates robust and effective depictions of the targets' change in posture and viewpoint. To validate the model with a human visual search mechanism, two eyetrack experiments are employed to train our model directly from eye movement data. The results show that our model achieves better performance than visual attention. Moreover, it indicates the plausibility of utilizing visual track data to identify targets.

  14. 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.

  15. Generative Semantics.

    Science.gov (United States)

    King, Margaret

    The first section of this paper deals with the attempts within the framework of transformational grammar to make semantics a systematic part of linguistic description, and outlines the characteristics of the generative semantics position. The second section takes a critical look at generative semantics in its later manifestations, and makes a case…

  16. 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…

  17. 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.

  18. Combining computational models, semantic annotations and simulation experiments in a graph database

    Science.gov (United States)

    Henkel, Ron; Wolkenhauer, Olaf; Waltemath, Dagmar

    2015-01-01

    Model repositories such as the BioModels Database, the CellML Model Repository or JWS Online are frequently accessed to retrieve computational models of biological systems. However, their storage concepts support only restricted types of queries and not all data inside the repositories can be retrieved. In this article we present a storage concept that meets this challenge. It grounds on a graph database, reflects the models’ structure, incorporates semantic annotations and simulation descriptions and ultimately connects different types of model-related data. The connections between heterogeneous model-related data and bio-ontologies enable efficient search via biological facts and grant access to new model features. The introduced concept notably improves the access of computational models and associated simulations in a model repository. This has positive effects on tasks such as model search, retrieval, ranking, matching and filtering. Furthermore, our work for the first time enables CellML- and Systems Biology Markup Language-encoded models to be effectively maintained in one database. We show how these models can be linked via annotations and queried. Database URL: https://sems.uni-rostock.de/projects/masymos/ PMID:25754863

  19. 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.

  20. Requirements Level Semantics for UML Statecharts

    NARCIS (Netherlands)

    Smith, S.F.; Eshuis, H.; Talcott, C.L.; Wieringa, Roelf J.

    We propose a formal real-time semantics for UML statecharts aimed at the requirements level. A requirements-level model assumes perfect technology and has a considerably simpler semantics than an implementation level model. Our semantics is an adaptation of the Statemate statechart semantics, with

  1. Detailed clinical models: representing knowledge, data and semantics in healthcare information technology.

    Science.gov (United States)

    Goossen, William T F

    2014-07-01

    This paper will present an overview of the developmental effort in harmonizing clinical knowledge modeling using the Detailed Clinical Models (DCMs), and will explain how it can contribute to the preservation of Electronic Health Records (EHR) data. Clinical knowledge modeling is vital for the management and preservation of EHR and data. Such modeling provides common data elements and terminology binding with the intention of capturing and managing clinical information over time and location independent from technology. Any EHR data exchange without an agreed clinical knowledge modeling will potentially result in loss of information. Many attempts exist from the past to model clinical knowledge for the benefits of semantic interoperability using standardized data representation and common terminologies. The objective of each project is similar with respect to consistent representation of clinical data, using standardized terminologies, and an overall logical approach. However, the conceptual, logical, and the technical expressions are quite different in one clinical knowledge modeling approach versus another. There currently are synergies under the Clinical Information Modeling Initiative (CIMI) in order to create a harmonized reference model for clinical knowledge models. The goal for the CIMI is to create a reference model and formalisms based on for instance the DCM (ISO/TS 13972), among other work. A global repository of DCMs may potentially be established in the future.

  2. 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.

  3. Working memory can enhance unconscious visual perception.

    Science.gov (United States)

    Pan, Yi; Cheng, Qiu-Ping; Luo, Qian-Ying

    2012-06-01

    We demonstrate that unconscious processing of a stimulus property can be enhanced when there is a match between the contents of working memory and the stimulus presented in the visual field. Participants first held a cue (a colored circle) in working memory and then searched for a brief masked target shape presented simultaneously with a distractor shape. When participants reported having no awareness of the target shape at all, search performance was more accurate in the valid condition, where the target matched the cue in color, than in the neutral condition, where the target mismatched the cue. This effect cannot be attributed to bottom-up perceptual priming from the presentation of a memory cue, because unconscious perception was not enhanced when the cue was merely perceptually identified but not actively held in working memory. These findings suggest that reentrant feedback from the contents of working memory modulates unconscious visual perception.

  4. 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.

  5. Structure mapping and semantic integration in a construction-based neurolinguistic model of sentence processing.

    Science.gov (United States)

    Dominey, Peter Ford; Hoen, Michel

    2006-05-01

    The current research provides a theoretical, computational and neurophysiological framework in which particular aspects of sentence comprehension and non-linguistic sequence transformation processing are implemented by a common neural mechanism for structure mapping. The theoretical context is derived from construction grammar theory in which language is considered in terms of a structured inventory of form to meaning mappings. Computationally, the construction grammar concept is implemented in a hybrid neural network model that is derived from functional neuroanatomical studies. In particular, based on data from Hoen et al. (2006, this issue), the generalized structure mapping capability is attributed to a local cortical network that includes Brodmann's area (BA) 44, while the integration of semantic structure into this transformation mechanism relies on BA 45.

  6. 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.

  7. 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

  8. Testing a model for bilingual semantic priming with interlingual homographs : RT and N400 effects

    NARCIS (Netherlands)

    Kerkhofs, R.; Dijkstra, A.F.J.; Chwilla, D.J.; Bruijn, E.R.A. de

    2006-01-01

    Using a semantic priming paradigm, this study examines the effects of semantic and lexical-ortho graphic context on reaction times (RTs) and event-related potentials (ERPs) for interlingual homographs. Dutch-English bilinguals performed an English lexical decision task in which homographs like STEM

  9. Designing Collaborative E-Learning Environments Based upon Semantic Wiki: From Design Models to Application Scenarios

    Science.gov (United States)

    Li, Yanyan; Dong, Mingkai; Huang, Ronghuai

    2011-01-01

    The knowledge society requires life-long learning and flexible learning environment that enables fast, just-in-time and relevant learning, aiding the development of communities of knowledge, linking learners and practitioners with experts. Based upon semantic wiki, a combination of wiki and Semantic Web technology, this paper designs and develops…

  10. Scopes describe frames : A uniform model for memory layout in dynamic semantics

    NARCIS (Netherlands)

    Poulsen, C.B.; Neron, P.J.M.; Tolmach, Andrew; Visser, Eelco; Krishnamurthi, Shriram; Lerner, Benjamin S.

    2016-01-01

    Semantic specifications do not make a systematic connection between the names and scopes in the static structure of a program and memory layout, and access during its execution. In this paper we introduce a systematic approach to the alignment of names in static semantics and memory in dynamic

  11. QoS model for discovery of semantic web services | Rambo ...

    African Journals Online (AJOL)

    Technology on semantic web services nowadays addresses only the synthetic services. These therefore provide limited sets of rigid services that cannot adapt to present contemporary changing environment. In this work, we propose an approach that would automate semantic service location, however, some conceptual ...

  12. A Metadata Model for Semantics-Based Peer-to-Peer Systems

    NARCIS (Netherlands)

    Ehrig, Marc; Tempich, Ch.; Broekstra, Jeen; van Harmelen, Frank; Sabou, Marta; Siebes, Ronny; Staab, Steffen; Stuckenschmidt, Heiner

    2003-01-01

    Peer-to-Peer systems are a new paradigm for information sharing and some systems have successfully been deployed. It has been argued that current Peer-to-Peer systems suffer from the lack of semantics. The SWAP project (Semantic Web and Peer-to-Peer) aims at overcoming this problem by combining the

  13. EXTRACTING SEMANTIC BUILDING MODELS FROM AERIAL STEREO IMAGES AND CONVERSION TO CITYGML

    Directory of Open Access Journals (Sweden)

    A. Sengul

    2012-07-01

    Full Text Available The collection of geographic data is of primary importance for the creation and maintenance of a GIS. Traditionally the acquisition of 3D information has been the task of photogrammetry using aerial stereo images. Digital photogrammetric systems employ sophisticated software to extract digital terrain models or to plot 3D objects. The demand for 3D city models leads to new applications and new standards. City Geography Mark-up Language (CityGML, a concept for modelling and exchange of 3D city and landscape models, defines the classes and relations for the most relevant topographic objects in cities and regional models with respect to their geometrical, topological, semantically and topological properties. It now is increasingly accepted, since it fulfils the prerequisites required e.g. for risk analysis, urban planning, and simulations. There is a need to include existing 3D information derived from photogrammetric processes in CityGML databases. In order to filling the gap, this paper reports on a framework transferring data plotted by Erdas LPS and Stereo Analyst for ArcGIS software to CityGML using Safe Software's Feature Manupulate Engine (FME

  14. Can the meaning of multiple words be integrated unconsciously?

    NARCIS (Netherlands)

    van Gaal, S.; Naccache, L.; Meuwese, J.D.I.; van Loon, A.M.; Leighton, A.H.; Cohen, L.; Dehaene, S.

    2014-01-01

    What are the limits of unconscious language processing? Can language circuits process simple grammatical constructions unconsciously and integrate the meaning of several unseen words? Using behavioural priming and electroencephalography (EEG), we studied a specific rule-based linguistic operation

  15. Assessing unconsciousness in livestock at slaughter

    NARCIS (Netherlands)

    Verhoeven, Merel

    2016-01-01

    Assessing unconsciousness in livestock at different stages of the slaughter process is a legal requirement according to EU legislation. The assessment can be based on absence of readily observable indicators (behavioural indicators, physical signs and reflexes) or, under experimental conditions, by

  16. 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…

  17. 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…

  18. 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

  19. Semantic Modeling of Administrative Procedures from a Spanish Regional Public Administration

    Directory of Open Access Journals (Sweden)

    Francisco José Hidalgo López

    2018-02-01

    Full Text Available Over the past few years, Public Administrations have been providing systems for procedures and files electronic processing to ensure compliance with regulations and provide public services to citizens. Although each administration provides similar services to their citizens, these systems usually differ from the internal information management point of view since they usually come from different products and manufacturers. The common framework that regulations demand, and that Public Administrations must respect when processing electronic files, provides a unique opportunity for the development of intelligent agents in the field of administrative processes. However, for this development to be truly effective and applicable to the public sector, it is necessary to have a common representation model for these administrative processes. Although a lot of work has already been done in the development of public information reuse initiatives and common vocabularies standardization, this has not been carried out at the processes level. In this paper, we propose a semantic representation model of both processes models and processes for Public Administrations: the procedures and administrative files. The goal is to improve public administration open data initiatives and help to develop their sustainability policies, such as improving decision-making procedures and administrative management sustainability. As a case study, we modelled public administrative processes and files in collaboration with a Regional Public Administration in Spain, the Principality of Asturias, which enabled access to its information systems, helping the evaluation of our approach.

  20. 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.

  1. Functional Semantics.

    Science.gov (United States)

    1982-01-01

    semantics *a combines feaum of te opgrdona and denotonal medds dscb TW Ine"ad -h epR umny, ardlyc to , m caklu-𔄁-w. allows pWram meaninS to be obtained bons... learn the method without much understanding.) There is a further component to a semantic theory that we do not intend to address here, which for the

  2. Montague semantics

    NARCIS (Netherlands)

    Janssen, T.M.V.

    2012-01-01

    Montague semantics is a theory of natural language semantics and of its relation with syntax. It was originally developed by the logician Richard Montague (1930-1971) and subsequently modified and extended by linguists, philosophers, and logicians. The most important features of the theory are its

  3. Annotation of rule-based models with formal semantics to enable creation, analysis, reuse and visualization.

    Science.gov (United States)

    Misirli, Goksel; Cavaliere, Matteo; Waites, William; Pocock, Matthew; Madsen, Curtis; Gilfellon, Owen; Honorato-Zimmer, Ricardo; Zuliani, Paolo; Danos, Vincent; Wipat, Anil

    2016-03-15

    Biological systems are complex and challenging to model and therefore model reuse is highly desirable. To promote model reuse, models should include both information about the specifics of simulations and the underlying biology in the form of metadata. The availability of computationally tractable metadata is especially important for the effective automated interpretation and processing of models. Metadata are typically represented as machine-readable annotations which enhance programmatic access to information about models. Rule-based languages have emerged as a modelling framework to represent the complexity of biological systems. Annotation approaches have been widely used for reaction-based formalisms such as SBML. However, rule-based languages still lack a rich annotation framework to add semantic information, such as machine-readable descriptions, to the components of a model. We present an annotation framework and guidelines for annotating rule-based models, encoded in the commonly used Kappa and BioNetGen languages. We adapt widely adopted annotation approaches to rule-based models. We initially propose a syntax to store machine-readable annotations and describe a mapping between rule-based modelling entities, such as agents and rules, and their annotations. We then describe an ontology to both annotate these models and capture the information contained therein, and demonstrate annotating these models using examples. Finally, we present a proof of concept tool for extracting annotations from a model that can be queried and analyzed in a uniform way. The uniform representation of the annotations can be used to facilitate the creation, analysis, reuse and visualization of rule-based models. Although examples are given, using specific implementations the proposed techniques can be applied to rule-based models in general. The annotation ontology for rule-based models can be found at http://purl.org/rbm/rbmo The krdf tool and associated executable examples are

  4. Annotation of rule-based models with formal semantics to enable creation, analysis, reuse and visualization

    Science.gov (United States)

    Misirli, Goksel; Cavaliere, Matteo; Waites, William; Pocock, Matthew; Madsen, Curtis; Gilfellon, Owen; Honorato-Zimmer, Ricardo; Zuliani, Paolo; Danos, Vincent; Wipat, Anil

    2016-01-01

    Motivation: Biological systems are complex and challenging to model and therefore model reuse is highly desirable. To promote model reuse, models should include both information about the specifics of simulations and the underlying biology in the form of metadata. The availability of computationally tractable metadata is especially important for the effective automated interpretation and processing of models. Metadata are typically represented as machine-readable annotations which enhance programmatic access to information about models. Rule-based languages have emerged as a modelling framework to represent the complexity of biological systems. Annotation approaches have been widely used for reaction-based formalisms such as SBML. However, rule-based languages still lack a rich annotation framework to add semantic information, such as machine-readable descriptions, to the components of a model. Results: We present an annotation framework and guidelines for annotating rule-based models, encoded in the commonly used Kappa and BioNetGen languages. We adapt widely adopted annotation approaches to rule-based models. We initially propose a syntax to store machine-readable annotations and describe a mapping between rule-based modelling entities, such as agents and rules, and their annotations. We then describe an ontology to both annotate these models and capture the information contained therein, and demonstrate annotating these models using examples. Finally, we present a proof of concept tool for extracting annotations from a model that can be queried and analyzed in a uniform way. The uniform representation of the annotations can be used to facilitate the creation, analysis, reuse and visualization of rule-based models. Although examples are given, using specific implementations the proposed techniques can be applied to rule-based models in general. Availability and implementation: The annotation ontology for rule-based models can be found at http

  5. 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.

  6. Acquiring Semantically Meaningful Models for Robotic Localization, Mapping and Target Recognition

    Science.gov (United States)

    2014-12-21

    Semantic Parsing for Robotic Systems, July 12, 2014, Invited Speaker Workshop on Long Term Autonomy , IEEE ICRA 2015, Hong Kong, Semantic...of combining weak learners to provide a more complex hypothesis. In AdaBoost Descriptor type description C1 75 dim. histogram HSV values T1 240 dim...weight ↵, which is learned during the training phase. Incorporating the Decision tree as weak learner has the inherent advantage of selecting the more

  7. An Ontology of Quality Initiatives and a Model for Decentralized, Collaborative Quality Management on the (Semantic) World Wide Web

    Science.gov (United States)

    2001-01-01

    This editorial provides a model of how quality initiatives concerned with health information on the World Wide Web may in the future interact with each other. This vision fits into the evolving "Semantic Web" architecture - ie, the prospective that the World Wide Web may evolve from a mess of unstructured, human-readable information sources into a global knowledge base with an additional layer providing richer and more meaningful relationships between resources. One first prerequisite for forming such a "Semantic Web" or "web of trust" among the players active in quality management of health information is that these initiatives make statements about themselves and about each other in a machine-processable language. I present a concrete model on how this collaboration could look, and provide some recommendations on what the role of the World Health Organization (WHO) and other policy makers in this framework could be. PMID:11772549

  8. Unconscious conflict of interest: a Jewish perspective.

    Science.gov (United States)

    Gold, Azgad; Appelbaum, Paul S

    2011-07-01

    In contemporary medicine, it is not always obvious whether the acceptance of a benefit constitutes a conflict of interest. A particular area of controversy has been the impact of small gifts or other benefits from pharmaceutical companies on physicians' behaviour. Typically, in such cases, the gift is not an explicit reward for cooperation; the physician does not perceive the gift as an attempt to influence his or her judgement; and the reward is relatively minor. Under these circumstances, physicians are generally of the view that acceptance of gifts will not affect their behaviour, notwithstanding findings from social psychology and neuroscience that the impact of gifts is often unconscious, shaping action without a person's awareness. Here, we draw on traditional texts of Jewish law pertaining to the prohibition of taking a gift to illustrate recognition by the ancients of unconscious conflicts of interest, and their approach to dealing with the problem.

  9. A unified computational account of cumulative semantic, semantic blocking, and semantic distractor effects in picture naming.

    Science.gov (United States)

    Roelofs, Ardi

    2018-03-01

    Computational models of lexical selection in spoken word production have been applied to semantic interference effects in picture naming response times obtained with continuous naming, blocked-cyclic naming, and picture-word interference paradigms. However, a unified computational account of the effects in the three paradigms is lacking. Here, I show that the inclusion of conceptual bias in the WEAVER++model (Levelt, Roelofs, & Meyer, 1999) explains cumulative semantic and semantic blocking effects while preserving the model's account of semantic distractor effects. The key assumptions of the account are (1) lexical selection by competition, and (2) a conceptual origin and lexical locus of the semantic effects. I provide a proof of concept of the account by reporting computer simulation results, addressing behavioral and neuroimaging evidence. The assumptions are sufficient for a unified account of semantic effects in the three paradigms, contrary to pessimistic views of this area. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. Unconscious phantasy: Some historical and conceptual dimensions.

    Science.gov (United States)

    Bell, David

    2017-06-01

    This paper seeks firstly to grasp both conceptually and historically the different phenomenologies that are captured by the term 'Unconscious Phantasy'. The term is shown to refer to a number of distinct though overlapping conceptual domains. These include: phantasy as scene, phantasy as representation of drive, phantasy as representation of wish as its fulfilment, phantasy as split off activity of the mind functioning under the aegis of the pleasure principle; phantasy as representation of the minds own activities (which Wollheim calls' the way "the mind represents its own activities to itself''). Lastly unconscious phantasy is understood as being the basic foundation of all mental life, including drives, impulses, all anxiety situations and defences. Having mapped out this territory through following the development of the concept in the work of Freud and Klein, the author draws on the work of the philosopher Richard Wollheim who, the author contends, has made a fundamental contribution to our conceptual understanding of unconscious phantasy. In the last section of the paper, the author draws a distinction between what he terms 'objects' (namely psychic objects) and what he terms 'facts'. It is suggested that this distinction, though implicit in much of our work, benefits from being made explicit and that in so doing an important dimension of analytic work is illuminated. We aim to help the patient to discover what he is like, to understand the ways in which he conceives and misconceives himself, to unravel the fact-ness of himself and his world from its 'object qualities', to differentiate between unconscious phantasy and reality. Copyright © 2017 Institute of Psychoanalysis.

  11. Assessing unconsciousness in livestock at slaughter

    OpenAIRE

    Verhoeven, Merel

    2016-01-01

    Assessing unconsciousness in livestock at different stages of the slaughter process is a legal requirement according to EU legislation. The assessment can be based on absence of readily observable indicators (behavioural indicators, physical signs and reflexes) or, under experimental conditions, by recording and subsequent assessment of brain activity as presented in an electroencephalogram (EEG). There is no consensus, however, to what extent different behavioural indicators, physical signs ...

  12. Formation of semantic associations between subliminally presented face-word pairs.

    Science.gov (United States)

    Duss, Simone B; Oggier, Sereina; Reber, Thomas P; Henke, Katharina

    2011-09-01

    Recent evidence suggests that consciousness of encoding is not necessary for the rapid formation of new semantic associations. We investigated whether unconsciously formed associations are as semantically precise as would be expected for associations formed with consciousness of encoding during episodic memory formation. Pairs of faces and written occupations were presented subliminally for unconscious associative encoding. Five minutes later, the same faces were presented suprathreshold for the cued unconscious retrieval of face-occupation associations. Retrieval instructions required participants to classify the presented individuals according to their putative (1) regularity of income, (2) length of education, and (3) creativity value of occupational activity. The three instructions yielded more classifications consistent with a person's occupation if the person had been subliminally presented with his written occupation versus a meaningless word (control condition). This suggests that consciousness is not necessary to encode, long-term store, and retrieve semantically precise associations between primarily unrelated items. Copyright © 2011 Elsevier Inc. All rights reserved.

  13. 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

  14. 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....

  15. 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.

  16. Effects of semantic cues on mathematical modeling: evidence from word-problem solving and equation construction tasks.

    Science.gov (United States)

    Martin, Shirley A; Bassok, Miriam

    2005-04-01

    Mathematical solutions to textbook word problems are correlated with semantic relations between the objects described in the problem texts. In particular, division problems usually involve functionally related objects (e.g., tulips-vases) and rarely involve categorically related objects (e.g., tulips-daisies). We examined whether middle school, high school, and college students use object relations when they solve division word problems (WP) or perform the less familiar task of representing verbal statements with algebraic equations (EQ). Both tasks involved multiplicative comparison statements with either categorically or functionally related objects (e.g., "four times as many cupcakes [commuters] as brownies [automobiles]"). Object relations affected the frequency of correct solutions in the WP task but not in the EQ task. In the latter task, object relations did affect the structure of nonalgebraic equation errors. We argue that students use object relations as "semantic cues" when they engage in the sense-making activity of mathematical modeling.

  17. 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

  18. 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.

  19. Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications.

    Science.gov (United States)

    Clark, Tim; Ciccarese, Paolo N; Goble, Carole A

    2014-01-01

    Scientific publications are documentary representations of defeasible arguments, supported by data and repeatable methods. They are the essential mediating artifacts in the ecosystem of scientific communications. The institutional "goal" of science is publishing results. The linear document publication format, dating from 1665, has survived transition to the Web. Intractable publication volumes; the difficulty of verifying evidence; and observed problems in evidence and citation chains suggest a need for a web-friendly and machine-tractable model of scientific publications. This model should support: digital summarization, evidence examination, challenge, verification and remix, and incremental adoption. Such a model must be capable of expressing a broad spectrum of representational complexity, ranging from minimal to maximal forms. The micropublications semantic model of scientific argument and evidence provides these features. Micropublications support natural language statements; data; methods and materials specifications; discussion and commentary; challenge and disagreement; as well as allowing many kinds of statement formalization. The minimal form of a micropublication is a statement with its attribution. The maximal form is a statement with its complete supporting argument, consisting of all relevant evidence, interpretations, discussion and challenges brought forward in support of or opposition to it. Micropublications may be formalized and serialized in multiple ways, including in RDF. They may be added to publications as stand-off metadata. An OWL 2 vocabulary for micropublications is available at http://purl.org/mp. A discussion of this vocabulary along with RDF examples from the case studies, appears as OWL Vocabulary and RDF Examples in Additional file 1. Micropublications, because they model evidence and allow qualified, nuanced assertions, can play essential roles in the scientific communications ecosystem in places where simpler, formalized and

  20. Towards an Integrated Visualization Of Semantically Enriched 3D City Models: An Ontology of 3D Visualization Techniques

    OpenAIRE

    Métral, Claudine; Ghoula, Nizar; Falquet, Gilles

    2012-01-01

    3D city models - which represent in 3 dimensions the geometric elements of a city - are increasingly used for an intended wide range of applications. Such uses are made possible by using semantically enriched 3D city models and by presenting such enriched 3D city models in a way that allows decision-making processes to be carried out from the best choices among sets of objectives, and across issues and scales. In order to help in such a decision-making process we have defined a framework to f...

  1. 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.

  2. NUDTSNA at TREC 2015 Microblog Track: A Live Retrieval System Framework for Social Network based on Semantic Expansion and Quality Model

    Science.gov (United States)

    2015-11-20

    rank algorithm and dy- namic threshold adjustment which utilize not only semantic features but also social attributes in social media . In periodic...time filtering task, the goal of the real- time filtering task is to explore technologies for monitoring a stream of social media posts with respect to...and recommendation performance in social media . For semantic features, we utilize different retrieval models, such as TFIDF, BM25, key word bool logic

  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. Models for User Access Patterns on the Web: Semantic Content versus Access History.

    Science.gov (United States)

    Ross, Arun; Owen, Charles B.; Vailaya, Aditya

    This paper focuses on clustering a World Wide Web site (i.e., the 1998 World Cup Soccer site) into groups of documents that are predictive of future user accesses. Two approaches were developed and tested. The first approach uses semantic information inherent in the documents to facilitate the clustering process. User access history is then used…

  5. 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...... communication” and propose to analyze them by focusing on the emotional articulations integrated in the users’ design language. We illustrate this with an example from a design research project on designing learning technology for young diabetics. The example shows how young people with diabetes can express...

  6. 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.

  7. A lifespan perspective on semantic processing of concrete concepts: does a sensory/motor model have the potential to bridge the gap?

    Science.gov (United States)

    Antonucci, Sharon M; Alt, Mary

    2011-12-01

    Research regarding semantic knowledge of objects is often conducted independently in children and adults. Review of these bodies of evidence suggests that the two literatures are often complementary. It seems critical to determine what we can learn from a developmental perspective, toward the common goal of understanding semantic organization. Here we focus on the proposal that semantic knowledge about concrete concepts may be built on the foundation of sensory/motor processes. In particular, we focus on a moderate formulation of this viewpoint, the sensory/motor model of semantic representations of objects (e.g., Gainotti 2007; Martin 2007), which has been examined utilizing behavioral, neuroimaging, and neuropsychological evidence. Taken together, behavioral and neuroimaging studies with infants, older children, and adults have suggested that patterns laid down in early childhood remain salient throughout the lifespan and may also predict patterns of deficit that emerge following brain injury.

  8. 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...

  9. 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.

  10. Assembly design semantic recognition using solid works-API

    OpenAIRE

    Hasan, Baha; Wikander, Jan; Onori, Mauro

    2016-01-01

    This paper describes a novel approach to recognize and model assembly semantic knowledge enclosed in product assembly features. The proposed approach is based on two stages: assembly semantic recognition and assembly semantic modelling. In the first stage, the internal boundary representation (B-rep) recognition method is utilized to extract assembly semantic knowledge from assembly CAD models using SolidWorks' API functions. In the second stage, a multi-level semantic assembly model is gener...

  11. Solar Potential Analysis and Integration of the Time-Dependent Simulation Results for Semantic 3d City Models Using Dynamizers

    Science.gov (United States)

    Chaturvedi, K.; Willenborg, B.; Sindram, M.; Kolbe, T. H.

    2017-10-01

    Semantic 3D city models play an important role in solving complex real-world problems and are being adopted by many cities around the world. A wide range of application and simulation scenarios directly benefit from the adoption of international standards such as CityGML. However, most of the simulations involve properties, whose values vary with respect to time, and the current generation semantic 3D city models do not support time-dependent properties explicitly. In this paper, the details of solar potential simulations are provided operating on the CityGML standard, assessing and estimating solar energy production for the roofs and facades of the 3D building objects in different ways. Furthermore, the paper demonstrates how the time-dependent simulation results are better-represented inline within 3D city models utilizing the so-called Dynamizer concept. This concept not only allows representing the simulation results in standardized ways, but also delivers a method to enhance static city models by such dynamic property values making the city models truly dynamic. The dynamizer concept has been implemented as an Application Domain Extension of the CityGML standard within the OGC Future City Pilot Phase 1. The results are given in this paper.

  12. 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…

  13. 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

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

    OpenAIRE

    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. Perform...

  15. Dynamics of the semantic priming shift: behavioral experiments and cortical network model

    OpenAIRE

    Lavigne, Frédéric; Dumercy, Laurent; Chanquoy, Lucile; Mercier, Brunissende; Vitu-Thibault, Françoise

    2012-01-01

    Multiple semantic priming processes between several related and/or unrelated words are at work during the processing of sequences of words. Multiple priming generates rich dynamics of effects depending on the relationship between the target word and the first and/or second prime previously presented. The experimental literature suggests that during the on-line processing of the primes, the activation can shift from associates to the first prime to associates to the second prime. Though the se...

  16. 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…

  17. 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.

  18. A Meta-Analysis on Unconscious Thought Effects

    NARCIS (Netherlands)

    Strick, M.A.; Dijksterhuis, A.J.; Bos, M.W.; Sjoerdsma, A.; Baaren, R.B. van; Nordgren, L.F.

    2011-01-01

    A meta-analysis was performed on the unconscious thought effect (UTE). All available published and unpublished data on unconscious thought were included. Our aims were to provide a statistically robust estimate of the effect size of the UTE, to identify significant moderators, and to

  19. Semantic Barbs and Biorthogonality

    OpenAIRE

    Rathke, J.; Sassone, V.; Sobocinski, P.

    2007-01-01

    We use the framework of biorthogonality to introduce a novel semantic definition of the concept of barb (basic observable) for process calculi. We develop a uniform basic theory of barbs and demonstrate its robustness by showing that it gives rise to the correct observables in specific process calculi which model synchronous, asynchronous and broadcast communication regimes.

  20. Building a semantic web-based metadata repository for facilitating detailed clinical modeling in cancer genome studies.

    Science.gov (United States)

    Sharma, Deepak K; Solbrig, Harold R; Tao, Cui; Weng, Chunhua; Chute, Christopher G; Jiang, Guoqian

    2017-06-05

    Detailed Clinical Models (DCMs) have been regarded as the basis for retaining computable meaning when data are exchanged between heterogeneous computer systems. To better support clinical cancer data capturing and reporting, there is an emerging need to develop informatics solutions for standards-based clinical models in cancer study domains. The objective of the study is to develop and evaluate a cancer genome study metadata management system that serves as a key infrastructure in supporting clinical information modeling in cancer genome study domains. We leveraged a Semantic Web-based metadata repository enhanced with both ISO11179 metadata standard and Clinical Information Modeling Initiative (CIMI) Reference Model. We used the common data elements (CDEs) defined in The Cancer Genome Atlas (TCGA) data dictionary, and extracted the metadata of the CDEs using the NCI Cancer Data Standards Repository (caDSR) CDE dataset rendered in the Resource Description Framework (RDF). The ITEM/ITEM_GROUP pattern defined in the latest CIMI Reference Model is used to represent reusable model elements (mini-Archetypes). We produced a metadata repository with 38 clinical cancer genome study domains, comprising a rich collection of mini-Archetype pattern instances. We performed a case study of the domain "clinical pharmaceutical" in the TCGA data dictionary and demonstrated enriched data elements in the metadata repository are very useful in support of building detailed clinical models. Our informatics approach leveraging Semantic Web technologies provides an effective way to build a CIMI-compliant metadata repository that would facilitate the detailed clinical modeling to support use cases beyond TCGA in clinical cancer study domains.

  1. Reference List About Implicit and Unconscious Bias

    DEFF Research Database (Denmark)

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

    to publications accessible through the CBS library website and/or specifications of where and how to access each publication. In addition, as part of this effort and in line with the task list of the Council for Diversity and Inclusion, the report “Gender and Leadership Practices at Copenhagen Business School......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...

  2. Cloned images and the optical unconscious

    DEFF Research Database (Denmark)

    Romic, Bojana

    In this presentation I would discuss the term optical unconscious as defined in the writings of Walter Benjamin and Rosalind Krauss, and propose a broadened definition of this term, taking into account the new media spreadability (Jenkins et al., 2013) and 'image cloning' (W.J.T. Mitchell, 2008...... of Neda- Agha Soltan* and the subsequent 'production of the hero'. End notes: * Victim of the post-election riot in Tehran in 2009. Her death has been recorded by a passer-by and uploaded on YouTube, causing an immediate response from the audiences worldwide. I find example particularly interesting...... of Images 2001-04. in: Costello, D. and Willsdon, D. (eds) (2008) The Life and Death of Images: Ethics and Aesthetics. London: Tate Publishing....

  3. [Logico-semantic modeling of the structure of the hardware and software of medico-biological measurements].

    Science.gov (United States)

    Ostapiuk, S F; Grum-Grzhimaĭlo, Iu V; Ionov, B V

    1989-01-01

    An optimal correlation between the development tendencies, the popular use of reliable, practically checked technical novelties, the creation and mastering of principally new types of technique and technology is of great value in the development of science and technology programme. This task is solved by logico-semantic modelling. The prospects of the stated approach are conditioned by the possibilities of automatization of the purpose-supposing approach, that during the elaboration of medical scientific and technical programmes leads to reduction of expenditures for carrying out this function, allows to raise the demands for structure and order of program realisation, removes the duplication of search operations and information transmission in the preparatory period, that finally reduces the elaboration time and increases the quality of scientific and technical programme, provides complex approach to medical information problems. The possibilities of the method of logico-semantic modelling are described on the example of structure of the branch scientific and technical programme formation, directed to elaboration of technical and program methods of the system of automatization of medico-biological measuring.

  4. 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…

  5. A Computational Model of Semantic Memory Impairment: Modality- Specificity and Emergent Category-Specificity

    Science.gov (United States)

    1991-09-01

    his performance to age - and education-matched normal subjects. We found that his performance fell outside of norrmal limits only for visual knowledge of...0 40 60 60 10’a0 .0 20 410 SI0 810 I00 %damage to Vtuml SomadIc Mamboo. % damage to tinctiorod amatic momery Figure 5b Training continued for 200...and functional semantic units 4,6- 0.0 NWWI GA4’ 0.4- too 0.2’ ¢0.2 0 20 40 o so 100 a 20 40 90 So 100 % ds- age to visua! sa6muank memory % ,4 dzm to

  6. 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.

  7. 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.

  8. Can the meaning of multiple words be integrated unconsciously?

    Science.gov (United States)

    van Gaal, Simon; Naccache, Lionel; Meuwese, Julia D I; van Loon, Anouk M; Leighton, Alexandra H; Cohen, Laurent; Dehaene, Stanislas

    2014-05-05

    What are the limits of unconscious language processing? Can language circuits process simple grammatical constructions unconsciously and integrate the meaning of several unseen words? Using behavioural priming and electroencephalography (EEG), we studied a specific rule-based linguistic operation traditionally thought to require conscious cognitive control: the negation of valence. In a masked priming paradigm, two masked words were successively (Experiment 1) or simultaneously presented (Experiment 2), a modifier ('not'/'very') and an adjective (e.g. 'good'/'bad'), followed by a visible target noun (e.g. 'peace'/'murder'). Subjects indicated whether the target noun had a positive or negative valence. The combination of these three words could either be contextually consistent (e.g. 'very bad - murder') or inconsistent (e.g. 'not bad - murder'). EEG recordings revealed that grammatical negations could unfold partly unconsciously, as reflected in similar occipito-parietal N400 effects for conscious and unconscious three-word sequences forming inconsistent combinations. However, only conscious word sequences elicited P600 effects, later in time. Overall, these results suggest that multiple unconscious words can be rapidly integrated and that an unconscious negation can automatically 'flip the sign' of an unconscious adjective. These findings not only extend the limits of subliminal combinatorial language processes, but also highlight how consciousness modulates the grammatical integration of multiple words.

  9. 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

  10. Pascal Semantics by a Combination of Denotational Semantics and High-level Petri Nets

    DEFF Research Database (Denmark)

    Jensen, Kurt; Schmidt, Erik Meineche

    1986-01-01

    This paper describes the formal semantics of a subset of PASCAL, by means of a semantic model based on a combination of denotational semantics and high-level Petri nets. It is our intention that the paper can be used as part of the written material for an introductory course in computer science....

  11. 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.

  12. Collaborative data model and data base development for paleoenvironmental and archaeological domain using Semantic MediaWiki

    Science.gov (United States)

    Willmes, C.

    2017-12-01

    In the frame of the Collaborative Research Centre 806 (CRC 806) an interdisciplinary research project, that needs to manage data, information and knowledge from heterogeneous domains, such as archeology, cultural sciences, and the geosciences, a collaborative internal knowledge base system was developed. The system is based on the open source MediaWiki software, that is well known as the software that enables Wikipedia, for its facilitation of a web based collaborative knowledge and information management platform. This software is additionally enhanced with the Semantic MediaWiki (SMW) extension, that allows to store and manage structural data within the Wiki platform, as well as it facilitates complex query and API interfaces to the structured data stored in the SMW data base. Using an additional open source software called mobo, it is possible to improve the data model development process, as well as automated data imports, from small spreadsheets to large relational databases. Mobo is a command line tool that helps building and deploying SMW structure in an agile, Schema-Driven Development way, and allows to manage and collaboratively develop the data model formalizations, that are formalized in JSON-Schema format, using version control systems like git. The combination of a well equipped collaborative web platform facilitated by Mediawiki, the possibility to store and query structured data in this collaborative database provided by SMW, as well as the possibility for automated data import and data model development enabled by mobo, result in a powerful but flexible system to build and develop a collaborative knowledge base system. Furthermore, SMW allows the application of Semantic Web technology, the structured data can be exported into RDF, thus it is possible to set a triple-store including a SPARQL endpoint on top of the database. The JSON-Schema based data models, can be enhanced into JSON-LD, to facilitate and profit from the possibilities of Linked Data

  13. A logical correspondence between natural semantics and abstract machines

    DEFF Research Database (Denmark)

    Simmons, Robert J.; Zerny, Ian

    2013-01-01

    We present a logical correspondence between natural semantics and abstract machines. This correspondence enables the mechanical and fully-correct construction of an abstract machine from a natural semantics. Our logical correspondence mirrors the Reynolds functional correspondence, but we...... manipulate semantic specifications encoded in a logical framework instead of manipulating functional programs. Natural semantics and abstract machines are instances of substructural operational semantics. As a byproduct, using a substructural logical framework, we bring concurrent and stateful models...

  14. A Semantics for Distributed Execution of Statemate

    DEFF Research Database (Denmark)

    Fränzle, Martin; Niehaus, Jürgen; Metzner, Alexander

    2003-01-01

    We present a semantics for the statechart variant implemented in the Statemate product of i-Logix. Our semantics enables distributed code generation for Statemate models in the context of rapid prototyping for embedded control applications. We argue that it seems impossible to efficiently generate......, 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...

  15. Dreaming: a gateway to the unconscious?

    Science.gov (United States)

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

    2017-10-01

    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.

  16. D.H. Lawrence's conception of the unconscious | Eruvbetine | Lagos ...

    African Journals Online (AJOL)

    , this work compares his work with that of Freud, as cited, utilised and criticised by Lawrence. Similarities are established in their basic delimitations of the unconscious while differences in their approaches are identified as the main source of ...

  17. The merits of unconscious thought in rule detection.

    Science.gov (United States)

    Li, Jiansheng; Zhu, Yawen; Yang, Yang

    2014-01-01

    According to unconscious thought theory (UTT), unconscious thought is more adept at complex decision-making than is conscious thought. Related research has mainly focused on the complexity of decision-making tasks as determined by the amount of information provided. However, the complexity of the rules generating this information also influences decision making. Therefore, we examined whether unconscious thought facilitates the detection of rules during a complex decision-making task. Participants were presented with two types of letter strings. One type matched a grammatical rule, while the other did not. Participants were then divided into three groups according to whether they made decisions using conscious thought, unconscious thought, or immediate decision. The results demonstrated that the unconscious thought group was more accurate in identifying letter strings that conformed to the grammatical rule than were the conscious thought and immediate decision groups. Moreover, performance of the conscious thought and immediate decision groups was similar. We conclude that unconscious thought facilitates the detection of complex rules, which is consistent with UTT.

  18. The merits of unconscious thought in rule detection.

    Directory of Open Access Journals (Sweden)

    Jiansheng Li

    Full Text Available According to unconscious thought theory (UTT, unconscious thought is more adept at complex decision-making than is conscious thought. Related research has mainly focused on the complexity of decision-making tasks as determined by the amount of information provided. However, the complexity of the rules generating this information also influences decision making. Therefore, we examined whether unconscious thought facilitates the detection of rules during a complex decision-making task. Participants were presented with two types of letter strings. One type matched a grammatical rule, while the other did not. Participants were then divided into three groups according to whether they made decisions using conscious thought, unconscious thought, or immediate decision. The results demonstrated that the unconscious thought group was more accurate in identifying letter strings that conformed to the grammatical rule than were the conscious thought and immediate decision groups. Moreover, performance of the conscious thought and immediate decision groups was similar. We conclude that unconscious thought facilitates the detection of complex rules, which is consistent with UTT.

  19. Procedural semantic cities

    OpenAIRE

    Roglà Pujalt, Otger; Pelechano Gómez, Núria; Patow, Gustavo Ariel

    2017-01-01

    Procedural modeling of virtual cities has achieved high levels of realism with little effort from the user. One can rapidly obtain a large city using off-the-shelf software based on procedural techniques, such as the use of CGA. However in order to obtain realistic virtual cities it is necessary to include virtual humanoids that behave realistically adapting to such environment. The first step towards achieving this goal requires tagging the environment with semantics, which is a time consumi...

  20. 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...

  1. High pressures in room evacuation processes and a first approach to the dynamics around unconscious pedestrians

    Science.gov (United States)

    Cornes, F. E.; Frank, G. A.; Dorso, C. O.

    2017-10-01

    Clogging raises as the principal phenomenon during many evacuation processes of pedestrians in an emergency situation. As people push to escape from danger, compression forces may increase to harming levels. Many individuals might fall down, while others will try to dodge the fallen people, or, simply pass through them. We studied the dynamics of the crowd for these situations, in the context of the "social force model". We modeled the unconscious (fallen) pedestrians as inanimate bodies that can be dodged (or not) by the surrounding individuals. We found that new morphological structures appear along the evacuating crowd. Under specific conditions, these structures may enhance the evacuation performance. The pedestrian's willings for either dodging or passing through the unconscious individuals play a relevant role in the overall evacuation performance.

  2. 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.

  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. 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

  5. Traces of unconscious mental processes in introspective reports and physiological responses.

    Directory of Open Access Journals (Sweden)

    Leonid Ivonin

    Full Text Available Unconscious mental processes have recently started gaining attention in a number of scientific disciplines. One of the theoretical frameworks for describing unconscious processes was introduced by Jung as a part of his model of the psyche. This framework uses the concept of archetypes that represent prototypical experiences associated with objects, people, and situations. Although the validity of Jungian model remains an open question, this framework is convenient from the practical point of view. Moreover, archetypes found numerous applications in the areas of psychology and marketing. Therefore, observation of both conscious and unconscious traces related to archetypal experiences seems to be an interesting research endeavor. In a study with 36 subjects, we examined the effects of experiencing conglomerations of unconscious emotions associated with various archetypes on the participants' introspective reports and patterns of physiological activations. Our hypothesis for this experiment was that physiological data may predict archetypes more precisely than introspective reports due to the implicit nature of archetypal experiences. Introspective reports were collected using the Self-Assessment Manikin (SAM technique. Physiological measures included cardiovascular, electrodermal, respiratory responses and skin temperature of the subjects. The subjects were stimulated to feel four archetypal experiences and four explicit emotions by means of film clips. The data related to the explicit emotions served as a reference in analysis of archetypal experiences. Our findings indicated that while prediction models trained on the collected physiological data could recognize the archetypal experiences with accuracy of 55 percent, similar models built based on the SAM data demonstrated performance of only 33 percent. Statistical tests enabled us to confirm that physiological observations are better suited for observation of implicit psychological constructs

  6. Traces of Unconscious Mental Processes in Introspective Reports and Physiological Responses

    Science.gov (United States)

    Ivonin, Leonid; Chang, Huang-Ming; Diaz, Marta; Catala, Andreu; Chen, Wei; Rauterberg, Matthias

    2015-01-01

    Unconscious mental processes have recently started gaining attention in a number of scientific disciplines. One of the theoretical frameworks for describing unconscious processes was introduced by Jung as a part of his model of the psyche. This framework uses the concept of archetypes that represent prototypical experiences associated with objects, people, and situations. Although the validity of Jungian model remains an open question, this framework is convenient from the practical point of view. Moreover, archetypes found numerous applications in the areas of psychology and marketing. Therefore, observation of both conscious and unconscious traces related to archetypal experiences seems to be an interesting research endeavor. In a study with 36 subjects, we examined the effects of experiencing conglomerations of unconscious emotions associated with various archetypes on the participants’ introspective reports and patterns of physiological activations. Our hypothesis for this experiment was that physiological data may predict archetypes more precisely than introspective reports due to the implicit nature of archetypal experiences. Introspective reports were collected using the Self-Assessment Manikin (SAM) technique. Physiological measures included cardiovascular, electrodermal, respiratory responses and skin temperature of the subjects. The subjects were stimulated to feel four archetypal experiences and four explicit emotions by means of film clips. The data related to the explicit emotions served as a reference in analysis of archetypal experiences. Our findings indicated that while prediction models trained on the collected physiological data could recognize the archetypal experiences with accuracy of 55 percent, similar models built based on the SAM data demonstrated performance of only 33 percent. Statistical tests enabled us to confirm that physiological observations are better suited for observation of implicit psychological constructs like archetypes

  7. Traces of unconscious mental processes in introspective reports and physiological responses.

    Science.gov (United States)

    Ivonin, Leonid; Chang, Huang-Ming; Diaz, Marta; Catala, Andreu; Chen, Wei; Rauterberg, Matthias

    2015-01-01

    Unconscious mental processes have recently started gaining attention in a number of scientific disciplines. One of the theoretical frameworks for describing unconscious processes was introduced by Jung as a part of his model of the psyche. This framework uses the concept of archetypes that represent prototypical experiences associated with objects, people, and situations. Although the validity of Jungian model remains an open question, this framework is convenient from the practical point of view. Moreover, archetypes found numerous applications in the areas of psychology and marketing. Therefore, observation of both conscious and unconscious traces related to archetypal experiences seems to be an interesting research endeavor. In a study with 36 subjects, we examined the effects of experiencing conglomerations of unconscious emotions associated with various archetypes on the participants' introspective reports and patterns of physiological activations. Our hypothesis for this experiment was that physiological data may predict archetypes more precisely than introspective reports due to the implicit nature of archetypal experiences. Introspective reports were collected using the Self-Assessment Manikin (SAM) technique. Physiological measures included cardiovascular, electrodermal, respiratory responses and skin temperature of the subjects. The subjects were stimulated to feel four archetypal experiences and four explicit emotions by means of film clips. The data related to the explicit emotions served as a reference in analysis of archetypal experiences. Our findings indicated that while prediction models trained on the collected physiological data could recognize the archetypal experiences with accuracy of 55 percent, similar models built based on the SAM data demonstrated performance of only 33 percent. Statistical tests enabled us to confirm that physiological observations are better suited for observation of implicit psychological constructs like archetypes than

  8. 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.

  9. Semantic integration of scientific publications and research data: proposal of model of expanded publication for the area of nuclear sciences

    International Nuclear Information System (INIS)

    Sales, Luana Farias

    2014-01-01

    This research takes place under the conditions of an arising scientific paradigm, known as e-Science or 4 th Scientific Paradigm. This new way of doing science is characterized by intensive use of computer networks, distributed digital repositories and by extraordinary generation of research data, which is a consequence of the heavy use of information and simulation technologies and advancing of scientific instrumentation. The information environment that is established as a result of these transformations significantly impacts the patterns of scientific communication, especially regarding to cooperative research, the sharing and reuse of information resources and ways to communicate and to disseminate research results. In order to create a context for their field of study, the thesis contributes to delineate new and renewed concepts for Information Science such as e-Science, curation of research data, complex digital objects, data repository, CRIS (Current Research Information System Model ) and others key infrastructures for the management of research and also of new conceptions of academic and scientific publications. The research is based on two assumptions: first raises the need for a model of scientific publication that would reflect the new standard for generating scientific knowledge characterized by data richness, and being able to integrate these data to publications; the second highlights that this can be performed according to the technological possibilities and standards arising from the Semantic Web. These two assumptions embody the formulation of the hypothesis raised by this thesis: a scientific publication can be enriched and be closer to new ways of generating knowledge, which characterizes contemporary science, if it is configured according to a model that links through semantic relations the research data and datasets to conventional publication. The method adopted was the deductive one, starting from general concepts of Information Science

  10. Modelling semantic emotion space using a 3D hypercube-projection: an innovative analytical approach for the psychology of emotions

    Directory of Open Access Journals (Sweden)

    Radek eTrnka

    2016-04-01

    Full Text Available 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.

  11. 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.

  12. Semantic Integration Technonolgies Survey

    OpenAIRE

    Kalfoglou, Yannis; Hu, Bo; Reynolds, Dave; Shadbolt, Nigel

    2005-01-01

    The \\underline{University of Southampton} and \\underline{Hewlett Packard Laboratories at Bristol} are collaborating in a joint project, CROSI, to investigate semantic integration. \\textbf{CROSI}, which stands for Capturing, Representing, and Operationalising Semantic Integration, aims to advance the state-of-the-art for semantic integration technologies. Semantic integration has become a much debated topic in today's research agenda, especially with the advent of the Semantic Web. Its roots, ...

  13. An Algebraic Specification of the Semantic Web

    OpenAIRE

    Ksystra, Katerina; Triantafyllou, Nikolaos; Stefaneas, Petros; Frangos, Panayiotis

    2011-01-01

    We present a formal specification of the Semantic Web, as an extension of the World Wide Web using the well known algebraic specification language CafeOBJ. Our approach allows the description of the key elements of the Semantic Web technologies, in order to give a better understanding of the system, without getting involved with their implementation details that might not yet be standardized. This specification is part of our work in progress concerning the modeling the Social Semantic Web.

  14. Initial Freudian theories and practices: considerations on discovery of the unconscious

    Directory of Open Access Journals (Sweden)

    Daniel Polimeni Maireno

    2014-06-01

    Full Text Available This article compares some theoretical postulates and some clinical practices of early moments of Freudian works, favoring production periods of Studies on Hysteria and the Interpretation of Dreams. Other works are cited in order to complement. The study highlights the role of concepts such as repression, resistance and transference before the emergence of the concept of the unconscious – without which all previous lose much of their senses; suggests that, rather than a Freud’s willful disposition in the formulation of concept of the unconscious, what we see is, instead, his reluctance to admit such a concept, which justifies its late appearance compared to the others. We conclude, finally, that such reluctance itself, conveys a valuable model to psychoanalysts about how theoretical and practical developments of psychoanalysis must happens.

  15. Semiotes: a semantics for sharing.

    Science.gov (United States)

    Kazic, T

    2000-12-01

    Reliable, automated communication of biological information requires methods to declare the information's semantics. In this paper I describe an approach to semantic declaration intended to permit independent, distributed databases, algorithms, and servers to exchange and process requests for information and computations without requiring coordination or agreement among them on universe of discourse, data model, schema, or implementation. This approach uses Glossa, a formal language defining the semantics of biological ideas, information, and algorithms, to executably define the semantics of complex ideas and computations by constructs of semiotes, terms which axiomatically define very simple notions. A database or algorithm wishing to exchange information or computations maintains a set of mappings between its particular notions and semiotes, and a parser to translate between its indigenous ideas and implementation and the semiotes. Requests from other databases or algorithms are issued as semiotic messages, locally interpreted and processed, and the results returned as semiotes to the requesting entity. Thus, semiotes serve as a shared, abstract layer of definitions which can be computably combined by each database or algorithm according to its own needs and ideas. By combining the explicit declaration of semantics with the computation of the semantics of complex ideas, Glossa and its semiotes permit independent computational entities to lightly federate their capabilities as desired while maintaining their unique perspectives on both scientific and technical questions.

  16. 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.

  17. Process model-based atomic service discovery and composition of composite semantic web services using web ontology language for services (OWL-S)

    Science.gov (United States)

    Paulraj, D.; Swamynathan, S.; Madhaiyan, M.

    2012-11-01

    Web Service composition has become indispensable as a single web service cannot satisfy complex functional requirements. Composition of services has received much interest to support business-to-business (B2B) or enterprise application integration. An important component of the service composition is the discovery of relevant services. In Semantic Web Services (SWS), service discovery is generally achieved by using service profile of Ontology Web Languages for Services (OWL-S). The profile of the service is a derived and concise description but not a functional part of the service. The information contained in the service profile is sufficient for atomic service discovery, but it is not sufficient for the discovery of composite semantic web services (CSWS). The purpose of this article is two-fold: first to prove that the process model is a better choice than the service profile for service discovery. Second, to facilitate the composition of inter-organisational CSWS by proposing a new composition method which uses process ontology. The proposed service composition approach uses an algorithm which performs a fine grained match at the level of atomic process rather than at the level of the entire service in a composite semantic web service. Many works carried out in this area have proposed solutions only for the composition of atomic services and this article proposes a solution for the composition of composite semantic web services.

  18. Diagnosis of Cognitive Impairment Compatible with Early Diagnosis of Alzheimer's Disease. A Bayesian Network Model based on the Analysis of Oral Definitions of Semantic Categories.

    Science.gov (United States)

    Guerrero, J M; Martínez-Tomás, R; Rincón, M; Peraita, H

    2016-01-01

    Early detection of Alzheimer's disease (AD) has become one of the principal focuses of research in medicine, particularly when the disease is incipient or even prodromic, because treatments are more effective in these stages. Lexical-semantic-conceptual deficit (LSCD) in the oral definitions of semantic categories for basic objects is an important early indicator in the evaluation of the cognitive state of patients. The objective of this research is to define an economic procedure for cognitive impairment (CI) diagnosis, which may be associated with early stages of AD, by analysing cognitive alterations affecting declarative semantic memory. Because of its low cost, it could be used for routine clinical evaluations or screenings, leading to more expensive and selective tests that confirm or rule out the disease accurately. It should necessarily be an explanatory procedure, which would allow us to study the evolution of the disease in relation to CI, the irregularities in different semantic categories, and other neurodegenerative diseases. On the basis of these requirements, we hypothesise that Bayesian networks (BNs) are the most appropriate tool for this purpose. We have developed a BN for CI diagnosis in mild and moderate AD patients by analysing the oral production of semantic features. The BN causal model represents LSCD in certain semantic categories, both of living things (dog, pine, and apple) and non-living things (chair, car, and trousers), as symptoms of CI. The model structure, the qualitative part of the model, uses domain knowledge obtained from psychology experts and epidemiological studies. Further, the model parameters, the quantitative part of the model, are learnt automatically from epidemiological studies and Peraita and Grasso's linguistic corpus of oral definitions. This corpus was prepared with an incidental sampling and included the analysis of the oral linguistic production of 81 participants (42 cognitively healthy elderly people and 39

  19. Reexamining unconscious response priming: A liminal-prime paradigm.

    Science.gov (United States)

    Avneon, Maayan; Lamy, Dominique

    2018-03-01

    Research on the limits of unconscious processing typically relies on the subliminal-prime paradigm. However, this paradigm is limited in the issues it can address. Here, we examined the implications of using the liminal-prime paradigm, which allows comparing unconscious and conscious priming with constant stimulation. We adapted an iconic demonstration of unconscious response priming to the liminal-prime paradigm. On the one hand, temporal attention allocated to the prime and its relevance to the task increased the magnitude of response priming. On the other hand, the longer RTs associated with the dual task inherent to the paradigm resulted in response priming being underestimated, because unconscious priming effects were shorter-lived than conscious-priming effects. Nevertheless, when the impact of long RTs was alleviated by considering the fastest trials or by imposing a response deadline, conscious response priming remained considerably larger than unconscious response priming. These findings suggest that conscious perception strongly modulates response priming. Copyright © 2017 Elsevier Inc. All rights reserved.

  20. A theory of blindsight--the anatomy of the unconscious: a proposal for the koniocellular projections and intralaminar thalamus.

    Science.gov (United States)

    Vakalopoulos, Costa

    2005-01-01

    This paper extends the concepts introduced by the theory of premotor relations to unconscious cognitive mechanisms. According to the theory conscious mechanisms are associated with behavioural diversity, whereas unconscious output is proposed to have an obligatory association with stereotypical behaviour. The respective processes are by definition a function of the type of reafferent motor input. Concepts of simple and complex premotor networks are introduced as a means of describing unconscious and conscious processes, respectively. Evidence shows that unconscious cognitive performance differs qualitatively from conscious mechanisms suggesting parallel processes. Although the postulated anatomical substrates for conscious and unconscious processes will function in this model as parallel segregated networks, it is proposed they are distributed throughout the same cortical areas of the brain. Motor reafference is postulated to be mediated via pallidal projections to the thalamic reticular nucleus, which is known to modulate thalamocortical pathways. The role of the koniocellular pathway of the lateral geniculate nucleus remains an enigma and has some properties in common with the well-described magnocellular and parvocellular projections. There is also much speculation about the intralaminar and midline nuclei, the so-called non-specific thalamus. The paper will examine the distinctive features of thalamocortical networks and the role of the koniocellular pathway and intralaminar nuclei (ILN) of the thalamus and suggest that they form a neuroanatomical substrate for the categorizing of unconscious cognitive processes. The ILN has unique projections back to the basal ganglia, which could serve in constraining associated neocortical networks with stereotypical behaviour and thus putative unconscious processing. Only after establishing such a theoretical framework can one hope to successfully analyze the empirical literature on the syndrome of blindsight, of which a

  1. 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

  2. Unconsciously Triggered Emotional Conflict by Emotional Facial Expressions

    Science.gov (United States)

    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. PMID:23409084

  3. Semantics Based on Conceptual Spaces

    Science.gov (United States)

    Gärdenfors, Peter

    The overall goal is to show that conceptual spaces are more promising than other ways of modelling the semantics of natural language. In particular, I will show how they can be used to model actions and events. I will also outline how conceptual spaces provide a cognitive grounding for word classes, including nouns, adjectives, prepositions and verbs.

  4. 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

  5. Bridging computational approaches to speech production: The semantic-lexical-auditory-motor model (SLAM).

    Science.gov (United States)

    Walker, Grant M; Hickok, Gregory

    2016-04-01

    Speech production is studied from both psycholinguistic and motor-control perspectives, with little interaction between the approaches. We assessed the explanatory value of integrating psycholinguistic and motor-control concepts for theories of speech production. By augmenting a popular psycholinguistic model of lexical retrieval with a motor-control-inspired architecture, we created a new computational model to explain speech errors in the context of aphasia. Comparing the model fits to picture-naming data from 255 aphasic patients, we found that our new model improves fits for a theoretically predictable subtype of aphasia: conduction. We discovered that the improved fits for this group were a result of strong auditory-lexical feedback activation, combined with weaker auditory-motor feedforward activation, leading to increased competition from phonologically related neighbors during lexical selection. We discuss the implications of our findings with respect to other extant models of lexical retrieval.

  6. Interdisciplinary semantic model for managing the design of a steam-assisted gravity drainage tooling system

    Directory of Open Access Journals (Sweden)

    Michael Leitch

    2018-01-01

    Full Text Available Complex engineering systems often require extensive coordination between different expert areas in order to avoid costly design iterations and rework. Cyber-physics system (CPS engineering methods could provide valuable insights to help model these interactions and optimize the design of such systems. In this work, steam assisted gravity drainage (SAGD, a complex oil extraction process that requires deep understanding of several physical-chemical phenomena, is examined whereby the complexities and interdependencies of the system are explored. Based on an established unified feature modeling scheme, a software modeling framework is proposed to manage the design process of the production tools used for SAGD oil extraction. Applying CPS methods to unify complex phenomenon and engineering models, the proposed CPS model combines effective simulation with embedded knowledge of completion tooling design in order to optimize reservoir performance. The system design is expressed using graphical diagrams of the unified modelling language (UML convention. To demonstrate the capability of this system, a distributed research group is described, and their activities coordinated using the described CPS model.

  7. Semantics via Machine Translation

    Science.gov (United States)

    Culhane, P. T.

    1977-01-01

    Recent experiments in machine translation have given the semantic elements of collocation in Russian more objective criteria. Soviet linguists in search of semantic relationships have attempted to devise a semantic synthesis for construction of a basic language for machine translation. One such effort is summarized. (CHK)

  8. A real-time execution semantics for UML activity diagrams

    NARCIS (Netherlands)

    Eshuis, H.; Wieringa, Roelf J.; Hussmann, Heinrich

    We define a formal execution semantics for UML activity diagrams that is appropriate for workflow modelling. Our semantics is aimed at the requirements level by assuming that software state changes do not take time. It is based upon the STATEMATE semantics of statecharts, extended with some

  9. Zen meditation and access to information in the unconscious

    NARCIS (Netherlands)

    Strick, M.A.; Noorden, T.H.J. van; Ritskes, R.R.; Ruiter, J.R. de; Dijksterhuis, A.J.

    2012-01-01

    In two experiments and two different research paradigms, we tested the hypothesis that Zen meditation increases access to accessible but unconscious information. Zen practitioners who meditated in the lab performed better on the Remote Associate Test (RAT; Mednick, 1962) than Zen practitioners who

  10. 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.

  11. Wishful Thinking and the Unconscious: A Reply to Gouws | Galgut ...

    African Journals Online (AJOL)

    This paper argues against the view that the Freudian unconscious can be understood as an extension of ordinary belief-desire psychology. The paper argues that Freud\\'s picture of the mind challenges the paradigm of folk psychology, as it is understood by much contemporary philosophy of psychology and cognitive ...

  12. Effects of Death Education on Conscious and Unconscious Death Anxiety.

    Science.gov (United States)

    Hayslip, Bert, Jr.; And Others

    1994-01-01

    Adults (n=162) varying in extent of participation in didactic or experiential forms of death education versus those who had no such exposure to death and dying-related issues completed measures of conscious and unconscious death fears. Findings suggest that didactic death education was effective in altering death anxiety, although effects were…

  13. Wishful Thinking and the Unconscious: A Reply to Gouws | Galgut ...

    African Journals Online (AJOL)

    ... psychology and cognitive science. The dynamic unconscious postulated by psychoanalysis operates according to rules and principles that are distinct in kind from those rules that organise rational and conscious thought. Psychoanalysis offers us a radical reconception of our ordinary way of thinking about our own minds.

  14. Unconscious Bias: When Good Intentions Aren't Enough

    Science.gov (United States)

    Fiarman, Sarah E.

    2016-01-01

    "A growing body of research shows that unconscious bias is not only common, but it's also a condition of being human," writes Fiarman. In this article, she argues that implicit biases about race, gender, sexual orientation, and other aspects of identity can overshadow even the best of intentions. Citing examples from her own practice as…

  15. 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.

  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. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  17. 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…

  18. Unconscious Priming According to Multiple S-R Rules

    Science.gov (United States)

    Kiesel, Andrea; Kunde, Wilfried; Hoffmann, Joachim

    2007-01-01

    The present study investigated if unconscious primes can be processed according to different stimulus-response (S-R) rules simultaneously. Participants performed two different S-R rules, such as judging a digit as smaller or larger than five and judging a letter as vowel or consonant. These S-R rules were administered in random order and announced…

  19. 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.

  20. Whiteliness and Institutional Racism: Hiding behind (Un)Conscious Bias

    Science.gov (United States)

    Tate, Shirley Anne; Page, Damien

    2018-01-01

    'Unconscious bias happens by our brains making incredibly quick judgements and assessments without us realising. Biases are influenced by background, cultural environment and experiences and we may not be aware of these views and opinions, or of their full impact and implications. This article opposes this point of view by arguing that bias is not…

  1. 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

  2. Derived Stimulus Relations, Semantic Priming, and Event-Related Potentials: Testing a Behavioral Theory of Semantic Networks

    Science.gov (United States)

    Barnes-Holmes, Dermot; Staunton, Carmel; Whelan, Robert; Barnes-Holmes, Yvonne; Commins, Sean; Walsh, Derek; Stewart, Ian; Smeets, Paul M.; Dymond, Simon

    2005-01-01

    Derived equivalence relations, it has been argued, provide a behavioral model of semantic or symbolic meaning in natural language, and thus equivalence relations should possess properties that are typically associated with semantic relations. The present study sought to test this basic postulate using semantic priming. Across three experiments,…

  3. A Model Based Framework for Semantic Interpretation of Architectural Construction Drawings

    Science.gov (United States)

    Babalola, Olubi Oluyomi

    2011-01-01

    The study addresses the automated translation of architectural drawings from 2D Computer Aided Drafting (CAD) data into a Building Information Model (BIM), with emphasis on the nature, possible role, and limitations of a drafting language Knowledge Representation (KR) on the problem and process. The central idea is that CAD to BIM translation is a…

  4. Separation of Concerns in Translational Semantics for DSLs in Model Engineering

    NARCIS (Netherlands)

    Cleenewerck, T.; Ivanov, Ivan

    2007-01-01

    Development of Domain Specific Languages (DSLs) in the context of Model Driven Engineering is gaining more and more popularity. As evolution lies in the heart of every software system, the major requirement for DSLs is that they should be modular and resilient to changes. MDE-based DSL frameworks

  5. 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.

  6. Integrating semantics and procedural generation: key enabling factors for declarative modeling of virtual worlds

    NARCIS (Netherlands)

    Bidarra, R.; Kraker, K.J. de; Smelik, R.M.; Tutenel, T.

    2010-01-01

    Manual content creation for virtual worlds can no longer satisfy the increasing demand arising from areas as entertainment and serious games, simulations, movies, etc. Furthermore, currently deployed modeling tools basically do not scale up: while they become more and more specialized and complex,

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

    DEFF Research Database (Denmark)

    Tomlein, Matus; Grønbæk, Kaj

    2016-01-01

    Applications in embedded open software ecosystems for Internet of Things devices open new challenges regarding how their variability and capabilities should be modeled. In collaboration with an industrial partner, we have recognized that such applications have complex constraints on the context. We...

  8. Tracking word semantic change in biomedical literature.

    Science.gov (United States)

    Yan, Erjia; Zhu, Yongjun

    2018-01-01

    Up to this point, research on written scholarly communication has focused primarily on syntactic, rather than semantic, analyses. Consequently, we have yet to understand semantic change as it applies to disciplinary discourse. The objective of this study is to illustrate word semantic change in biomedical literature. To that end, we identify a set of representative words in biomedical literature based on word frequency and word-topic probability distributions. A word2vec language model is then applied to the identified words in order to measure word- and topic-level semantic changes. We find that for the selected words in PubMed, overall, meanings are becoming more stable in the 2000s than they were in the 1980s and 1990s. At the topic level, the global distance of most topics (19 out of 20 tested) is declining, suggesting that the words used to discuss these topics are stabilizing semantically. Similarly, the local distance of most topics (19 out of 20) is also declining, showing that the meanings of words from these topics are becoming more consistent with those of their semantic neighbors. At the word level, this paper identifies two different trends in word semantics, as measured by the aforementioned distance metrics: on the one hand, words can form clusters with their semantic neighbors, and these words, as a cluster, coevolve semantically; on the other hand, words can drift apart from their semantic neighbors while nonetheless stabilizing in the global context. In relating our work to language laws on semantic change, we find no overwhelming evidence to support either the law of parallel change or the law of conformity. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. 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.

  10. 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

  11. Simplifying the Reuse and Interoperability of Geoscience Data Sets and Models with Semantic Metadata that is Human-Readable and Machine-actionable

    Science.gov (United States)

    Peckham, S. D.

    2017-12-01

    Standardized, deep descriptions of digital resources (e.g. data sets, computational models, software tools and publications) make it possible to develop user-friendly software systems that assist scientists with the discovery and appropriate use of these resources. Semantic metadata makes it possible for machines to take actions on behalf of humans, such as automatically identifying the resources needed to solve a given problem, retrieving them and then automatically connecting them (despite their heterogeneity) into a functioning workflow. Standardized model metadata also helps model users to understand the important details that underpin computational models and to compare the capabilities of different models. These details include simplifying assumptions on the physics, governing equations and the numerical methods used to solve them, discretization of space (the grid) and time (the time-stepping scheme), state variables (input or output), model configuration parameters. This kind of metadata provides a "deep description" of a computational model that goes well beyond other types of metadata (e.g. author, purpose, scientific domain, programming language, digital rights, provenance, execution) and captures the science that underpins a model. A carefully constructed, unambiguous and rules-based schema to address this problem, called the Geoscience Standard Names ontology will be presented that utilizes Semantic Web best practices and technologies. It has also been designed to work across science domains and to be readable by both humans and machines.

  12. 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

  13. Unconscious conflicts in unconscious contexts: the role of awareness and timing in flexible conflict adaptation.

    Science.gov (United States)

    Reuss, Heiko; Desender, Kobe; Kiesel, Andrea; Kunde, Wilfried

    2014-08-01

    Humans adapt to context-specific frequencies of response conflicts. Typically, the impact of conflict-inducing information is reduced in contexts with high compared to low frequency of conflict. We investigated how such context-specific conflict adaptation depends on awareness and timing of conflict-eliciting stimuli and conflict-signaling contexts. In a priming paradigm, we varied the visibility of the prime and whether the context is a feature of either prime or target. Concretely, the context was represented by the format of either prime (Experiment 1) or target (Experiment 2), which means that primes or targets of a particular format were associated with a high or low probability of conflict (i.e., prime-target incongruency). In both experiments, we found a context-specific modulation of congruency effects, both with masked and visible primes. To control for mechanisms of event learning in Experiments 3 and 4, context-specific conflict frequency was realized by inducing trials, while stimuli in test trials were associated with equal conflict frequency. We again found a context-specific congruency modulation when the prime represented the context, most interestingly also with masked primes within test trials. When the target represented the context, however, such a modulation occurred with visible primes, but not with masked primes. These results provide a compelling case for the unconscious exertion of a very flexible form of cognitive control. Context-specific conflict adaptation processes can basically operate independently of both conflict awareness and context awareness, but they depend on close temporal proximity of context and conflict information. PsycINFO Database Record (c) 2014 APA, all rights reserved.

  14. 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.

  15. 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.

  16. 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

  17. 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......-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...... and 129 patients (23%) were tracheally intubated by the MECU physician before or during transport to the hospital. Intubation was done in most patients with cardiac arrest, severe stroke or respiratory failure. Of the remaining 428 patients, 364 (85%) regained consciousness before being transported...

  18. 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. © 2011, The Society of Analytical Psychology.

  19. Neural Correlates of Unconsciousness in Large-Scale Brain Networks.

    Science.gov (United States)

    Mashour, George A; Hudetz, Anthony G

    2018-03-01

    The biological basis of consciousness is one of the most challenging and fundamental questions in 21st century science. A related pursuit aims to identify the neural correlates and causes of unconsciousness. We review current trends in the investigation of physiological, pharmacological, and pathological states of unconsciousness at the level of large-scale functional brain networks. We focus on the roles of brain connectivity, repertoire, graph-theoretical techniques, and neural dynamics in understanding the functional brain disconnections and reduced complexity that appear to characterize these states. Persistent questions in the field, such as distinguishing true correlates, linking neural scales, and understanding differential recovery patterns, are also addressed. Copyright © 2018 Elsevier Ltd. All rights reserved.

  20. 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.

  1. 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…

  2. 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

  3. 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.

  4. Indonesian Tourists’ Preferences Influence of Conscious and Unconscious Motives

    OpenAIRE

    Ismayanti Ismayanti; Ina Djamhur; Levyda Levyda

    2011-01-01

    Motivation is the foremost variable to explain the travel preferences. It is identified that there are two motives of travelling: inner intention as the unconscious motives and outer magnet as the conscious motives. Inner intentions derive from tourists’ mindset and push the actor to perform. Outer magnet is created by destination (tourism supplier, operators, hotelier etc.) to pull the customers. From 331 respondents in Jakarta (capital city) and Bandung as tourist generating regions in Indo...

  5. Unconscious bias against introverts in the recruitment and selection process

    OpenAIRE

    Braathen, Vilde Marie Lie; Sørensen, Martine Waller

    2017-01-01

    Masteroppgave(MSc) in Master of Science in Leadership and Organizational Psychology - Handelshøyskolen BI, 2017 The current study is an attempt to expand upon the limited research area of unconscious bias against certain personality types that may emerge during the employment interview. We proposed that an extraverted personality type would be favoured in the employment interview, and this was based on the notion that the interview situation, which is inherently a social intera...

  6. Auditory processing during deep propofol sedation and recovery from unconsciousness

    OpenAIRE

    Koelsch, Stefan; Heinke, Wolfgang; Sammler, Daniela; Olthoff, Derk

    2006-01-01

    Objective Using evoked potentials, this study investigated effects of deep propofol sedation, and effects of recovery from unconsciousness, on the processing of auditory information with stimuli suited to elicit a physical MMN, and a (music-syntactic) ERAN. Methods Levels of sedation were assessed using the Bispectral Index (BIS) and the Modified Observer's Assessment of Alertness and Sedation Scale (MOAAS). EEG-measurements were performed during wakefulness, deep propofol sedation (MOAAS 2–3...

  7. Ontological View-Driven Semantic Integration in Collaborative Networks

    Science.gov (United States)

    Xue, Yunjiao; Ghenniwa, Hamada H.; Shen, Weiming

    In collaborative enterprise networks, semantic heterogeneity is an important factor that hinders collaboration of various information systems. Ontology-driven semantic integration is an important category of solutions for the semantic integration problem. However, in many domains, there are no explicit and formal ontologies available. This paper proposes to adopt ontological views to address such challenges. It investigates the theoretical foundation of ontologies and ontological views. It presents a framework as a solution, based on the theoretical foundation, including the architecture of a semantic integration enabled environment, the modeling and representation of ontological views, and the semantic equivalence relationship discovered from the ontological views.

  8. 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.

  9. Semantic Audio Track Mixer

    OpenAIRE

    Uhle, C.; Herre, J.; Ridderbusch, F.; Popp, H.

    2011-01-01

    An audio mixer for mixing a plurality of audio tracks to a mixture signal comprises a semantic command interpreter (30; 35) for receiving a semantic mixing command and for deriving a plurality of mixing parameters for the plurality of audio tracks from the semantic mixing command; an audio track processor (70; 75) for processing the plurality of audio tracks in accordance with the plurality of mixing parameters; and an audio track combiner (76) for combining the plurality of audio tracks proc...

  10. 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

  11. 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

  12. 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

  13. Neural Semantic Encoders.

    Science.gov (United States)

    Munkhdalai, Tsendsuren; Yu, Hong

    2017-04-01

    We present a memory augmented neural network for natural language understanding: Neural Semantic Encoders. NSE is equipped with a novel memory update rule and has a variable sized encoding memory that evolves over time and maintains the understanding of input sequences through read , compose and write operations. NSE can also access multiple and shared memories. In this paper, we demonstrated the effectiveness and the flexibility of NSE on five different natural language tasks: natural language inference, question answering, sentence classification, document sentiment analysis and machine translation where NSE achieved state-of-the-art performance when evaluated on publically available benchmarks. For example, our shared-memory model showed an encouraging result on neural machine translation, improving an attention-based baseline by approximately 1.0 BLEU.

  14. Revealing common disease mechanisms shared by tumors of different tissues of origin through semantic representation of genomic alterations and topic modeling.

    Science.gov (United States)

    Chen, Vicky; Paisley, John; Lu, Xinghua

    2017-03-14

    Cancer is a complex disease driven by somatic genomic alterations (SGAs) that perturb signaling pathways and consequently cellular function. Identifying patterns of pathway perturbations would provide insights into common disease mechanisms shared among tumors, which is important for guiding treatment and predicting outcome. However, identifying perturbed pathways is challenging, because different tumors can have the same perturbed pathways that are perturbed by different SGAs. Here, we designed novel semantic representations that capture the functional similarity of distinct SGAs perturbing a common pathway in different tumors. Combining this representation with topic modeling would allow us to identify patterns in altered signaling pathways. We represented each gene with a vector of words describing its function, and we represented the SGAs of a tumor as a text document by pooling the words representing individual SGAs. We applied the nested hierarchical Dirichlet process (nHDP) model to a collection of tumors of 5 cancer types from TCGA. We identified topics (consisting of co-occurring words) representing the common functional themes of different SGAs. Tumors were clustered based on their topic associations, such that each cluster consists of tumors sharing common functional themes. The resulting clusters contained mixtures of cancer types, which indicates that different cancer types can share disease mechanisms. Survival analysis based on the clusters revealed significant differences in survival among the tumors of the same cancer type that were assigned to different clusters. The results indicate that applying topic modeling to semantic representations of tumors identifies patterns in the combinations of altered functional pathways in cancer.

  15. 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

  16. Morphological Cues for Lexical Semantics

    National Research Council Canada - National Science Library

    Light, Marc

    1996-01-01

    Most natural language processing tasks require lexical semantic information such as verbal argument structure and selectional restrictions, corresponding nominal semantic class, verbal aspectual class...

  17. Quality of semantic standards

    NARCIS (Netherlands)

    Folmer, E.J.A.

    2012-01-01

    Little scientific literature addresses the issue of quality of semantic standards, albeit a problem with high economic and social impact. Our problem survey, including 34 semantic Standard Setting Organizations (SSOs), gives evidence that quality of standards can be improved, but for improvement a

  18. 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 sem...

  19. Semantic Web challenge 2003

    NARCIS (Netherlands)

    Klein, Michel; Visser, Ubbo

    The concept of the semantic web application and the challenge of using the semantic web techniques to build an online application that deduces, combines, and integrates information are discussed. The application must use information sources that are heterogeneous and geographically distributed, and

  20. Integration of Semantic and Episodic Memories.

    Science.gov (United States)

    Horzyk, Adrian; Starzyk, Janusz A; Graham, James

    2017-12-01

    This paper describes the integration of semantic and episodic memory (EM) models and the benefits of such integration. Semantic memory (SM) is used as a foundation of knowledge and concept learning, and is needed for the operation of any cognitive system. EM retains personal experiences stored based on their significance-it is supported by the SM, and in return, it supports SM operations. Integrated declarative memories are critical for cognitive system development, yet very little research has been done to develop their computational models. We considered structural self-organization of both semantic and episodic memories with a symbolic representation of input events. Sequences of events are stored in EM and are used to build associations in SM. We demonstrated that integration of semantic and episodic memories improves the native operation of both types of memories. Experimental results are presented to illustrate how the two memories complement each other by improving recognition, prediction, and context-based generalization of individual memories.

  1. Semantic technologies for distributed information systems

    OpenAIRE

    Haase, Peter

    2007-01-01

    In this book we show how semantic technologies and in particular the use of ontologies can be employed to address a number of typical challenges in distributed information systems: First, we illustrate how ontologies enable the integration of information across heterogeneous nodes. Second, we show how ontology evolution allows dealing with the dynamics in the information in a consistent manner. Third, we present a model for ontologybased coordination using semantic overlay networks.

  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. Semantic Networks and Neural Nets.

    Science.gov (United States)

    1984-06-01

    and memory retrieval [Anderson 83]. Most other work using semantic network models assumes that the network is passive and is interpreted by a control...representation also permits representation of sufficient conditions. Imagine that being blue is a sufficient property of blueberries i.e. "if something...B BALL .LB 25 3. Inference in memory networks Section 2 described a notation for representing knowledge and also provided a partial specification of

  4. Conscious and Unconscious Emotions in Alexithymics and Repressors

    Directory of Open Access Journals (Sweden)

    Tsvetelina Slavchova Hadzhieva

    2017-04-01

    Full Text Available In this article, the nature, evolution and characteristics of conscious and unconscious emotions which determine the internal regulation of behavior are traced. Definitions of the nature of emotions and feelings of other authors are presented, and studies which reflect the cognitive relationship of emotional processes are cited. A classification of two different personality types has been considered (alexithymic and repressor, who differently express their emotions, because of their cognitive peculiarities. The main idea of ​​the article is based on tracing the specifics of emotional expression and intensity.

  5. Dreams of the rarebit fiend: neuromedical synthesis of unconscious meaning.

    Science.gov (United States)

    Forrest, D V

    1987-07-01

    A promising new "ecumenical" movement in psychiatry attempts to synthesize the two great intellectual traditions, psychoanalysis and neurobiology, so that we may avoid splitting the care of the patient into the partial domains of biotherapy that lacks the understanding of mental interrelations and purely psychological psychotherapy that lacks an appreciation of the embeddedness of mental processes in brain function. Recent synthetic work is assessed, taking as a point of departure an historic symposium in Pittsburgh, October 26-27, 1984, entitled "Neurobiology and the Unconscious: Psychoanalysis Looks Toward the Future." The means of representation of meaning (whose description was begun by Freud) in such unconscious material as dreams and folklore show the imprint of the brain function in which they are imbedded. Our afferent and efferent processes, including language, are patterned by their neuromedical basis. Linkages will be sought of representational images to visual, vestibular, and neuromotor traces: evidence that the human "thinking machine" is a very human body rather than some disembodied psychological self or computer simulation by artificial intelligence programming. Illustrative material is in part drawn from the popular dream episodes cartooned by Winsor McCay, which were considered graphic masterpieces, and incorporated representations of many normal unconscious brain mechanisms, including unusual perspectives, vestibular sensations, neuromotor inhibitions, transformations; visual and linguistic distortions, bizarre bodily intrusions, and sexual symbols. J. Allen Hobson and R.W. McCarley's 1977 arguments for the determining the significance of the pontine dream generator may have been anticipated by McCay's 1905 Dreams of the Rarebit Fiend in which, at the end of each very Freudian nightmare, the dreamer wakes and swears off eating welsh rarebits as if they caused all his unconscious images. To avoid a biological reductiveness, Freud, whom Sulloway

  6. Semantic interrogation of a multi knowledge domain ontological model of tendinopathy identifies four strong candidate risk genes.

    Science.gov (United States)

    Saunders, Colleen J; Jalali Sefid Dashti, Mahjoubeh; Gamieldien, Junaid

    2016-01-25

    Tendinopathy is a multifactorial syndrome characterised by tendon pain and thickening, and impaired performance during activity. Candidate gene association studies have identified genetic factors that contribute to intrinsic risk of developing tendinopathy upon exposure to extrinsic factors. Bioinformatics approaches that data-mine existing knowledge for biological relationships may assist with the identification of candidate genes. The aim of this study was to data-mine functional annotation of human genes and identify candidate genes by ontology-seeded queries capturing the features of tendinopathy. Our BioOntological Relationship Graph database (BORG) integrates multiple sources of genomic and biomedical knowledge into an on-disk semantic network where human genes and their orthologs in mouse and rat are central concepts mapped to ontology terms. The BORG was used to screen all human genes for potential links to tendinopathy. Following further prioritisation, four strong candidate genes (COL11A2, ELN, ITGB3, LOX) were identified. These genes are differentially expressed in tendinopathy, functionally linked to features of tendinopathy and previously implicated in other connective tissue diseases. In conclusion, cross-domain semantic integration of multiple sources of biomedical knowledge, and interrogation of phenotypes and gene functions associated with disease, may significantly increase the probability of identifying strong and unobvious candidate genes in genetic association studies.

  7. 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.

  8. Semantic Requirements Engineering

    Science.gov (United States)

    Saeki, Motoshi

    Requirements engineering (RE) techniques play a crucial role in information systems development processes. There are many excellent techniques of RE to assist requirements analysts and stakeholders in producing requirements specification of higher quality, and some of them are put into practice in industry. However, one of the issues of these RE techniques is that they do not handle semantic aspects of requirements. If we can deal with the meaning of requirements by using automated techniques, we can get more effective RE techniques to produce requirements specifications of higher quality. In this chapter, we consider an ontology as a semantic domain so as to provide the meaning for requirements, and discuss the potentials of the RE techniques using an ontology as a semantic basis. Especially, we illustrate an extension of goal-oriented requirements analysis where this idea is embedded, i.e. we provide the semantics for goal descriptions written in natural language using a mapping from them to an ontology. The inference mechanisms of the ontology allow us to decompose a goal into sub-goals and to find missing goals. Furthermore, in this chapter we discuss the possibilities of the techniques to support the other activities of RE processes using this ontological technique, e.g. measuring quality metrics and controlling versions of requirements from a semantic view. Due to similarity to Semantic Web techniques, we call a family of these engineering techniques Semantic Requirements Engineering in this chapter.

  9. A Defense of Semantic Minimalism

    Science.gov (United States)

    Kim, Su

    2012-01-01

    Semantic Minimalism is a position about the semantic content of declarative sentences, i.e., the content that is determined entirely by syntax. It is defined by the following two points: "Point 1": The semantic content is a complete/truth-conditional proposition. "Point 2": The semantic content is useful to a theory of…

  10. Semantic Web Evaluation Challenge

    CERN Document Server

    2014-01-01

    This book constitutes the thoroughly refereed post conference proceedings of the first edition of the Semantic Web Evaluation Challenge, SemWebEval 2014, co-located with the 11th Extended Semantic Web conference, held in Anissaras, Crete, Greece, in May 2014. This book includes the descriptions of all methods and tools that competed at SemWebEval 2014, together with a detailed description of the tasks, evaluation procedures and datasets. The contributions are grouped in three areas: semantic publishing (sempub), concept-level sentiment analysis (ssa), and linked-data enabled recommender systems (recsys).

  11. Benchmarking semantic web technology

    CERN Document Server

    García-Castro, R

    2009-01-01

    This book addresses the problem of benchmarking Semantic Web Technologies; first, from a methodological point of view, proposing a general methodology to follow in benchmarking activities over Semantic Web Technologies and, second, from a practical point of view, presenting two international benchmarking activities that involved benchmarking the interoperability of Semantic Web technologies using RDF(S) as the interchange language in one activity and OWL in the other.The book presents in detail how the different resources needed for these interoperability benchmarking activities were defined:

  12. 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.

  13. 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

  14. 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.

  15. G. F. Parrot and the theory of unconscious inferences.

    Science.gov (United States)

    Allik, Jüri; Konstabel, Kenn

    2005-01-01

    In 1839, Georg Friedrich Parrot (1767-1852) published a short note about a peculiar visual phenomenon--the diminishing of the size of external objects situated at a relatively small distance from the window of a fast-moving train. For the explanation of this illusion, Parrot proposed a concept of unconscious inferences, a very rapid syllogistic conclusion from two premises, which anticipated the revival of Alhazen's theory of unconscious inferences by Hermann von Helmholtz, Wilhelm Wundt, and John Stuart Mill. He also advanced the notion that the speed of mental processes is not infinitely high and that it can be measured by means of systematic experimentation. Although Parrot was only partly correct in the description of the movement-induced changes of the perceived size, his general intention to understand basic mechanisms of the human mind was in harmony with the founding ideas of experimental psychology: it is possible to study the phenomena of the mind in the same general way that the physical world is studied, either in terms of mechanical or mathematical laws. 2005 Wiley Periodicals, Inc.

  16. Intact unconscious processing of eye contact in schizophrenia

    Directory of Open Access Journals (Sweden)

    Kiley Seymour

    2016-03-01

    Full Text Available The perception of eye gaze is crucial for social interaction, providing essential information about another person’s goals, intentions, and focus of attention. People with schizophrenia suffer a wide range of social cognitive deficits, including abnormalities in eye gaze perception. For instance, patients have shown an increased bias to misjudge averted gaze as being directed toward them. In this study we probed early unconscious mechanisms of gaze processing in schizophrenia using a technique known as continuous flash suppression. Previous research using this technique to render faces with direct and averted gaze initially invisible reveals that direct eye contact gains privileged access to conscious awareness in healthy adults. We found that patients, as with healthy control subjects, showed the same effect: faces with direct eye gaze became visible significantly faster than faces with averted gaze. This suggests that early unconscious processing of eye gaze is intact in schizophrenia and implies that any misjudgments of gaze direction must manifest at a later conscious stage of gaze processing where deficits and/or biases in attributing mental states to gaze and/or beliefs about being watched may play a role.

  17. Intelligence as it relates to conscious and unconscious memory influences.

    Science.gov (United States)

    Joordens, Steve; Walsh, Darlene; Mantonakis, Antonia

    2013-09-01

    We examine the relationship between a measure of intelligence and estimates of conscious and unconscious memory influences derived using Jacoby's (Jacoby, L. L. [1991]. A process dissociation framework: Separating automatic from intentional uses of memory. Journal of Memory and Language, 30, 513-541.) process-dissociation procedure. We find a positive relationship between intelligence and conscious memory, and no relationship between intelligence and unconscious influences once the impact of conscious influences are removed (Experiment 1). We also find that when participants cannot engage in conscious strategies, such as when there is insufficient time for learning, the relationships observed in Experiment 1 are eliminated (Experiments 2A and 2B). Our results support the notion that individual differences in intelligence reflect differences in conscious strategic processes (Karis, D., Fabiani, M., & Donchin, E. [1984]. "P300" and memory: Individual differences in the von Restorff effect. Cognitive Psychology, 16, 177-216.) and not differences in mental speed (Eysenck, H. J. (1984). Intelligence versus behavior. The Behavioral and Brain Sciences, 7, 290-291; Jensen, A. R. [1982]. Bias in mental testing. New York, NY: Free Press). PsycINFO Database Record (c) 2013 APA, all rights reserved

  18. Inverse zombies, anesthesia awareness, and the hard problem of unconsciousness.

    Science.gov (United States)

    Mashour, George A; LaRock, Eric

    2008-12-01

    Philosophical (p-) zombies are constructs that possess all of the behavioral features and responses of a sentient human being, yet are not conscious. P-zombies are intimately linked to the hard problem of consciousness and have been invoked as arguments against physicalist approaches. But what if we were to invert the characteristics of p-zombies? Such an inverse (i-) zombie would possess all of the behavioral features and responses of an insensate being, yet would nonetheless be conscious. While p-zombies are logically possible but naturally improbable, an approximation of i-zombies actually exists: individuals experiencing what is referred to as "anesthesia awareness." Patients under general anesthesia may be intubated (preventing speech), paralyzed (preventing movement), and narcotized (minimizing response to nociceptive stimuli). Thus, they appear--and typically are--unconscious. In 1-2 cases/1000, however, patients may be aware of intraoperative events, sometimes without any objective indices. Furthermore, a much higher percentage of patients (22% in a recent study) may have the subjective experience of dreaming during general anesthesia. P-zombies confront us with the hard problem of consciousness--how do we explain the presence of qualia? I-zombies present a more practical problem--how do we detect the presence of qualia? The current investigation compares p-zombies to i-zombies and explores the "hard problem" of unconsciousness with a focus on anesthesia awareness.

  19. Neural reactivation links unconscious thought to decision-making performance.

    Science.gov (United States)

    Creswell, John David; Bursley, James K; Satpute, Ajay B

    2013-12-01

    Brief periods of unconscious thought (UT) have been shown to improve decision making compared with making an immediate decision (ID). We reveal a neural mechanism for UT in decision making using blood oxygen level-dependent (BOLD) functional magnetic resonance imaging. Participants (N = 33) encoded information on a set of consumer products (e.g. 48 attributes describing four different cars), and we manipulated whether participants (i) consciously thought about this information (conscious thought), (ii) completed a difficult 2-back working memory task (UT) or (iii) made an immediate decision about the consumer products (ID) in a within-subjects blocked design. To differentiate UT neural activity from 2-back working memory neural activity, participants completed an independent 2-back task and this neural activity was subtracted from neural activity occurring during the UT 2-back task. Consistent with a neural reactivation account, we found that the same regions activated during the encoding of complex decision information (right dorsolateral prefrontal cortex and left intermediate visual cortex) continued to be activated during a subsequent 2-min UT period. Moreover, neural reactivation in these regions was predictive of subsequent behavioral decision-making performance after the UT period. These results provide initial evidence for post-encoding unconscious neural reactivation in facilitating decision making.

  20. 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.

  1. Semantic Web Development

    National Research Council Canada - National Science Library

    Berners-Lee, Tim; Swick, Ralph

    2006-01-01

    ...) project between 2002 and 2005 provided key steps in the research in the Semantic Web technology, and also played an essential role in delivering the technology to industry and government in the form...

  2. Algebraic Semantics for Narrative

    Science.gov (United States)

    Kahn, E.

    1974-01-01

    This paper uses discussion of Edmund Spenser's "The Faerie Queene" to present a theoretical framework for explaining the semantics of narrative discourse. The algebraic theory of finite automata is used. (CK)

  3. Semantic Technology Recommendation Based on the Analytic Network Process

    OpenAIRE

    Radulovic, F.; García-Castro, Raúl

    2012-01-01

    Semantic technologies have become widely adopted in recent years, and choosing the right technologies for the problems that users face is often a difficult task. This paper presents an application of the Analytic Network Process for the recommendation of semantic technologies, which is based on a quality model for semantic technologies. Instead of relying on expert-based comparisons of alternatives, the comparisons in our framework depend on real evaluation results. Furthermore, the recommend...

  4. Assessing the Big Five Personality Traits with Latent Semantic Analysis

    Science.gov (United States)

    We tested whether the characteristics of a persons personality can be assessed by an automated analysis of the semantic content of a persons written...the Big Five personality traits. Participants essays were processed for content by Latent Semantic Analysis (LSA; T. Landauer and S. Dumais, 1997...a model of lexical semantics. We found that LSA could assess individuals on three of the Big Five traits, and we discuss ways to improve such techniques in future work.

  5. Preliminary thoughts on the neurobiology of innate unconscious structures and the psychodynamics of language acquisition.

    Science.gov (United States)

    Mizen, Susan

    2017-11-01

    This paper builds upon Britton's recent writing on 'models in the mind', in which he gives an account of preverbal metaphoric structures based on object relations (Britton 2015). These correspond with Jung's theory of innate unconscious structures. These innate models are considered alongside current linguistic theory following Chomsky and post-Chomskyan views about language acquisition. Neuroscience evidence linking language and abstract thinking with structures involved in tool use are presented. The implications of these findings, and our understanding of the relational context within which language, metaphor and abstract thought are acquired, will be discussed along with the failures of symbolization and verbal communication common amongst those with severe narcissistic disorders. © 2017, The Society of Analytical Psychology.

  6. Relaxed Operational Semantics of Concurrent Programming Languages

    Directory of Open Access Journals (Sweden)

    Gustavo Petri

    2012-08-01

    Full Text Available We propose a novel, operational framework to formally describe the semantics of concurrent programs running within the context of a relaxed memory model. Our framework features a "temporary store" where the memory operations issued by the threads are recorded, in program order. A memory model then specifies the conditions under which a pending operation from this sequence is allowed to be globally performed, possibly out of order. The memory model also involves a "write grain," accounting for architectures where a thread may read a write that is not yet globally visible. Our formal model is supported by a software simulator, allowing us to run litmus tests in our semantics.

  7. Open semantic analysis: The case of word level semantics in Danish

    DEFF Research Database (Denmark)

    Nielsen, Finn Årup; Hansen, Lars Kai

    2017-01-01

    The present research is motivated by the need for accessible and efficient tools for automated semantic analysis in Danish. We are interested in tools that are completely open, so they can be used by a critical public, in public administration, non-governmental organizations and businesses. We...... describe data-driven models for Danish semantic relatedness, word intrusion and sentiment prediction. Open Danish corpora were assembled and unsupervised learning implemented for explicit semantic analysis and with Gensim’s Word2vec model. We evaluate the performance of the two models on three different...... annotated word datasets. We test the semantic representations’ alignment with single word sentiment using supervised learning. We find that logistic regression and large random forests perform well with Word2vec features....

  8. Enabling Semantic Queries Against the Spatial Database

    Directory of Open Access Journals (Sweden)

    PENG, X.

    2012-02-01

    Full Text Available The spatial database based upon the object-relational database management system (ORDBMS has the merits of a clear data model, good operability and high query efficiency. That is why it has been widely used in spatial data organization and management. However, it cannot express the semantic relationships among geospatial objects, making the query results difficult to meet the user's requirement well. Therefore, this paper represents an attempt to combine the Semantic Web technology with the spatial database so as to make up for the traditional database's disadvantages. In this way, on the one hand, users can take advantages of ORDBMS to store and manage spatial data; on the other hand, if the spatial database is released in the form of Semantic Web, the users could describe a query more concisely with the cognitive pattern which is similar to that of daily life. As a consequence, this methodology enables the benefits of both Semantic Web and the object-relational database (ORDB available. The paper discusses systematically the semantic enriched spatial database's architecture, key technologies and implementation. Subsequently, we demonstrate the function of spatial semantic queries via a practical prototype system. The query results indicate that the method used in this study is feasible.

  9. Learning Document Semantic Representation with Hybrid Deep Belief Network

    Directory of Open Access Journals (Sweden)

    Yan Yan

    2015-01-01

    it is also an effective way to remove noise from the different document representation type; the DBN can enhance extract abstract of the document in depth, making the model learn sufficient semantic representation. At the same time, we explore different input strategies for semantic distributed representation. Experimental results show that our model using the word embedding instead of single word has better performance.

  10. How Conceptual Are Semantic Maps?

    Directory of Open Access Journals (Sweden)

    Andrea Sansò

    2010-01-01

    Full Text Available The question addressed in this paper is whether (and to what extent a semantic map aimed at representing the multifunctionality of a given construction (or set of constructions in discourse can be thought of as endowed with conceptual reality. To be considered as a mental representa-tion that is essentially similar in all human brains, such a map should meet two requirements: (i its nodes should be bundles of semantic and pragmatic properties that form conceptual arche-types, that is, ways of conceptualizing and categorizing dynamic or static configurations that are fundamental to human experience; (ii there should be a high degree of regularity in the data material, i.e. each construction should be associated with a node or a contiguous set of nodes in a regular way. However, observing the use of grammatical constructions in discourse provides us with compelling evidence that discourse contexts are complex entities involving many differ-ent variables, and that ?a perfect fit is not the usual state of affairs for models of complex human behavior (including language? (Croft and Poole 2008:6. Based on a previous analysis of vari-ous passive and impersonal constructions in a parallel corpus of five European languages, I will argue that a first-generation semantic map representing the distribution of these constructions in discourse and comprising a few conceptual archetypes may be only an idealized abstraction over the conflicting evidence of the association between discourse contexts and construction types. As an idealization, such a map is not particularly informative as to language-specific tendencies and idiosyncrasies and does not allow us to analyze all the datasets that we might be interested in analyzing. On the other hand, a second-generation semantic map proves to be a more reliable tool for representing variation in discourse and does not force the analyst to posit (and multiply conceptual structures where there may be none

  11. Co-clustering for Weblogs in Semantic Space

    DEFF Research Database (Denmark)

    Zong, Yu; Xu, Guandong; Dolog, Peter

    2010-01-01

    Web clustering is an approach for aggregating web objects into various groups according to underlying relationships among them. Finding co-clusters of web objects in semantic space is an interesting topic in the context of web usage mining, which is able to capture the underlying user navigational...... interest and content preference simultaneously. In this paper we will present a novel web co-clustering algorithm named Co-Clustering in Semantic space (COCS) to simultaneously partition web users and pages via a latent semantic analysis approach. In COCS, we first, train the latent semantic space...... of weblog data by using Probabilistic Latent Semantic Analysis (PLSA) model, and then, project all weblog data objects into this semantic space with probability distribution to capture the relationship among web pages and web users, at last, propose a clustering algorithm to generate the co...

  12. The Mind and The Unconscious--A Modification of Freud's Agencies.

    Science.gov (United States)

    Habicht, Manuela H.

    The aim of the review is to discuss what the mind must be like for the psychoanalytic term like "the unconscious" to be meaningfully applied. Freud's two systems called the unconscious (Ucs.) and the preconscious-conscious (Pcs.-Cs.) are introduced and their replacement with alternative categories such as id, ego, and superego is…

  13. Indicators used in livestock to assess unconsciousness after stunning: a review

    NARCIS (Netherlands)

    Verhoeven, M.T.W.; Gerritzen, M.A.; Hellebrekers, L.J.; Kemp, B.

    2015-01-01

    Assessing unconsciousness is important to safeguard animal welfare shortly after stunning at the slaughter plant. Indicators that can be visually evaluated are most often used when assessing unconsciousness, as they can be easily applied in slaughter plants. These indicators include reflexes

  14. Writing and Desire: Synthesizing Rhetorical Theories of Genre and Lacanian Theories of the Unconscious

    Science.gov (United States)

    Collin, Ross

    2016-01-01

    To clarify the role of desire in discursive practice, this article examines rhetorical theories of genre and Lacanian theories of the unconscious. The former, it is argued, might be refined to shed more light on actors' unconscious investments in and resistance to the desires maintained by genres. The latter, meanwhile, might be refined to address…

  15. Creativity: The role of unconscious processes in idea generation and idea selection

    NARCIS (Netherlands)

    Ritter, S.M.; Baaren, R.B. van; Dijksterhuis, A.J.

    2012-01-01

    Today's world of continuous change thrives on creative individuals. Anecdotal reports suggest that creative performance benefits from unconscious processes. Empirical research on the role of the unconscious in creativity, though, is inconsistent and thus far has focused mainly on one aspect of the

  16. Unconscious Cross-Modal Priming of Auditory Sound Localization by Visual Words

    Science.gov (United States)

    Ansorge, Ulrich; Khalid, Shah; Laback, Bernhard

    2016-01-01

    Little is known about the cross-modal integration of unconscious and conscious information. In the current study, we therefore tested whether the spatial meaning of an unconscious visual word, such as "up", influences the perceived location of a subsequently presented auditory target. Although cross-modal integration of unconscious…

  17. The Semantic Web: opportunities and challenges for next-generation Web applications

    Directory of Open Access Journals (Sweden)

    2002-01-01

    Full Text Available Recently there has been a growing interest in the investigation and development of the next generation web - the Semantic Web. While most of the current forms of web content are designed to be presented to humans, but are barely understandable by computers, the content of the Semantic Web is structured in a semantic way so that it is meaningful to computers as well as to humans. In this paper, we report a survey of recent research on the Semantic Web. In particular, we present the opportunities that this revolution will bring to us: web-services, agent-based distributed computing, semantics-based web search engines, and semantics-based digital libraries. We also discuss the technical and cultural challenges of realizing the Semantic Web: the development of ontologies, formal semantics of Semantic Web languages, and trust and proof models. We hope that this will shed some light on the direction of future work on this field.

  18. An explicit semantic relatedness measure based on random walk

    Directory of Open Access Journals (Sweden)

    HU Sihui

    2016-10-01

    Full Text Available The semantic relatedness calculation of open domain knowledge network is a significant issue.In this paper,pheromone strategy is drawn from the thought of ant colony algorithm and is integrated into the random walk which is taken as the basic framework of calculating the semantic relatedness degree.The pheromone distribution is taken as a criterion of determining the tightness degree of semantic relatedness.A method of calculating semantic relatedness degree based on random walk is proposed and the exploration process of calculating the semantic relatedness degree is presented in a dominant way.The method mainly contains Path Select Model(PSM and Semantic Relatedness Computing Model(SRCM.PSM is used to simulate the path selection of ants and pheromone release.SRCM is used to calculate the semantic relatedness by utilizing the information returned by ants.The result indicates that the method could complete semantic relatedness calculation in linear complexity and extend the feasible strategy of semantic relatedness calculation.

  19. Collective unconscious: how gut microbes shape human behavior.

    Science.gov (United States)

    Dinan, Timothy G; Stilling, Roman M; Stanton, Catherine; Cryan, John F

    2015-04-01

    The human gut harbors a dynamic and complex microbial ecosystem, consisting of approximately 1 kg of bacteria in the average adult, approximately the weight of the human brain. The evolutionary formation of a complex gut microbiota in mammals has played an important role in enabling brain development and perhaps sophisticated social interaction. Genes within the human gut microbiota, termed the microbiome, significantly outnumber human genes in the body, and are capable of producing a myriad of neuroactive compounds. Gut microbes are part of the unconscious system regulating behavior. Recent investigations indicate that these microbes majorly impact on cognitive function and fundamental behavior patterns, such as social interaction and stress management. In the absence of microbes, underlying neurochemistry is profoundly altered. Studies of gut microbes may play an important role in advancing understanding of disorders of cognitive functioning and social interaction, such as autism. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  20. Unconscious violinists and the use of analogies in moral argument

    Science.gov (United States)

    Wiland, E.

    2000-01-01

    Analogies are the stuff out of which normative moral philosophy is made. Certainly one of the most famous analogies constructed by a philosopher in order to argue for a specific controversial moral conclusion is the one involving Judith Thomson's unconscious violinist. Reflection upon this analogy is meant to show us that abortion is generally not immoral even if the prenatal have the same moral status as the postnatal. This was and still is a controversial conclusion, and yet the analogy does seem to reveal in a very vivid way what makes abortion a reasonable response to a terrible situation. But Thomson's example has frequently been attacked on all sides for not being truly analogous to abortion. Here I develop a brand new analogy that sheds light on the issue with which Thomson was concerned, while at the same time avoiding most of the more serious objections made to her analogy. Key Words: Abortion • analogies • Thomson PMID:11129849

  1. Indonesian Tourists’ Preferences Influence of Conscious and Unconscious Motives

    Directory of Open Access Journals (Sweden)

    Ismayanti Ismayanti

    2011-03-01

    Full Text Available Motivation is the foremost variable to explain the travel preferences. It is identified that there are two motives of travelling: inner intention as the unconscious motives and outer magnet as the conscious motives. Inner intentions derive from tourists’ mindset and push the actor to perform. Outer magnet is created by destination (tourism supplier, operators, hotelier etc. to pull the customers. From 331 respondents in Jakarta (capital city and Bandung as tourist generating regions in Indonesia showed that there are partial element of inner intention that encourage Indonesian to travel: religiousness and leisure time, and there are collective element of outer magnet that fascinate Indonesian tourist: cultural attraction and activities, outrange between domicile region and destination, and sophisticated amenities.

  2. Paying less but harvesting more: the effect of unconscious acceptance in regulating frustrating emotion.

    Science.gov (United States)

    Ding, NanXiang; Yang, JieMin; Liu, YingYing; Yuan, JiaJin

    2015-08-01

    Previous studies indicate that emotion regulation may occur unconsciously, without the cost of cognitive effort, while conscious acceptance may enhance negative experiences despite having potential long-term health benefits. Thus, it is important to overcome this weakness to boost the efficacy of the acceptance strategy in negative emotion regulation. As unconscious regulation occurs with little cost of cognitive resources, the current study hypothesizes that unconscious acceptance regulates the emotional consequence of negative events more effectively than does conscious acceptance. Subjects were randomly assigned to conscious acceptance, unconscious acceptance and no-regulation conditions. A frustrating arithmetic task was used to induce negative emotion. Emotional experiences were assessed on the Positive Affect and Negative Affect Scale while emotion- related physiological activation was assessed by heart-rate reactivity. Results showed that conscious acceptance had a significant negative affective consequence, which was absent during unconscious acceptance. That is, unconscious acceptance was linked with little reduction of positive affect during the experience of frustration, while this reduction was prominent in the control and conscious acceptance groups. Instructed, conscious acceptance resulted in a greater reduction of positive affect than found for the control group. In addition, both conscious and unconscious acceptance strategies significantly decreased emotion-related heart-rate activity (to a similar extent) in comparison with the control condition. Moreover, heart-rate reactivity was positively correlated with negative affect and negatively correlated with positive affect during the frustration phase relative to the baseline phase, in both the control and unconscious acceptance groups. Thus, unconscious acceptance not only reduces emotion-related physiological activity but also better protects mood stability compared with conscious acceptance. This

  3. Auditory processing during deep propofol sedation and recovery from unconsciousness.

    Science.gov (United States)

    Koelsch, Stefan; Heinke, Wolfgang; Sammler, Daniela; Olthoff, Derk

    2006-08-01

    Using evoked potentials, this study investigated effects of deep propofol sedation, and effects of recovery from unconsciousness, on the processing of auditory information with stimuli suited to elicit a physical MMN, and a (music-syntactic) ERAN. Levels of sedation were assessed using the Bispectral Index (BIS) and the Modified Observer's Assessment of Alertness and Sedation Scale (MOAAS). EEG-measurements were performed during wakefulness, deep propofol sedation (MOAAS 2-3, mean BIS=68), and a recovery period. Between deep sedation and recovery period, the infusion rate of propofol was increased to achieve unconsciousness (MOAAS 0-1, mean BIS=35); EEG measurements of recovery period were performed after subjects regained consciousness. During deep sedation, the physical MMN was markedly reduced, but still significant. No ERAN was observed in this level. A clear P3a was elicited during deep sedation by those deviants, which were task-relevant during the awake state. As soon as subjects regained consciousness during the recovery period, a normal MMN was elicited. By contrast, the P3a was absent in the recovery period, and the P3b was markedly reduced. Results indicate that the auditory sensory memory (as indexed by the physical MMN) is still active, although strongly reduced, during deep sedation (MOAAS 2-3). The presence of the P3a indicates that attention-related processes are still operating during this level. Processes of syntactic analysis appear to be abolished during deep sedation. After propofol-induced anesthesia, the auditory sensory memory appears to operate normal as soon as subjects regain consciousness, whereas the attention-related processes indexed by P3a and P3b are markedly impaired. Results inform about effects of sedative drugs on auditory and attention-related mechanisms. The findings are important because these mechanisms are prerequisites for auditory awareness, auditory learning and memory, as well as language perception during anesthesia.

  4. Semantics for Communicating Actors with Interdependent Real-Time Deadlines

    DEFF Research Database (Denmark)

    Knoll, Istvan; Ravn, Anders Peter; Skou, Arne

    2009-01-01

    on the results, these tools must use consistent semantics for the model. Yet, a monolithic semantic model is just as complex as the entity it describes. In order to circumvent this issue, we define a three level semantics giving independent definitions of the functionality of actors, the temporal properties......Models of embedded systems with communicating actors and deadlines offer abstraction and encapsulation of related functionality, but their behavior is complex. Verification is therefore difficult and requires a combination of simulation, model checking and testing tools. In order to rely...... of communications, and finally imposing deadlines on the timing of dependent actors. With this approach the semantics is used directly in developing a simulator supporting the nondeterminism of the abstract semantics such that e.g. potential race conditions can be detected. The layers are also planned to underpin...

  5. Semantic Service Design for Collaborative Business Processes in Internetworked Enterprises

    Science.gov (United States)

    Bianchini, Devis; Cappiello, Cinzia; de Antonellis, Valeria; Pernici, Barbara

    Modern collaborating enterprises can be seen as borderless organizations whose processes are dynamically transformed and integrated with the ones of their partners (Internetworked Enterprises, IE), thus enabling the design of collaborative business processes. The adoption of Semantic Web and service-oriented technologies for implementing collaboration in such distributed and heterogeneous environments promises significant benefits. IE can model their own processes independently by using the Software as a Service paradigm (SaaS). Each enterprise maintains a catalog of available services and these can be shared across IE and reused to build up complex collaborative processes. Moreover, each enterprise can adopt its own terminology and concepts to describe business processes and component services. This brings requirements to manage semantic heterogeneity in process descriptions which are distributed across different enterprise systems. To enable effective service-based collaboration, IEs have to standardize their process descriptions and model them through component services using the same approach and principles. For enabling collaborative business processes across IE, services should be designed following an homogeneous approach, possibly maintaining a uniform level of granularity. In the paper we propose an ontology-based semantic modeling approach apt to enrich and reconcile semantics of process descriptions to facilitate process knowledge management and to enable semantic service design (by discovery, reuse and integration of process elements/constructs). The approach brings together Semantic Web technologies, techniques in process modeling, ontology building and semantic matching in order to provide a comprehensive semantic modeling framework.

  6. Comparing Refinements for Failure and Bisimulation Semantics

    NARCIS (Netherlands)

    Eshuis, H.; Fokkinga, M.M.

    2002-01-01

    Refinement in bisimulation semantics is defined differently from refinement in failure semantics: in bisimulation semantics refinement is based on simulations between labelled transition systems, whereas in failure semantics refinement is based on inclusions between failure systems. There exist

  7. Graph Transformation Semantics for a QVT Language

    NARCIS (Netherlands)

    Rensink, Arend; Nederpel, Ronald; Bruni, Roberto; Varró, Dániel

    It has been claimed by many in the graph transformation community that model transformation, as understood in the context of Model Driven Architecture, can be seen as an application of graph transformation. In this paper we substantiate this claim by giving a graph transformation-based semantics to

  8. Constraint-Based Abstract Semantics for Temporal Logic

    DEFF Research Database (Denmark)

    Banda, Gourinath; Gallagher, John Patrick

    2010-01-01

    Abstract interpretation provides a practical approach to verifying properties of infinite-state systems. We apply the framework of abstract interpretation to derive an abstract semantic function for the modal mu-calculus, which is the basis for abstract model checking. The abstract semantic...

  9. A Semantics for a Real-Time Actor Language

    DEFF Research Database (Denmark)

    Knoll, Istvan; Ravn, Anders Peter; Skou, Arne

    2008-01-01

    In order to develop simulators and analysis tools for an actor based real-time language, we define its semantics. The semantics is interesting in itself, as it models the functional, communication, and timing aspects separately, allowing several variants of the language to be investigated....

  10. Stochastic Automata for Outdoor Semantic Mapping using Optimised Signal Quantisation

    DEFF Research Database (Denmark)

    Caponetti, Fabio; Blas, Morten Rufus; Blanke, Mogens

    2011-01-01

    Autonomous robots require many types of information to obtain intelligent and safe behaviours. For outdoor operations, semantic mapping is essential and this paper proposes a stochastic automaton to localise the robot within the semantic map. For correct modelling and classi¯cation under uncertai...

  11. Semantic Learning Service Personalized

    Directory of Open Access Journals (Sweden)

    Yibo Chen

    2012-02-01

    Full Text Available To provide users with more suitable and personalized service, personalization is widely used in various fields. Current e-Learning systems search for learning resources using information search technology, based on the keywords that selected or inputted by the user. Due to lack of semantic analysis for keywords and exploring the user contexts, the system cannot provide a good learning experiment. In this paper, we defined the concept and characteristic of the personalized learning service, and proposed a semantic learning service personalized framework. Moreover, we made full use of semantic technology, using ontologies to represent the learning contents and user profile, mining and utilizing the friendship and membership of the social relationship to construct the user social relationship profile, and improved the collaboration filtering algorithm to recommend personalized learning resources for users. The results of the empirical evaluation show that the approach is effectiveness in augmenting recommendation.

  12. Semantic Observation Integration

    Directory of Open Access Journals (Sweden)

    Werner Kuhn

    2012-09-01

    Full Text Available Although the integration of sensor-based information into analysis and decision making has been a research topic for many years, semantic interoperability has not yet been reached. The advent of user-generated content for the geospatial domain, Volunteered Geographic Information (VGI, makes it even more difficult to establish semantic integration. This paper proposes a novel approach to integrating conventional sensor information and VGI, which is exploited in the context of detecting forest fires. In contrast to common logic-based semantic descriptions, we present a formal system using algebraic specifications to unambiguously describe the processing steps from natural phenomena to value-added information. A generic ontology of observations is extended and profiled for forest fire detection in order to illustrate how the sensing process, and transformations between heterogeneous sensing systems, can be represented as mathematical functions and grouped into abstract data types. We discuss the required ontological commitments and a possible generalization.

  13. On semantics and applications of guarded recursion

    DEFF Research Database (Denmark)

    Bizjak, Aleš

    2016-01-01

    In this dissertation we study applications and semantics of guarded recursion, which is a method for ensuring that self-referential descriptions of objects define a unique object. The first two chapters are devoted to applications. We use guarded recursion, first in the form of explicit step...... chapter we study a simply typed calculus with additional "later" and "constant" modalities and a guarded fixed-point combinator. These are used for encoding and working with guarded recursive and coinductive types in a modular way. We develop a normalising operational semantics, provide an adequate...... denotational model and a logic for reasoning about program equivalence. In the last three chapters we study syntax and semantics of a dependent type theory with a family of later modalities indexed by the set of clocks, and clock quantifiers. In the fourth and fifth chapters we provide two model constructions...

  14. Semantic Web Technologies for the Adaptive Web

    DEFF Research Database (Denmark)

    Dolog, Peter; Nejdl, Wolfgang

    2007-01-01

    provide conceptualization for the links which are a main vehicle to access information on the web. The subject domain ontologies serve as constraints for generating only those links which are relevant for the domain a user is currently interested in. Furthermore, user model ontologies provide additional...... 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.......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...

  15. 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......-defined mathematical object, but it is not clear how principals can actually compute it. This becomes even more apparent when one considers the intended application environment: vast numbers of autonomous principals, distributed and possibly mobile. We provide a compositional operational semantics for a language...

  16. Program verification using symbolic game semantics

    DEFF Research Database (Denmark)

    Dimovski, Aleksandar

    2014-01-01

    We introduce a new symbolic representation of algorithmic game semantics, and show how it can be applied for efficient verification of open (incomplete) programs. The focus is on an Algol-like programming language which contains the core ingredients of imperative and functional languages...... of game semantics to that of corresponding symbolic representations. In this way programs with infinite data types, such as integers, can be expressed as finite-state symbolic-automata although the standard automata representation is infinite-state, i.e. the standard regular-language representation has...... infinite summations. Moreover, in this way significant reductions of the state space of game semantics models are obtained. This enables efficient verification of programs by our prototype tool based on symbolic game models, which is illustrated with several examples....

  17. Semantic Keys and Reading

    Directory of Open Access Journals (Sweden)

    Zev bar-Lev

    2016-12-01

    Full Text Available Semantic Keys are elements (word-parts of written language that give an iconic, general representation of the whole word’s meaning. In written Sino-Japanese the “radical” or semantic components play this role. For example, the character meaning ‘woman, female’ is the Semantic Key of the character for Ma ‘Mama’ (alongside the phonetic component Ma, which means ‘horse’ as a separate character. The theory of semantic Keys in both graphic and phonemic aspects is called qTheory or nanosemantics. The most innovative aspect of the present article is the hypothesis that, in languages using alphabetic writing systems, the role of Semantic Key is played by consonants, more specifically the first consonant. Thus, L meaning ‘LIFT’ is the Semantic Key of English Lift, Ladle, Lofty, aLps, eLevator, oLympus; Spanish Leva, Lecantarse, aLto, Lengua; Arabic aLLah, and Hebrew① ªeL-ºaL ‘upto-above’ (the Israeli airline, Polish Lot ‘flight’ (the Polish airline; Hebrew ªeL, ªeLohim ‘God’, and haLLeluyah ‘praise-ye God’ (using Parallels, ‘Lift up God’. Evidence for the universality of the theory is shown by many examples drawn from various languages, including Indo-European Semitic, Chinese and Japanese. The theory reveals hundreds of relationships within and between languages, related and unrelated, that have been “Hiding in Plain Sight”, to mention just one example: the Parallel between Spanish Pan ‘bread’ and Mandarin Fan ‘rice’.

  18. Evolution of semantic systems

    CERN Document Server

    Küppers, Bernd-Olaf; Artmann, Stefan

    2013-01-01

    Complex systems in nature and society make use of information for the development of their internal organization and the control of their functional mechanisms. Alongside technical aspects of storing, transmitting and processing information, the various semantic aspects of information, such as meaning, sense, reference and function, play a decisive part in the analysis of such systems.With the aim of fostering a better understanding of semantic systems from an evolutionary and multidisciplinary perspective, this volume collects contributions by philosophers and natural scientists, linguists, i

  19. A Timed Semantics for SDL

    DEFF Research Database (Denmark)

    Mørk, Simon; Godskesen, Jens Christian; Hansen, Michael Reichhardt

    1996-01-01

    An alternative formal semantics for describing the temporal aspects for the ITU-T specification language SDL is proposed, based on the interval temporal logic Duration Calculus (DC). It is shown how DC can be used to give an SDL semantics with a precise treatment oftemporal phenomena. The semantics...

  20. Operational Semantics of Termination Types

    DEFF Research Database (Denmark)

    Nielson, Flemming; Nielson, Hanne Riis

    1996-01-01

    and algebraic data types. The well-founded orderings are defined by pattern matching against the definition of the algebraic data types. We prove that the analysis is semantically sound with respect to a big-step (or natural) operational semantics. We compare our approach based on operational semantics to one...

  1. Mimicking Aphasic Semantic Errors in Normal Speech Production: Evidence from a Novel Experimental Paradigm

    Science.gov (United States)

    Hodgson, Catherine; Lambon Ralph, Matthew A.

    2008-01-01

    Semantic errors are commonly found in semantic dementia (SD) and some forms of stroke aphasia and provide insights into semantic processing and speech production. Low error rates are found in standard picture naming tasks in normal controls. In order to increase error rates and thus provide an experimental model of aphasic performance, this study…

  2. A new technique to insert nasogastric tube in an unconscious intubated patient.

    Science.gov (United States)

    Ghatak, Tanmoy; Samanta, Sukhen; Baronia, Arvind Kumar

    2013-01-01

    Insertion of a nasogastric tube in an unconscious intubated patient may be difficult as they cannot follow the swallowing instructions, and therefore has a high first attempt failure rate. We describe here a new technique to insert nasogastric tube in an unconscious intubated patient by neck flexion and using angiography catheter as a stylet and manipulating the cricoid ring of trachea for easy passage of nasogastric tube. The technique is easy and helpful for nasogastric insertion in unconscious intubated patients. Additionally, it neither alters vital responses nor increases intracranial pressure like with laryngoscopy.

  3. An Operational Semantics for Trust Policies

    DEFF Research Database (Denmark)

    Krukow, Karl

    2006-01-01

    In the trust-structure framework for trust management, principals specify their trusting relationships in terms of trust policies. In their paper on trust structures, Carbone et al. present a language for such policies, and provide a suitable denotational semantics. The semantics ensures that for......In the trust-structure framework for trust management, principals specify their trusting relationships in terms of trust policies. In their paper on trust structures, Carbone et al. present a language for such policies, and provide a suitable denotational semantics. The semantics ensures...... that for any collection of 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......-defined mathematical object, but it is not clear how principals can actually compute it. This becomes even more apparent when one considers the intended application environment: vast numbers of autonomous principals, distributed and possibly mobile. We provide a compositional operational semantics for a language...

  4. Semantator: annotating clinical narratives with semantic web ontologies.

    Science.gov (United States)

    Song, Dezhao; Chute, Christopher G; Tao, Cui

    2012-01-01

    To facilitate clinical research, clinical data needs to be stored in a machine processable and understandable way. Manual annotating clinical data is time consuming. Automatic approaches (e.g., Natural Language Processing systems) have been adopted to convert such data into structured formats; however, the quality of such automatically extracted data may not always be satisfying. In this paper, we propose Semantator, a semi-automatic tool for document annotation with Semantic Web ontologies. With a loaded free text document and an ontology, Semantator supports the creation/deletion of ontology instances for any document fragment, linking/disconnecting instances with the properties in the ontology, and also enables automatic annotation by connecting to the NCBO annotator and cTAKES. By representing annotations in Semantic Web standards, Semantator supports reasoning based upon the underlying semantics of the owl:disjointWith and owl:equivalentClass predicates. We present discussions based on user experiences of using Semantator.

  5. The semantic similarity ensemble

    Directory of Open Access Journals (Sweden)

    Andrea Ballatore

    2013-12-01

    Full Text Available Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and information integration. To date, a wide variety of approaches to geo-semantic similarity have been devised. A judgment of similarity is not intrinsically right or wrong, but obtains a certain degree of cognitive plausibility, depending on how closely it mimics human behavior. Thus selecting the most appropriate measure for a specific task is a significant challenge. To address this issue, we make an analogy between computational similarity measures and soliciting domain expert opinions, which incorporate a subjective set of beliefs, perceptions, hypotheses, and epistemic biases. Following this analogy, we define the semantic similarity ensemble (SSE as a composition of different similarity measures, acting as a panel of experts having to reach a decision on the semantic similarity of a set of geographic terms. The approach is evaluated in comparison to human judgments, and results indicate that an SSE performs better than the average of its parts. Although the best member tends to outperform the ensemble, all ensembles outperform the average performance of each ensemble's member. Hence, in contexts where the best measure is unknown, the ensemble provides a more cognitively plausible approach.

  6. Application of Non-Kolmogorovian Probability and Quantum Adaptive Dynamics to Unconscious Inference in Visual Perception Process

    Science.gov (United States)

    Accardi, Luigi; Khrennikov, Andrei; Ohya, Masanori; Tanaka, Yoshiharu; Yamato, Ichiro

    2016-07-01

    Recently a novel quantum information formalism — quantum adaptive dynamics — was developed and applied to modelling of information processing by bio-systems including cognitive phenomena: from molecular biology (glucose-lactose metabolism for E.coli bacteria, epigenetic evolution) to cognition, psychology. From the foundational point of view quantum adaptive dynamics describes mutual adapting of the information states of two interacting systems (physical or biological) as well as adapting of co-observations performed by the systems. In this paper we apply this formalism to model unconscious inference: the process of transition from sensation to perception. The paper combines theory and experiment. Statistical data collected in an experimental study on recognition of a particular ambiguous figure, the Schröder stairs, support the viability of the quantum(-like) model of unconscious inference including modelling of biases generated by rotation-contexts. From the probabilistic point of view, we study (for concrete experimental data) the problem of contextuality of probability, its dependence on experimental contexts. Mathematically contextuality leads to non-Komogorovness: probability distributions generated by various rotation contexts cannot be treated in the Kolmogorovian framework. At the same time they can be embedded in a “big Kolmogorov space” as conditional probabilities. However, such a Kolmogorov space has too complex structure and the operational quantum formalism in the form of quantum adaptive dynamics simplifies the modelling essentially.

  7. SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data

    Science.gov (United States)

    Patton, Evan W.; Seyed, Patrice; Wang, Ping; Fu, Linyun; Dein, F. Joshua; Bristol, R. Sky; McGuinness, Deborah L.

    2014-01-01

    We aim to inform the development of decision support tools for resource managers who need to examine large complex ecosystems and make recommendations in the face of many tradeoffs and conflicting drivers. We take a semantic technology approach, leveraging background ontologies and the growing body of linked open data. In previous work, we designed and implemented a semantically enabled environmental monitoring framework called SemantEco and used it to build a water quality portal named SemantAqua. Our previous system included foundational ontologies to support environmental regulation violations and relevant human health effects. In this work, we discuss SemantEco’s new architecture that supports modular extensions and makes it easier to support additional domains. Our enhanced framework includes foundational ontologies to support modeling of wildlife observation and wildlife health impacts, thereby enabling deeper and broader support for more holistically examining the effects of environmental pollution on ecosystems. We conclude with a discussion of how, through the application of semantic technologies, modular designs will make it easier for resource managers to bring in new sources of data to support more complex use cases.

  8. Symbolic Representation of Algorithmic Game Semantics

    Directory of Open Access Journals (Sweden)

    Aleksandar S. Dimovski

    2012-10-01

    Full Text Available In this paper we revisit the regular-language representation of game semantics of second-order recursion free Idealized Algol with infinite data types. By using symbolic values instead of concrete ones we generalize the standard notion of regular-language and automata representations to that of corresponding symbolic representations. In this way terms with infinite data types, such as integers, can be expressed as finite symbolic-automata although the standard automata interpretation is infinite. Moreover, significant reductions of the state space of game semantics models are obtained. This enables efficient verification of terms, which is illustrated with several examples.

  9. Co-occurrence frequency evaluated with large language corpora boosts semantic priming effects.

    Science.gov (United States)

    Brunellière, Angèle; Perre, Laetitia; Tran, ThiMai; Bonnotte, Isabelle

    2017-09-01

    In recent decades, many computational techniques have been developed to analyse the contextual usage of words in large language corpora. The present study examined whether the co-occurrence frequency obtained from large language corpora might boost purely semantic priming effects. Two experiments were conducted: one with conscious semantic priming, the other with subliminal semantic priming. Both experiments contrasted three semantic priming contexts: an unrelated priming context and two related priming contexts with word pairs that are semantically related and that co-occur either frequently or infrequently. In the conscious priming presentation (166-ms stimulus-onset asynchrony, SOA), a semantic priming effect was recorded in both related priming contexts, which was greater with higher co-occurrence frequency. In the subliminal priming presentation (66-ms SOA), no significant priming effect was shown, regardless of the related priming context. These results show that co-occurrence frequency boosts pure semantic priming effects and are discussed with reference to models of semantic network.

  10. 3 keys to defeating unconscious bias watch, think, act

    CERN Document Server

    Thiederman, Sondra

    2015-01-01

    Have you ever had a biased thought? If the answer is “yes,” join the club. Everybody has biases and, although that doesn’t make us bad people, it does mean we compromise our ability to get along with people who are different from us. The good news is, there’s a lot we can do to defeat bias. Calling on Dr. Sondra Thiederman’s twenty-five years of experience in the diversity/inclusion field, the book lays out an innovative WATCH, THINK, ACT strategy that each of us can immediately apply to the task. Easy-to-read and filled with anecdotes and activities, 3 Keys shows the reader: • How to WATCH their thoughts, experiences, and actions to identify unconscious biases and target them for extinction. • How to THINK in such a way as to weaken and control our biases. • How to ACT to defeat our biases and cultivate the kind of common ground that we know to be inhospitable to the survival of bias. Designed to motivate real change, the answer to defeating our biases is in these pages. The rest is up to you...

  11. Intensive care unit research ethics and trials on unconscious patients.

    Science.gov (United States)

    Gillett, G R

    2015-05-01

    There are widely acknowledged ethical issues in enrolling unconscious patients in research trials, particularly in intensive care unit (ICU) settings. An analysis of those issues shows that, by and large, patients are better served in units where research is actively taking place for several reasons: i) they do not fall prey to therapeutic prejudices without clear evidential support, ii) they get a chance of accessing new and potentially beneficial treatments, iii) a climate of careful monitoring of patients and their clinical progress is necessary for good clinical research and affects the care of all patients and iv) even those not in the treatment arm of a trial of a new intervention must receive best current standard care (according to international evidence-based treatment guidelines). Given that we have discovered a number of 'best practice' regimens of care that do not optimise outcomes in ICU settings, it is of great benefit to all patients (including those participating in research) that we are constantly updating and evaluating what we do. Therefore, the practice of ICU-based clinical research on patients, many of whom cannot give prospective informed consent, ticks all the ethical boxes and ought to be encouraged in our health system. It is very important that the evaluation of protocols for ICU research should not overlook obvious (albeit probabilistic) benefits to patients and the acceptability of responsible clinicians entering patients into well-designed trials, even though the ICU setting does not and cannot conform to typical informed consent procedures and requirements.

  12. Masculine complex: From realistic discrimination to unconscious implementation

    Directory of Open Access Journals (Sweden)

    Todorović Milorad V.

    2013-01-01

    Full Text Available Critics that is coming from women and women's movements, marred in large part by psychoanalysis, structuralism, semiology and deconstructionism, have made significant inroads in the dispossession of strong subject, not only for their own benefit but also for the benefit of that same powerless strong subject. Rejecting the imposition of a false universalism of one single (male culture, women's studies have made the necessary re-interpretation of history in which women were excluded. Excluded women, woman commodity, woman sign that enables male communication, had the means to reduce the power of strong subject and destroy her and his sexuality. This was mainly contributed by inevitable unconscious position of excluded, slave, commodity or poor subject as complex of masculinity. It's not only about the fact that power is in the one that is object of envy. Through complex of masculinity and rejection of women, woman is trying to ' be '. Women , in the words of Judith Butler ( Butler , can never just ' be ', because they are the measure of the difference. Women are the 'difference' that can not be seen as a 'second ', or, they are merely the negation of the subject that can only be male ( Butler 2010:77 . For mental development it is of paramount importance in which way will complex of masculinity affect the sexuality as a central place of 'psychic'. It is a question of most importance for civilization.

  13. A Vectorial Semantics Approach to Personality Assessment

    OpenAIRE

    Neuman, Yair; Cohen, Yochai

    2014-01-01

    Personality assessment and, specifically, the assessment of personality disorders have traditionally been indifferent to computational models. Computational personality is a new field that involves the automatic classification of individuals' personality traits that can be compared against gold-standard labels. In this context, we introduce a new vectorial semantics approach to personality assessment, which involves the construction of vectors representing personality dimensions and disorders...

  14. Exploring Context Semantics for Proactive Cooperative Visualization

    Science.gov (United States)

    Hervás, Ramón; Nava, Salvador W.; Fontecha, Jesús; Casero, Gregorio; Laguna, Javier; Bravo, José

    Context-awareness offers opportunities in proactive adaptation of visualization services. The acquisition and representation of the user situation can better support the cooperative tasks, adapting the interactive services at run-time. This paper proposes a formal context model, based on Semantic Web languages, and providing interoperation between heterogeneous services and mechanisms for a dynamic definition of user interfaces.

  15. Is There Semantic Interference in Delayed Naming?

    NARCIS (Netherlands)

    Mädebach, A.; Oppermann, F.; Hantsch, A.; Curda, C.; Jescheniak, J.D.

    2011-01-01

    The semantic interference effect in the picture-word interference task is interpreted as an index of lexical competition in prominent speech production models. Janssen, Schirm, Mahon, and Caramazza (2008) challenged this interpretation on the basis of experiments with a novel version of this task,

  16. The benefits of "sleeping on things": Unconscious thought leads to automatic weighting

    NARCIS (Netherlands)

    Bos, M.W.; Dijksterhuis, A.J.; Baaren, R.B. van

    2011-01-01

    We tested and confirmed the hypothesis that unconscious thought leads to an automatic weighting process whereby important decision attributes receive more weight, and unimportant decision attributes receive less weight. In three experiments, participants chose between cars with few important

  17. Consciousness, unconsciousness and death in the context of slaughter. Part II. Evaluation methods.

    Science.gov (United States)

    Terlouw, Claudia; Bourguet, Cécile; Deiss, Véronique

    2016-08-01

    This second review describes indicators of consciousness and unconsciousness that can be used in the abattoir. These indicators evaluate different aspects of cerebral functioning, but only indirectly. It is therefore necessary to monitor several indicators. Animals are considered unconscious if signs of consciousness are absent, and signs of unconsciousness are present. Given that the unconscious state may be reversible it is further necessary to monitor these indicators until the end of bleeding. The techniques used to diagnose brain death in humans cannot be used in the slaughterhouse. Under field conditions, at the end of bleeding, the absence of breathing and of brainstem reflexes and the adequacy of the exsanguination are verified. If these three aspects are confirmed, in the context of the slaughterhouse and at this stage of the slaughter process the loss of vital functions is irreversible and the animal can be considered dead. Copyright © 2016 Elsevier Ltd. All rights reserved.

  18. Definitely maybe: Can unconscious processes perform the same functions as conscious processes?

    Directory of Open Access Journals (Sweden)

    Guido eHesselmann

    2015-05-01

    Full Text Available Hassin recently proposed the Yes It Can (YIC principle to describe the division of labor between conscious and unconscious processes in human cognition. According to this principle, unconscious processes can carry out every fundamental high-level cognitive function that conscious processes can perform. In our commentary, we argue that the author presents an overly idealized review of the literature in support of the YIC principle. Furthermore, we point out that the dissimilar trends observed in social and cognitive psychology, with respect to published evidence of strong unconscious effects, can better be explained by the way how awareness is defined and measured in both research fields. Finally, we show that the experimental paradigm chosen by Hassin to rule out remaining objections against the YIC principle is unsuited to verify the new default notion that all high-level cognitive functions can unfold unconsciously.

  19. Gazetteer Brokering through Semantic Mediation

    Science.gov (United States)

    Hobona, G.; Bermudez, L. E.; Brackin, R.

    2013-12-01

    A gazetteer is a geographical directory containing some information regarding places. It provides names, location and other attributes for places which may include points of interest (e.g. buildings, oilfields and boreholes), and other features. These features can be published via web services conforming to the Gazetteer Application Profile of the Web Feature Service (WFS) standard of the Open Geospatial Consortium (OGC). Against the backdrop of advances in geophysical surveys, there has been a significant increase in the amount of data referenced to locations. Gazetteers services have played a significant role in facilitating access to such data, including through provision of specialized queries such as text, spatial and fuzzy search. Recent developments in the OGC have led to advances in gazetteers such as support for multilingualism, diacritics, and querying via advanced spatial constraints (e.g. search by radial search and nearest neighbor). A challenge remaining however, is that gazetteers produced by different organizations have typically been modeled differently. Inconsistencies from gazetteers produced by different organizations may include naming the same feature in a different way, naming the attributes differently, locating the feature in a different location, and providing fewer or more attributes than the other services. The Gazetteer application profile of the WFS is a starting point to address such inconsistencies by providing a standardized interface based on rules specified in ISO 19112, the international standard for spatial referencing by geographic identifiers. The profile, however, does not provide rules to deal with semantic inconsistencies. The USGS and NGA commissioned research into the potential for a Single Point of Entry Global Gazetteer (SPEGG). The research was conducted by the Cross Community Interoperability thread of the OGC testbed, referenced OWS-9. The testbed prototyped approaches for brokering gazetteers through use of semantic

  20. A research on semantic Web services discovery mechanism

    Science.gov (United States)

    Chen, Zhijun; Li, Xinke

    2011-12-01

    Semantic Web service discovery is focused on finding the best services from the majority of services which provide similar or same functions based on Semantic matching Algorithms. This paper firstly proposed a new QoS model for describing Semantic Web services by adding a new significant characteristic (SU ratio) of QoS. To raise the finding work efficiency, we then give an improved algorithm for matching semantic web services; the new algorithm does not only focus on the inclusion relation of ontology concepts in taxonomic tree as implemented by classic algorithms, but also includes binary relations. Through the comparison of weighted semantic distance in taxonomic tree, the similarity computation is more accuracy and the precision ratio and recall ratio of algorithm is enhanced. Finally a preliminary case study was accomplished in order to prove its applicability and viability.

  1. Novel metaphor comprehension: Semantic neighbourhood density interacts with concreteness.

    Science.gov (United States)

    Al-Azary, Hamad; Buchanan, Lori

    2017-02-01

    Previous research suggests that metaphor comprehension is affected both by the concreteness of the topic and vehicle and their semantic neighbours (Kintsch, 2000; Xu, 2010). However, studies have yet to manipulate these 2 variables simultaneously. To that end, we composed novel metaphors manipulated on topic concreteness and semantic neighbourhood density (SND) of topic and vehicle. In Experiment 1, participants rated the metaphors on the suitability (e.g. sensibility) of their topic-vehicle pairings. Topic concreteness interacted with SND such that participants rated metaphors from sparse semantic spaces to be more sensible than those from dense semantic spaces and preferred abstract topics over concrete topics only for metaphors from dense semantic spaces. In Experiments 2 and 3, we used presentation deadlines and found that topic concreteness and SND affect the online processing stages associated with metaphor comprehension. We discuss how the results are aligned with established psycholinguistic models of metaphor comprehension.

  2. Supervised learning of semantic classes for image annotation and retrieval.

    Science.gov (United States)

    Carneiro, Gustavo; Chan, Antoni B; Moreno, Pedro J; Vasconcelos, Nuno

    2007-03-01

    A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as the group of database images labeled with a common semantic label. It is shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not require prior semantic segmentation of training images. In particular, images are represented as bags of localized feature vectors, a mixture density estimated for each image, and the mixtures associated with all images annotated with a common semantic label pooled into a density estimate for the corresponding semantic class. This pooling is justified by a multiple instance learning argument and performed efficiently with a hierarchical extension of expectation-maximization. The benefits of the supervised formulation over the more complex, and currently popular, joint modeling of semantic label and visual feature distributions are illustrated through theoretical arguments and extensive experiments. The supervised formulation is shown to achieve higher accuracy than various previously published methods at a fraction of their computational cost. Finally, the proposed method is shown to be fairly robust to parameter tuning.

  3. Intuition in the Context of Object Perception: Intuitive Gestalt Judgments Rest on the Unconscious Activation of Semantic Representations

    Science.gov (United States)

    Bolte, Annette; Goschke, Thomas

    2008-01-01

    Intuition denotes the ability to judge stimulus properties on the basis of information that is activated in memory, but not consciously retrieved. In three experiments we show that participants discriminated better than chance fragmented line drawings depicting meaningful objects (coherent fragments) from fragments consisting of randomly displaced…

  4. e-Science and biological pathway semantics

    Directory of Open Access Journals (Sweden)

    Luciano Joanne S

    2007-05-01

    Full Text Available Abstract Background The development of e-Science presents a major set of opportunities and challenges for the future progress of biological and life scientific research. Major new tools are required and corresponding demands are placed on the high-throughput data generated and used in these processes. Nowhere is the demand greater than in the semantic integration of these data. Semantic Web tools and technologies afford the chance to achieve this semantic integration. Since pathway knowledge is central to much of the scientific research today it is a good test-bed for semantic integration. Within the context of biological pathways, the BioPAX initiative, part of a broader movement towards the standardization and integration of life science databases, forms a necessary prerequisite for its successful application of e-Science in health care and life science research. This paper examines whether BioPAX, an effort to overcome the barrier of disparate and heterogeneous pathway data sources, addresses the needs of e-Science. Results We demonstrate how BioPAX pathway data can be used to ask and answer some useful biological questions. We find that BioPAX comes close to meeting a broad range of e-Science needs, but certain semantic weaknesses mean that these goals are missed. We make a series of recommendations for re-modeling some aspects of BioPAX to better meet these needs. Conclusion Once these semantic weaknesses are addressed, it will be possible to integrate pathway information in a manner that would be useful in e-Science.

  5. Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor

    2012-11-15

    Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require continuous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promising to model diverse Smart Grid domain knowledge for enhanced situation awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic analysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak power situations by diverse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management.

  6. Addressing Semantic Geographic Information Systems

    Directory of Open Access Journals (Sweden)

    Salvatore F. Pileggi

    2013-11-01

    Full Text Available The progressive consolidation of information technologies on a large scale has been facilitating and progressively increasing the production, collection, and diffusion of geographic data, as well as facilitating the integration of a large amount of external information into geographic information systems (GIS. Traditional GIS is transforming into a consolidated information infrastructure. This consolidated infrastructure is affecting more and more aspects of internet computing and services. Most popular systems (such as social networks, GPS, and decision support systems involve complex GIS and significant amounts of information. As a web service, GIS is affected by exactly the same problems that affect the web as a whole. Therefore, next generation GIS solutions have to address further methodological and data engineering challenges in order to accommodate new applications’ extended requirements (in terms of scale, interoperability, and complexity. The conceptual and semantic modeling of GIS, as well as the integration of semantics into current GIS, provide highly expressive environments that are capable of meeting the needs and requirements of a wide range of applications.

  7. The Semantics of "Violence"

    DEFF Research Database (Denmark)

    Levisen, Carsten

    counterparts in many (most) languages, and thatPinker’s claims are Anglocentric in nature. My papir studies the intricate details of vaeolens, as a new word that has attracted a number ofother English-based phraseologies such as vaeolens againsem woman ‘violence against women’,and vaeolens againsem pikinini...... ‘violence against children’. Semantic explications of “violence/vaeolens”, kilim and faetem will be provided and based on these explications, two different culturalmodels will be articulated, based on two radically different ways of co-conceptualizing the humanbody, personhood, sociality, and power......This paper presents a semantic analysis of “violence” – a word around which Anglo-internationaldiscourses revolve. Many ethnolinguistic communities around the world are currently adapting thisEnglish lexical concept into their linguistic systems, and, presumably also, the view of the worldembodied...

  8. Semantic Gaps Are Dangerous

    DEFF Research Database (Denmark)

    Ejstrup, Michael; le Fevre Jakobsen, Bjarne

    Semantic gaps are dangerous Language adapts to the environment where it serves as a tool to communication. Language is a social agreement, and we all have to stick to both grammaticalized and non-grammaticalized rules in order to pass information about the world around us. As such language develops...... unpolite language and tend to create dangerous relations where specialy language creates problems and trouble that could be avoided if we had better language tools at hand. But we have not these tools of communication, and we are in a situation today where media and specially digital and social media......, supported by new possibilities of migration, create dangerous situations. How can we avoid these accidental gaps in language and specially the gaps in semantic and metaphoric tools. Do we have to keep silent and stop discusing certain isues, or do we have other ways to get acces to sufficient language tools...

  9. SEMANTIC DERIVATION OF BORROWINGS

    Directory of Open Access Journals (Sweden)

    Shigapova, F.F.

    2017-09-01

    Full Text Available The author carried out the contrastive analysis of the word спикер borrowed into Russian from English and the English word speaker. The findings of the analysis include confirm (1 different derivational abilities and functions of the borrowed word and the native word; (2 distinctive features in the definitions, i.e. semantic structures, registered in monolingual non-abridged dictionaries; (3 heterogeneous parameters of frequencies recorded in the National Corpus of the Russian language and the British National Corpus; (4 absence of bilingual equivalent collocations with words спикер and speaker. The collocations with words studied revealed new lexical and connotative senses in the meaning of the word. Relevance of the study conducted is justified by the new facts revealed about the semantic adaptation of the borrowed word in the system of the Russian language and its paradigmatic and syntagmatic connections in the system of the recipient language.

  10. Intuitions and Competence in Formal Semantics

    Directory of Open Access Journals (Sweden)

    Martin Stokhof

    2010-12-01

    Full Text Available In formal semantics intuition plays a key role, in two ways. Intuitions about semantic properties of expressions are the primary data, and intuitions of the semanticists are the main access to these data. The paper investigates how this dual role is related to the concept of competence and the role that this concept plays in semantics. And it inquires whether the self-reflexive role of intuitions has consequences for the methodology of semantics as an empirical discipline.ReferencesBaggio, Giosuè, van Lambalgen, Michiel & Hagoort, Peter. 2008. ‘Computing and recomputing discourse models: an ERP study of the semantics of temporal connectives’. Journal of Memory and Language 59, no. 1: 36–53.http://dx.doi.org/10.1016/j.jml.2008.02.005Chierchia, Gennaro & McConnell-Ginet, Sally. 2000. Meaning and Grammar. second ed. Cambridge, Mass.: MIT Press.Chomsky, Noam. 1965. Aspects of the Theory of Syntax. Cambridge, Mass.: MIT Press.Cresswell, Max J. 1978. ‘Semantic competence’. In F. Guenthner & M. Guenther-Reutter (eds. ‘Meaning and Translation’, 9–27. Duckworth, London. de Swart, Henriëtte. 1998. Introduction to Natural Language Semantics. Stanford: CSLI.Dowty, David, Wall, Robert & Peters, Stanley. 1981. Introduction to Montague Semantics. Dordrecht: Reidel.Heim, Irene & Kratzer, Angelika. 1998. Semantics in Generative Grammar. Oxford: Blackwell.Larson, Richard & Segal, Gabriel. 1995. Knowledge of Meaning. Cambridge, Mass.: MIT Press.Lewis, David K. 1975. ‘Languages and Language’. In Keith Gunderson (ed. ‘Language, Mind and Knowledge’, 3–35. Minneapolis: University of Minnesota Press.Montague, Richard. 1970. ‘Universal Grammar’. Theoria 36: 373–98.http://dx.doi.org/10.1111/j.1755-2567.1970.tb00434.xPartee, Barbara H. 1979. ‘Semantics – Mathematics or Psychology?’ In Rainer Bäuerle, Urs Egli & Arnim von Stechow (eds. ‘Semantics from Different Points of View’, 1–14. Berlin: Springer.Partee, Barbara H. 1980.

  11. The neural substrates of semantic memory deficits in early Alzheimer's disease: Clues from semantic priming effects and FDG-PET

    International Nuclear Information System (INIS)

    Giffard, B.; Laisney, M.; Mezenge, F.; De la Sayette, V.; Eustache, F.; Desgranges, B.

    2008-01-01

    The neural substrates responsible for semantic dysfunction during the early stages of AD have yet to be clearly identified. After a brief overview of the literature on normal and pathological semantic memory, we describe a new approach, designed to provide fresh insights into semantic deficits in AD. We mapped the correlations between resting-state brain glucose utilisation measured by FDG-PET and semantic priming scores in a group of 17 AD patients. The priming task, which yields a particularly pure measurement of semantic memory, was composed of related pairs of words sharing an attribute relationship (e.g. tiger-stripe). The priming scores correlated positively with the metabolism of the superior temporal areas on both sides, especially the right side, and this correlation was shown to be specific to the semantic priming effect.This pattern of results is discussed in the light of recent theoretical models of semantic memory, and suggests that a dysfunction of the right superior temporal cortex may contribute to early semantic deficits, characterised by the loss of specific features of concepts in AD. (authors)

  12. Semantics of the VDM Real-Time Dialect

    DEFF Research Database (Denmark)

    Lausdahl, Kenneth; Coleman, Joey; Larsen, Peter Gorm

    All formally defined languages need to be given an unambiguous semantics such that the meaning of all models expressed using the language is clear. In this technical report a semantic model is provided for the Real-Time dialect of the Vienna Development Method (VDM). This builds upon both...... the formal semantics provided for the ISO standard VDM Specification Language, and on other work on the core of the VDM-RT notation. Although none of the VDM dialects are executable in general, the primary focus of the work presented here is on the executable subset. This focus is result of parallel work...

  13. Insensitive Enough Semantics

    Directory of Open Access Journals (Sweden)

    Richard Vallée

    2006-06-01

    Full Text Available According to some philosophers, sentences like (1 “It is raining” and (2 “John is ready” are context sensitive sentences even if they do not contain indexicals or demonstratives. That view initiated a context sensitivity frenzy. Cappelen and Lepore (2005 summarize the frenzy by the slogan “Every sentence is context sensitive” (Insensitive Semantics, p. 6, note 5. They suggest a view they call Minimalism according to which the truth conditions of utterances of sentences like (1/(2 are exactly what Convention T gives you. I will distinguish different propositions, and refocus semantics on sentences. As distinct from what the protagonists in the ongoing debate think, I argue that the content or truth conditions of utterances of both context sensitive sentences and sentences like (1/(2 are not interesting from a semantic point of view, and that the problem sentences like (1/(2 raises is not about context sensitivity or context insensitivity of sentences, but relevance of the content of utterances.

  14. Remodularization Analysis Using Semantic Clustering

    OpenAIRE

    Santos, Gustavo; Tulio Valente, Marco; Anquetil, Nicolas

    2014-01-01

    International audience; In this paper, we report an experience on using and adapting Semantic Clustering to evaluate software remodularizations. Semantic Clustering is an approach that relies on information retrieval and clustering techniques to extract sets of similar classes in a system, according to their vocabularies. We adapted Semantic Clustering to support remodularization analysis. We evaluate our adaptation using six real-world remodularizations of four software systems. We report th...

  15. Semantic multimedia analysis and processing

    CERN Document Server

    Spyrou, Evaggelos; Mylonas, Phivos

    2014-01-01

    Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4)

  16. Semantic Representatives of the Concept

    Directory of Open Access Journals (Sweden)

    Elena N. Tsay

    2013-01-01

    Full Text Available In the article concept as one of the principle notions of cognitive linguistics is investigated. Considering concept as culture phenomenon, having language realization and ethnocultural peculiarities, the description of the concept “happiness” is presented. Lexical and semantic paradigm of the concept of happiness correlates with a great number of lexical and semantic variants. In the work semantic representatives of the concept of happiness, covering supreme spiritual values are revealed and semantic interpretation of their functioning in the Biblical discourse is given.

  17. System semantics of explanatory dictionaries

    Directory of Open Access Journals (Sweden)

    Volodymyr Shyrokov

    2015-11-01

    Full Text Available System semantics of explanatory dictionaries Some semantic properties of the language to be followed from the structure of lexicographical systems of big explanatory dictionaries are considered. The hyperchains and hypercycles are determined as the definite kind of automorphisms of the lexicographical system of explanatory dictionary. Some semantic consequencies following from the principles of lexicographic closure and lexicographic completeness are investigated using the hyperchains and hypercycles formalism. The connection between the hypercyle properties of the lexicographical system semantics and Goedel’s incompleteness theorem is discussed.

  18. Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

    Directory of Open Access Journals (Sweden)

    Sohail Jabbar

    2017-01-01

    Full Text Available Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools.

  19. Semantic dementia and the left and right temporal lobes.

    Science.gov (United States)

    Snowden, Julie S; Harris, Jennifer M; Thompson, Jennifer C; Kobylecki, Christopher; Jones, Matthew; Richardson, Anna M; Neary, David

    2017-08-31

    Semantic dementia, a circumscribed disorder of semantic knowledge, provides a unique model for understanding the neural basis for semantic representation. The study addressed areas of contention: the relative roles of the left and right temporal lobe, the contribution of anterior versus posterior temporal cortex and the status of the anterior temporal lobes as amodal hub. Naming and word comprehension was examined in 41 semantic dementia patients, 31 with left-predominant and 10 right-predominant atrophy. In keeping with expectation, naming and comprehension were significantly poorer in left-predominant patients. Structural magnetic resonance image analysis, using a visual rating scale, showed strong inverse correlations between naming scores and severity of both left anterior and posterior temporal lobe atrophy. By contrast, comprehension performance was more strongly correlated with left posterior temporal atrophy. Analysis of naming errors revealed a correlation between anterior temporal atrophy and associative/functional descriptive responses, implying availability of semantic information. By contrast, 'don't know' responses, indicative of loss of semantic knowledge, were linked to left posterior temporal lobe atrophy. Semantic errors, the hallmark of semantic dementia, were linked to right hemisphere atrophy, especially the right posterior temporal lobe. Matched visual-verbal tasks (famous face and name identification, Pyramids and Palm trees pictures and words, animal knowledge from 3-D models and animal names) administered to nine patients elicited variable correspondence between performance on nonverbal and verbal versions of the task. Marked performance dissociations were demonstrated in some patients: poorer understanding of names/words in left-predominant patients and of faces/pictures/models in right-predominant cases. The findings are compatible with the notion of the anterior temporal lobes as areas of convergence, but are less easily accommodated

  20. idSpace D2.3 – Semantic meta-model integration and transformations v2

    DEFF Research Database (Denmark)

    Dolog, Peter; Grube, Pascal; Schmid, Klaus

    2009-01-01

    This deliverable discusses an extended set of requirements for transformations and metamodel for creativity techniques. Based on the requirements, the deliverable provides refined meta-model. The metamodel allows for more advanced transforma-tion concepts besides the previously delivered graph tr...

  1. idSpace D2.2 – Semantic meta-model, integration and transformations v1

    DEFF Research Database (Denmark)

    Dolog, Peter; Lin, Yujian; Dols, Roger

    2009-01-01

    This report introduces a topic maps based meta-model for creativity techniques, creativity process, and idea maps as results from creativity process. It proposes a graph based and hierarchical graph based transformation of idea maps for combination and integration of results of different creativi...

  2. Auto-Generated Semantic Processing Services

    Science.gov (United States)

    Davis, Rodney; Hupf, Greg

    2009-01-01

    Auto-Generated Semantic Processing (AGSP) Services is a suite of software tools for automated generation of other computer programs, denoted cross-platform semantic adapters, that support interoperability of computer-based communication systems that utilize a variety of both new and legacy communication software running in a variety of operating- system/computer-hardware combinations. AGSP has numerous potential uses in military, space-exploration, and other government applications as well as in commercial telecommunications. The cross-platform semantic adapters take advantage of common features of computer- based communication systems to enforce semantics, messaging protocols, and standards of processing of streams of binary data to ensure integrity of data and consistency of meaning among interoperating systems. The auto-generation aspect of AGSP Services reduces development time and effort by emphasizing specification and minimizing implementation: In effect, the design, building, and debugging of software for effecting conversions among complex communication protocols, custom device mappings, and unique data-manipulation algorithms is replaced with metadata specifications that map to an abstract platform-independent communications model. AGSP Services is modular and has been shown to be easily integrable into new and legacy NASA flight and ground communication systems.

  3. Exploring media bias with semantic analysis tools: validation of the Contrast Analysis of Semantic Similarity (CASS).

    Science.gov (United States)

    Holtzman, Nicholas S; Schott, John Paul; Jones, Michael N; Balota, David A; Yarkoni, Tal

    2011-03-01

    Text-analytic methods have become increasingly popular in cognitive science for understanding differences in semantic structure between documents. However, such methods have not been widely used in other disciplines. With the aim of disseminating these approaches, we introduce a text-analytic technique (Contrast Analysis of Semantic Similarity, CASS, www.casstools.org), based on the BEAGLE semantic space model (Jones & Mewhort, Psychological Review, 114, 1-37, 2007) and add new features to test between-corpora differences in semantic associations (e.g., the association between democrat and good, compared to democrat and bad). By analyzing television transcripts from cable news from a 12-month period, we reveal significant differences in political bias between television channels (liberal to conservative: MSNBC, CNN, FoxNews) and find expected differences between newscasters (Colmes, Hannity). Compared to existing measures of media bias, our measure has higher reliability. CASS can be used to investigate semantic structure when exploring any topic (e.g., self-esteem or stereotyping) that affords a large text-based database.

  4. Semantic representation in the white matter pathway.

    Science.gov (United States)

    Fang, Yuxing; Wang, Xiaosha; Zhong, Suyu; Song, Luping; Han, Zaizhu; Gong, Gaolang; Bi, Yanchao

    2018-04-06

    Object conceptual processing has been localized to distributed cortical regions that represent specific attributes. A challenging question is how object semantic space is formed. We tested a novel framework of representing semantic space in the pattern of white matter (WM) connections by extending the representational similarity analysis (RSA) to structural lesion pattern and behavioral data in 80 brain-damaged patients. For each WM connection, a neural representational dissimilarity matrix (RDM) was computed by first building machine-learning models with the voxel-wise WM lesion patterns as features to predict naming performance of a particular item and then computing the correlation between the predicted naming score and the actual naming score of another item in the testing patients. This correlation was used to build the neural RDM based on the assumption that if the connection pattern contains certain aspects of information shared by the naming processes of these two items, models trained with one item should also predict naming accuracy of the other. Correlating the neural RDM with various cognitive RDMs revealed that neural patterns in several WM connections that connect left occipital/middle temporal regions and anterior temporal regions associated with the object semantic space. Such associations were not attributable to modality-specific attributes (shape, manipulation, color, and motion), to peripheral picture-naming processes (picture visual similarity, phonological similarity), to broad semantic categories, or to the properties of the cortical regions that they connected, which tended to represent multiple modality-specific attributes. That is, the semantic space could be represented through WM connection patterns across cortical regions representing modality-specific attributes.

  5. A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines

    OpenAIRE

    Junaid Rashid; Muhammad Wasif Nisar

    2016-01-01

    Semantic search engines(SSE) are more efficient than other web engines because in this era of busy life everyone wants an exact answer to his question which only semantic engines can provide. The immense increase in the volume of data, traditional search engines has increased the number of answers to satisfy the user. This creates the problem to search for the desired answer. To solve this problem, the trend of developing semantic search engines is increasing day by da...

  6. Biotea: semantics for Pubmed Central

    Directory of Open Access Journals (Sweden)

    Alexander Garcia

    2018-01-01

    Full Text Available A significant portion of biomedical literature is represented in a manner that makes it difficult for consumers to find or aggregate content through a computational query. One approach to facilitate reuse of the scientific literature is to structure this information as linked data using standardized web technologies. In this paper we present the second version of Biotea, a semantic, linked data version of the open-access subset of PubMed Central that has been enhanced with specialized annotation pipelines that uses existing infrastructure from the National Center for Biomedical Ontology. We expose our models, services, software and datasets. Our infrastructure enables manual and semi-automatic annotation, resulting data are represented as RDF-based linked data and can be readily queried using the SPARQL query language. We illustrate the utility of our system with several use cases. Our datasets, methods and techniques are available at http://biotea.github.io.

  7. A Novel Semantic Matching Method for Indoor Trajectory Tracking

    Directory of Open Access Journals (Sweden)

    Sheng Guo

    2017-07-01

    Full Text Available The rapid development of smartphone sensors has provided rich indoor pedestrian trajectory data for indoor location-based applications. To improve the quality of these collected trajectory data, map matching methods are widely used to correct trajectories. However, these existing matching methods usually cannot achieve satisfactory accuracy and efficiency and have difficulty in exploiting the rich information contained in the obtained trajectory data. In this study, we proposed a novel semantic matching method for indoor pedestrian trajectory tracking. Similar to our previous work, pedestrian dead reckoning (PDR and human activity recognition (HAR are used to obtain the raw user trajectory data and the corresponding semantic information involved in the trajectory, respectively. To improve the accuracy and efficiency for user trajectory tracking, a semantic-rich indoor link-node model is then constructed based on the input floor plan, in which navigation-related semantics are extracted and formalized for the following trajectory matching. PDR and HAR are further utilized to segment the trajectory and infer the semantics (e.g., “Turn left”, “Turn right”, and “Go straight”. Finally, the inferred semantic information is matched with the semantic-rich indoor link-node model to derive the correct user trajectory. To accelerate the matching process, the semantics inferred from the trajectory are also assigned weights according to their relative importance. The experiments confirm that the proposed method achieves accurate trajectory tracking results while guaranteeing a high matching efficiency. In addition, the resulting semantic information has great application potential in further indoor location-based services.

  8. Semantic content-based recommendations using semantic graphs.

    Science.gov (United States)

    Guo, Weisen; Kraines, Steven B

    2010-01-01

    Recommender systems (RSs) can be useful for suggesting items that might be of interest to specific users. Most existing content-based recommendation (CBR) systems are designed to recommend items based on text content, and the items in these systems are usually described with keywords. However, similarity evaluations based on keywords suffer from the ambiguity of natural languages. We present a semantic CBR method that uses Semantic Web technologies to recommend items that are more similar semantically with the items that the user prefers. We use semantic graphs to represent the items and we calculate the similarity scores for each pair of semantic graphs using an inverse graph frequency algorithm. The items having higher similarity scores to the items that are known to be preferred by the user are recommended.

  9. Centrality-based Selection of Semantic Resources for Geosciences

    Science.gov (United States)

    Cerba, Otakar; Jedlicka, Karel

    2017-04-01

    Semantical questions intervene almost in all disciplines dealing with geographic data and information, because relevant semantics is crucial for any way of communication and interaction among humans as well as among machines. But the existence of such a large number of different semantic resources (such as various thesauri, controlled vocabularies, knowledge bases or ontologies) makes the process of semantics implementation much more difficult and complicates the use of the advantages of semantics. This is because in many cases users are not able to find the most suitable resource for their purposes. The research presented in this paper introduces a methodology consisting of an analysis of identical relations in Linked Data space, which covers a majority of semantic resources, to find a suitable resource of semantic information. Identical links interconnect representations of an object or a concept in various semantic resources. Therefore this type of relations is considered to be crucial from the view of Linked Data, because these links provide new additional information, including various views on one concept based on different cultural or regional aspects (so-called social role of Linked Data). For these reasons it is possible to declare that one reasonable criterion for feasible semantic resources for almost all domains, including geosciences, is their position in a network of interconnected semantic resources and level of linking to other knowledge bases and similar products. The presented methodology is based on searching of mutual connections between various instances of one concept using "follow your nose" approach. The extracted data on interconnections between semantic resources are arranged to directed graphs and processed by various metrics patterned on centrality computing (degree, closeness or betweenness centrality). Semantic resources recommended by the research could be used for providing semantically described keywords for metadata records or as

  10. Semantics, Conceptual Role

    OpenAIRE

    Block, Ned

    1997-01-01

    According to Conceptual Role Semantics ("CRS"), the meaning of a representation is the role of that representation in the cognitive life of the agent, e.g. in perception, thought and decision-making. It is an extension of the well known "use" theory of meaning, according to which the meaning of a word is its use in communication and more generally, in social interaction. CRS supplements external use by including the role of a symbol inside a computer or a brain. The uses appealed to are not j...

  11. An Engineering Approach to Atomic Transaction Verification : Use of a Simple Object Model to Achieve Semantics-based Reasoning at Compile-time

    NARCIS (Netherlands)

    Spelt, D.; Even, S.J.

    In this paper, we take an engineering approach to atomic transaction verification. We discuss the design and implementation of a verification tool that can reason about the semantics of atomic database operations. To bridge the gap between language design and automated reasoning, we make use of a

  12. Are microglia minding us? Digging up the unconscious mind-brain relationship from a neuropsychoanalytic approach.

    Directory of Open Access Journals (Sweden)

    Takahiro A. Kato

    2013-02-01

    Full Text Available The unconscious mind-brain relationship remains unresolved. From the perspective of neuroscience, neuronal networks including synapses have been dominantly believed to play crucial roles in human mental activities, while glial contribution to mental activities has long been ignored. Recently, it has been suggested that microglia, glial cells with immunological/inflammatory functions, play important roles in psychiatric disorders. Newly revealed microglial roles, such as constant direct contact with synapses even in normal brain, have defied the common traditional belief that microglia do not contribution to neuronal networks. Recent human neuroeconomic investigations with healthy volunteers using minocycline, an antibiotic with inhibitory effects on microglial activation, suggest that microglia may unconsciously modulate human social behaviors as noise.We herein propose a novel unconscious mind structural system in the brain centering on microglia from a neuropsychoanalytic approach. At least to some extent, microglial activation in the brain may activate unconscious drives as psychological immune memory/reaction in the mind, and result in various emotions, traumatic reactions, psychiatric symptoms including suicidal behaviors, and (psychoanalytic transference during interpersonal relationships. Microglia have the potential to bridge the huge gap between neuroscience, biological psychiatry, psychology and psychoanalysis as a key player to connect the conscious and the unconscious world.

  13. Short- and long-term effects of conscious, minimally conscious and unconscious brand logos.

    Directory of Open Access Journals (Sweden)

    Charlotte Muscarella

    Full Text Available Unconsciously presented information can influence our behavior in an experimental context. However, whether these effects can be translated to a daily life context, such as advertising, is strongly debated. What hampers this translation is the widely accepted notion of the short-livedness of unconscious representations. The effect of unconscious information on behavior is assumed to rapidly vanish within a few hundreds of milliseconds. Using highly familiar brand logos (e.g., the logo of McDonald's as subliminal and supraliminal primes in two priming experiments, we assessed whether these logos were able to elicit behavioral effects after a short (e.g., 350 ms, a medium (e.g., 1000 ms, and a long (e.g., 5000 ms interval. Our results demonstrate that when real-life information is presented minimally consciously or even unconsciously, it can influence our subsequent behavior, even when more than five seconds pass between the presentation of the minimally conscious or unconscious information and the behavior on which it exerts its influence.

  14. Unconscious emotion regulation: Nonconscious reappraisal decreases emotion-related physiological reactivity during frustration.

    Science.gov (United States)

    Yuan, Jiajin; Ding, Nanxiang; Liu, Yingying; Yang, Jiemin

    2015-01-01

    Reappraisal of negative events is known to be useful in decreasing their emotional impact. However, existent evidence for this conclusion mostly relies on conscious, deliberate reappraisal that comes with the cost of cognitive efforts. The aim of the present study was to compare emotion regulation effects of conscious and unconscious reappraisal, which has been shown to be less costly in previous studies. Subjects randomly assigned to an unconscious reappraisal, conscious reappraisal, and control condition performed a frustrating arithmetic task. Subjective emotional experience and heart-rate reactivity were recorded. Participants primed with unconscious reappraisal showed the same decrease in heart-rate reactivity as those explicitly instructed to reappraise. In addition, the unconscious reappraisal group did not show reductions in subjective negative emotion, whereas this was significantly decreased in the conscious reappraisal group. Heart-rate reactivity was positively correlated with negative emotion ratings and negatively correlated with the positive emotion ratings. These results suggest that unconscious reappraisal is only effective in decreasing physiological consequences of frustrating emotion, but not in reducing subjective experience.

  15. Category-selective attention modulates unconscious processes in the middle occipital gyrus.

    Science.gov (United States)

    Tu, Shen; Qiu, Jiang; Martens, Ulla; Zhang, Qinglin

    2013-06-01

    Many studies have revealed the top-down modulation (spatial attention, attentional load, etc.) on unconscious processing. However, there is little research about how category-selective attention could modulate the unconscious processing. In the present study, using functional magnetic resonance imaging (fMRI), the results showed that category-selective attention modulated unconscious face/tool processing in the middle occipital gyrus (MOG). Interestingly, MOG effects were of opposed direction for face and tool processes. During unconscious face processing, activation in MOG decreased under the face-selective attention compared with tool-selective attention. This result was in line with the predictive coding theory. During unconscious tool processing, however, activation in MOG increased under the tool-selective attention compared with face-selective attention. The different effects might be ascribed to an interaction between top-down category-selective processes and bottom-up processes in the partial awareness level as proposed by Kouider, De Gardelle, Sackur, and Dupoux (2010). Specifically, we suppose an "excessive activation" hypothesis. Copyright © 2013 Elsevier Inc. All rights reserved.

  16. Is Schizophrenia a Disorder of Consciousness? Experimental and Phenomenological Support for Anomalous Unconscious Processing

    Directory of Open Access Journals (Sweden)

    Anne Giersch

    2017-09-01

    Full Text Available Decades ago, several authors have proposed that disorders in automatic processing lead to intrusive symptoms or abnormal contents in the consciousness of people with schizophrenia. However, since then, studies have mainly highlighted difficulties in patients’ conscious experiencing and processing but rarely explored how unconscious and conscious mechanisms may interact in producing this experience. We report three lines of research, focusing on the processing of spatial frequencies, unpleasant information, and time-event structure that suggest that impairments occur at both the unconscious and conscious level. We argue that focusing on unconscious, physiological and automatic processing of information in patients, while contrasting that processing with conscious processing, is a first required step before understanding how distortions or other impairments emerge at the conscious level. We then indicate that the phenomenological tradition of psychiatry supports a similar claim and provides a theoretical framework helping to understand the relationship between the impairments and clinical symptoms. We base our argument on the presence of disorders in the minimal self in patients with schizophrenia. The minimal self is tacit and non-verbal and refers to the sense of bodily presence. We argue this sense is shaped by unconscious processes, whose alteration may thus affect the feeling of being a unique individual. This justifies a focus on unconscious mechanisms and a distinction from those associated with consciousness.

  17. The pervasive nature of unconscious social information processing in executive control

    Directory of Open Access Journals (Sweden)

    Ranjani ePrabhakaran

    2012-04-01

    Full Text Available Humans not only have impressive executive abilities, but we are also fundamentally social creatures. In the cognitive neuroscience literature, it has long been assumed that executive control mechanisms, which play a critical role in guiding goal-directed behavior, operate on consciously processed information. Although more recent evidence suggests that unconsciously processed information can also influence executive control, most of this literature has focused on visual masked priming paradigms. However, the social psychological literature has demonstrated that unconscious influences are pervasive, and social information can unintentionally influence a wide variety of behaviors, including some that are likely to require executive abilities. For example, social information can unconsciously influence attention processes, such that simply instructing participants to describe a previous situation in which they had power over someone or someone else had power over them has been shown to unconsciously influence their attentional focus abilities, a key aspect of executive control. In the current review, we consider behavioral and neural findings from a variety of paradigms, including priming of goals and social hierarchical roles, as well as interpersonal interactions, in order to highlight the pervasive nature of social influences on executive control. These findings suggest that social information can play a critical role in executive control, and that this influence often occurs in an unconscious fashion. We conclude by suggesting further avenues of research for investigation of the interplay between social factors and executive control.

  18. Semantic Research for Digital Libraries.

    Science.gov (United States)

    Chen, Hsinchun

    1999-01-01

    Discusses the need for semantic research in digital libraries to help overcome interoperability problems. Highlights include federal initiatives; semantic analysis; knowledge representations; human-computer interactions and information visualization; and the University of Illinois DLI (Digital Libraries Initiative) project through partnership with…

  19. Semantic Analysis in Machine Translation.

    Science.gov (United States)

    Skorokhodko, E. F.

    1970-01-01

    In many cases machine-translation does not produce satisfactory results within the framework of purely formal (morphological and syntaxic) analysis, particularly, in the case of syntaxic and lexical homonomy. An algorithm for syntaxic-semantic analysis is proposed, and its principles of operation are described. The syntaxico-semantic structure is…

  20. A Generalization of Inquisitive Semantics

    Czech Academy of Sciences Publication Activity Database

    Punčochář, Vít

    2016-01-01

    Roč. 45, č. 4 (2016), s. 399-428 ISSN 0022-3611 R&D Projects: GA ČR(CZ) GA13-21076S Institutional support: RVO:67985955 Keywords : Intuitionistic logic * Superintuitionistic logics * Inquisitive logic * Topological semantics * Kripke semantics * Disjunction Subject RIV: AA - Philosophy ; Religion

  1. The Progressive in Modal Semantics.

    Science.gov (United States)

    Portner, Paul

    1998-01-01

    Presents a semantic analysis of English progressive as an intentional operator within the framework of modal semantics. The treatment allows a combination of the central idea that the progressive's meaning has a major modal component with insights of other theories. Using a more sophisticated background theory of modality allows natural solutions…

  2. Relative/Identical Semantic Structuralization

    Science.gov (United States)

    Stanley, George Edward

    1976-01-01

    Discusses the teaching of Afrikaans and English to speakers of Xhosa, with semantics as the point of focus. The purpose is to aid the teaching of Afrikaans and English by introducing componential analysis in order to compare the relative/identical aspects of semantic structuralization in these languages with those in Xhosa. (Author/RM)

  3. The Problem of Naturalizing Semantics.

    Science.gov (United States)

    Sullivan, Arthur

    2000-01-01

    Investigates conceptual barriers prevalent in the works of both proponents and opponents of semantic naturalism. Searches for a tenable definition of naturalism according to which one can be a realist, a non-reductionist, and a naturalist about semantic content. (Author/VWL)

  4. On the Semantics of Focus

    Science.gov (United States)

    Kess, Joseph F.

    1975-01-01

    This article discusses the semantics of the notion of focus, insofar as it relates to Filipino languages. The evolution of this notion is reviewed, and an alternative explanation of it is given, stressing the fact that grammar and semantics should be kept separate in a discussion of focus. (CLK)

  5. Learning document semantic representation with hybrid deep belief network.

    Science.gov (United States)

    Yan, Yan; Yin, Xu-Cheng; Li, Sujian; Yang, Mingyuan; Hao, Hong-Wei

    2015-01-01

    High-level abstraction, for example, semantic representation, is vital for document classification and retrieval. However, how to learn document semantic representation is still a topic open for discussion in information retrieval and natural language processing. In this paper, we propose a new Hybrid Deep Belief Network (HDBN) which uses Deep Boltzmann Machine (DBM) on the lower layers together with Deep Belief Network (DBN) on the upper layers. The advantage of DBM is that it employs undirected connection when training weight parameters which can be used to sample the states of nodes on each layer more successfully and it is also an effective way to remove noise from the different document representation type; the DBN can enhance extract abstract of the document in depth, making the model learn sufficient semantic representation. At the same time, we explore different input strategies for semantic distributed representation. Experimental results show that our model using the word embedding instead of single word has better performance.

  6. Polish Semantic Parser

    Directory of Open Access Journals (Sweden)

    Agnieszka Grudzinska

    2000-01-01

    Full Text Available Amount of information transferred by computers grows very rapidly thus outgrowing the average man's capability of reception. It implies computer programs increase in the demand for which would be able to perform an introductory classitication or even selection of information directed to a particular receiver. Due to the complexity of the problem, we restricted it to understanding short newspaper notes. Among many conceptions formulated so far, the conceptual dependency worked out by Roger Schank has been chosen. It is a formal language of description of the semantics of pronouncement integrated with a text understanding algorithm. Substantial part of each text transformation system is a semantic parser of the Polish language. It is a module, which as the first and the only one has an access to the text in the Polish language. lt plays the role of an element, which finds relations between words of the Polish language and the formal registration. It translates sentences written in the language used by people into the language theory. The presented structure of knowledge units and the shape of understanding process algorithms are universal by virtue of the theory. On the other hand the defined knowledge units and the rules used in the algorithms ure only examples because they are constructed in order to understand short newspaper notes.

  7. Semantics and pragmatics.

    Science.gov (United States)

    McNally, Louise

    2013-05-01

    The fields of semantics and pragmatics are devoted to the study of conventionalized and context- or use-dependent aspects of natural language meaning, respectively. The complexity of human language as a semiotic system has led to considerable debate about how the semantics/pragmatics distinction should be drawn, if at all. This debate largely reflects contrasting views of meaning as a property of linguistic expressions versus something that speakers do. The fact that both views of meaning are essential to a complete understanding of language has led to a variety of efforts over the last 40 years to develop better integrated and more comprehensive theories of language use and interpretation. The most important advances have included the adaptation of propositional analyses of declarative sentences to interrogative, imperative and exclamative forms; the emergence of dynamic, game theoretic, and multi-dimensional theories of meaning; and the development of various techniques for incorporating context-dependent aspects of content into representations of context-invariant content with the goal of handling phenomena such as vagueness resolution, metaphor, and metonymy. WIREs Cogn Sci 2013, 4:285-297. doi: 10.1002/wcs.1227 For further resources related to this article, please visit the WIREs website. The authors declare no conflict of interest. Copyright © 2013 John Wiley & Sons, Ltd.

  8. Browsing Semantic Data in Slovakia

    Directory of Open Access Journals (Sweden)

    Ján Mojžiš

    2016-01-01

    Full Text Available Semantic data browsing is important task for open and governmental data in behalf of public control. There are many projects and solutions regarding semantic data browsing and navigation, but despite the fact, in Slovakia, the availability of such data is poor. It is a shame, because projects like National Action Plan of Open Government and the site data.gov.sk are already operating for several years. In this work we would like to point out key aspects of semantic data and detail the Slovak market of semantic data. We design and propose oursolution of semantic data browsing, evaluate the implementation in our AGECRT NET tool.

  9. [Social representation of a psychoanalytical concept: what is the popular meaning of an "unconscious conflict"?].

    Science.gov (United States)

    Schomerus, Georg; Heitmann, Sabine; Matschinger, Herbert; Angermeyer, Matthias C

    2008-05-01

    A majority of the population regards unconscious conflict as a possible cause for depression or schizophrenia. We examine to what extent people associate psychoanalytical concepts with this term. Population-based telephone survey (n = 1010), open questions about the meaning and origin of the term unconscious conflict. 5 % gave a definition with clearly psychoanalytical elements, another 13 % perceived an internal conflict. 24 % thought of a conflict between persons, 23 % had no answer. Regarding the origin of the term, 4 % associated Freud or psychoanalysis, 27 % psychology. For both questions, answers closer to Freudian ideas were more common in West compared to East Germany. A concretised understanding far from Freud's original conception of unconscious conflict dominates, which is even stronger in the former communist parts of Germany. Psychoanalytical terms do not necessarily carry a psychoanalytical significance with the public.

  10. Bayesian natural language semantics and pragmatics

    CERN Document Server

    Zeevat, Henk

    2015-01-01

    The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice's contributions to pragmatics or in interpretation by abduction.

  11. Semantic Advertising for Web 3.0

    Science.gov (United States)

    Thomas, Edward; Pan, Jeff Z.; Taylor, Stuart; Ren, Yuan; Jekjantuk, Nophadol; Zhao, Yuting

    Advertising on the World Wide Web is based around automatically matching web pages with appropriate advertisements, in the form of banner ads, interactive adverts, or text links. Traditionally this has been done by manual classification of pages, or more recently using information retrieval techniques to find the most important keywords from the page, and match these to keywords being used by adverts. In this paper, we propose a new model for online advertising, based around lightweight embedded semantics. This will improve the relevancy of adverts on the World Wide Web and help to kick-start the use of RDFa as a mechanism for adding lightweight semantic attributes to the Web. Furthermore, we propose a system architecture for the proposed new model, based on our scalable ontology reasoning infrastructure TrOWL.

  12. Associative judgment and vector space semantics.

    Science.gov (United States)

    Bhatia, Sudeep

    2017-01-01

    I study associative processing in high-level judgment using vector space semantic models. I find that semantic relatedness, as quantified by these models, is able to provide a good measure of the associations involved in judgment, and, in turn, predict responses in a large number of existing and novel judgment tasks. My results shed light on the representations underlying judgment, and highlight the close relationship between these representations and those at play in language and in the assessment of word meaning. In doing so, they show how one of the best-known and most studied theories in decision making research can be formalized to make quantitative a priori predictions, and how this theory can be rigorously tested on a wide range of natural language judgment problems. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  13. Surrendering to the Dream: An Account of the Unconscious Dynamics of a Research Relationship

    Directory of Open Access Journals (Sweden)

    Jo Whitehouse-Hart

    2012-12-01

    Full Text Available Recent years have seen psychoanalysis move out of the clinical area into the arena of empirical social research. This article uses a case study from a psychoanalytically informed media research project to explore conceptual, ethical, and methodological implications in research design in the light of this shift. The ideas of unconscious communication between interviewer and interviewee, the role of the researcher’s subjectivity, and the impact of unconscious defences on the generation and interpretation of data are explored. In addition the free association narrative interviewing (FANI method is evaluated.

  14. Does unconscious thought outperform conscious thought on complex decisions? A further examination

    Directory of Open Access Journals (Sweden)

    Todd J. Thorsteinson

    2009-04-01

    Full Text Available Two experiments examined the benefits of unconscious thought on complex decisions (Dijksterhuis, 2004. Experiment 1 attempted to replicate and extend past research by examining the effect of providing reasons prior to rating the options. Results indicated no significant differences between the conditions. Experiment 2 attempted to replicate the findings of Dijksterhuis, Bos, Nordgren, and van Baaren (2006 and determine if a memory aid could overcome the limitations of conscious thought on complex tasks. Results revealed that a memory aid improved decisions compared to the conscious thought condition. Participants in the unconscious thought condition did not perform significantly better than did participants in the conscious thought condition.

  15. X-Informatics: Practical Semantic Science

    Science.gov (United States)

    Borne, K. D.

    2009-12-01

    The discipline of data science is merging with multiple science disciplines to form new X-informatics research disciplines. They are almost too numerous to name, but they include geoinformatics, bioinformatics, cheminformatics, biodiversity informatics, ecoinformatics, materials informatics, and the emerging discipline of astroinformatics. Within any X-informatics discipline, the information granules are unique to that discipline -- e.g., gene sequences in bio, the sky object in astro, and the spatial object in geo (such as points, lines, and polygons in the vector model, and pixels in the raster model). Nevertheless the goals are similar: transparent data re-use across subdisciplines and within education settings, information and data integration and fusion, personalization of user interactions with the data collection, semantic search and retrieval, and knowledge discovery. The implementation of an X-informatics framework enables these semantic e-science research goals. We describe the concepts, challenges, and new developments associated with the new discipline of astroinformatics, and how geoinformatics provides valuable lessons learned and a model for practical semantic science within a traditional science discipline through the accretion of data science methodologies (such as formal metadata creation, data models, data mining, information retrieval, knowledge engineering, provenance, taxonomies, and ontologies). The emerging concept of data-as-a-service (DaaS) builds upon the concept of smart data (or data DNA) for intelligent data management, automated workflows, and intelligent processing. Smart data, defined through X-informatics, enables several practical semantic science use cases, including self-discovery, data intelligence, automatic recommendations, relevance analysis, dimension reduction, feature selection, constraint-based mining, interdisciplinary data re-use, knowledge-sharing, data use in education, and more. We describe these concepts within the

  16. The geometric semantics of algebraic quantum mechanics.

    Science.gov (United States)

    Cruz Morales, John Alexander; Zilber, Boris

    2015-08-06

    In this paper, we will present an ongoing project that aims to use model theory as a suitable mathematical setting for studying the formalism of quantum mechanics. We argue that this approach provides a geometric semantics for such a formalism by means of establishing a (non-commutative) duality between certain algebraic and geometric objects. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

  17. Ontology content patterns as bridge for the semantic representation of clinical information.

    Science.gov (United States)

    Martínez-Costa, C; Schulz, S

    2014-01-01

    Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles. We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and composed. We describe and apply two content patterns for the representation of data on tobacco use, rendered according to two heterogeneous models, represented in openEHR and in HL7 CDA. Finally, we provide some query exemplars that demonstrate a data interoperability use case. The use of ontology content patterns facilitate the semantic representation of clinical information and therefore improve their semantic interoperability. There are open issues such as the scalability and performance of the approach if a logic-based language is used. Implementation decisions might determine the final degree of semantic interoperability, influenced by the state of the art of the semantic technologies.

  18. O lugar do inconsciente ou sobre o inconsciente como lugar The place of the unconscious or about the unconscious as a place

    Directory of Open Access Journals (Sweden)

    Deodato Curvo de Azambuja

    1999-01-01

    Full Text Available A idéia básica do trabalho envolve uma certa elaboração da tópica do inconsciente, que corresponde até certo ponto à teoria bioniana de visão binocular. Dentro dessa teoria, consciente e inconsciente emergem no aparelho psíquico e se constituem muito mais pelas suas funções do que por estruturas radicalmente diferentes. É enfatizado muito mais a necessidade das funções de ambas do que a singularidade e autonomia dos lugares dados a consciente e inconsciente.The basic idea in this paper involves a certain elaboration on the place of the unconscious, which corresponds, to a certain extent, to the Bionian theory of binocular vision. In this theory, both the conscious and unconscious emerge in the psychic apparatus and they are much more constituted by their functions than by radically different structures. What is emphasized is much more the need of functions for both than the singularity and autonomy of the locations attributed to conscious and unconscious.

  19. Spreading Activation in an Attractor Network with Latching Dynamics: Automatic Semantic Priming Revisited

    Science.gov (United States)

    Lerner, Itamar; Bentin, Shlomo; Shriki, Oren

    2012-01-01

    Localist models of spreading activation (SA) and models assuming distributed representations offer very different takes on semantic priming, a widely investigated paradigm in word recognition and semantic memory research. In this study, we implemented SA in an attractor neural network model with distributed representations and created a unified…

  20. Semantic priming without association: a meta-analytic review.

    Science.gov (United States)

    Lucas, M

    2000-12-01

    A meta-analysis of 26 studies indicated that automatic semantic priming can occur without association. Priming did not vary substantially with differences in variables that affect automatic versus strategic processing, such as time spent processing the prime and target, relationship proportion, and task (except that average effects were smaller in the naming task). Although category coordinates were investigated in the majority of studies, synonyms, antonyms, and script relations also demonstrated priming; functional relations showed greater priming, and essential and perceptual relations showed less. The average effect size for semantic priming was smaller than that for associative priming, suggesting that there is an "associative boost" from adding an associative relationship to a semantic one. The implications of these findings for the modularity thesis and for models of semantic priming are discussed.

  1. 2nd International Conference on Proof-Theoretic Semantics

    CERN Document Server

    Schroeder-Heister, Peter

    2016-01-01

    This volume is the first ever collection devoted to the field of proof-theoretic semantics. Contributions address topics including the systematics of introduction and elimination rules and proofs of normalization, the categorial characterization of deductions, the relation between Heyting's and Gentzen's approaches to meaning, knowability paradoxes, proof-theoretic foundations of set theory, Dummett's justification of logical laws, Kreisel's theory of constructions, paradoxical reasoning, and the defence of model theory. The field of proof-theoretic semantics has existed for almost 50 years, but the term itself was proposed by Schroeder-Heister in the 1980s. Proof-theoretic semantics explains the meaning of linguistic expressions in general and of logical constants in particular in terms of the notion of proof. This volume emerges from presentations at the Second International Conference on Proof-Theoretic Semantics in Tübingen in 2013, where contributing authors were asked to provide a self-contained descri...

  2. Adaptive semantics visualization

    CERN Document Server

    Nazemi, Kawa

    2016-01-01

    This book introduces a novel approach for intelligent visualizations that adapts the different visual variables and data processing to human’s behavior and given tasks. Thereby a number of new algorithms and methods are introduced to satisfy the human need of information and knowledge and enable a usable and attractive way of information acquisition. Each method and algorithm is illustrated in a replicable way to enable the reproduction of the entire “SemaVis” system or parts of it. The introduced evaluation is scientifically well-designed and performed with more than enough participants to validate the benefits of the methods. Beside the introduced new approaches and algorithms, readers may find a sophisticated literature review in Information Visualization and Visual Analytics, Semantics and information extraction, and intelligent and adaptive systems. This book is based on an awarded and distinguished doctoral thesis in computer science.

  3. Communication of Semantic Properties

    DEFF Research Database (Denmark)

    Lenau, Torben Anker; Boelskifte, Per

    2004-01-01

    The selection of materials and planning for production play a key role for the design of physical products. Product function, appearance and expression are influenced by the chosen materials and how they are shaped. However these properties are not carried by the material itself......, but by the specific way that the materials are used in the product. Selection of materials is therefore often done by looking at similar products. The product as well as its constitutive materials possesses a number of technical properties like strength, stiffness and hardness. Furthermore the product possesses...... a distinct character. For the technical properties there exists a well developed and commonly accepted terminology that can be utilised at product search and material selection (Ashby 1996). This is not the case for the semantic properties which are important for the outcome reflecting the product design...

  4. A Joint Investigation of Semantic Facilitation and Semantic Interference in Continuous Naming

    Science.gov (United States)

    Scaltritti, Michele; Peressotti, Francesca; Navarrete, Eduardo

    2017-01-01

    When speakers name multiple semantically related items, opposing effects can be found. Semantic facilitation is found when naming 2 semantically related items in a row. In contrast, semantic interference is found when speakers name semantically related items separated by 1 or more intervening unrelated items. This latter form of interference is…

  5. Semantic Segmentation of Indoor Point Clouds Using Convolutional Neural Network

    Science.gov (United States)

    Babacan, K.; Chen, L.; Sohn, G.

    2017-11-01

    As Building Information Modelling (BIM) thrives, geometry becomes no longer sufficient; an ever increasing variety of semantic information is needed to express an indoor model adequately. On the other hand, for the existing buildings, automatically generating semantically enriched BIM from point cloud data is in its infancy. The previous research to enhance the semantic content rely on frameworks in which some specific rules and/or features that are hand coded by specialists. These methods immanently lack generalization and easily break in different circumstances. On this account, a generalized framework is urgently needed to automatically and accurately generate semantic information. Therefore we propose to employ deep learning techniques for the semantic segmentation of point clouds into meaningful parts. More specifically, we build a volumetric data representation in order to efficiently generate the high number of training samples needed to initiate a convolutional neural network architecture. The feedforward propagation is used in such a way to perform the classification in voxel level for achieving semantic segmentation. The method is tested both for a mobile laser scanner point cloud, and a larger scale synthetically generated data. We also demonstrate a case study, in which our method can be effectively used to leverage the extraction of planar surfaces in challenging cluttered indoor environments.

  6. High Performance Descriptive Semantic Analysis of Semantic Graph Databases

    Energy Technology Data Exchange (ETDEWEB)

    Joslyn, Cliff A.; Adolf, Robert D.; al-Saffar, Sinan; Feo, John T.; Haglin, David J.; Mackey, Greg E.; Mizell, David W.

    2011-06-02

    As semantic graph database technology grows to address components ranging from extant large triple stores to SPARQL endpoints over SQL-structured relational databases, it will become increasingly important to be able to understand their inherent semantic structure, whether codified in explicit ontologies or not. Our group is researching novel methods for what we call descriptive semantic analysis of RDF triplestores, to serve purposes of analysis, interpretation, visualization, and optimization. But data size and computational complexity makes it increasingly necessary to bring high performance computational resources to bear on this task. Our research group built a novel high performance hybrid system comprising computational capability for semantic graph database processing utilizing the large multi-threaded architecture of the Cray XMT platform, conventional servers, and large data stores. In this paper we describe that architecture and our methods, and present the results of our analyses of basic properties, connected components, namespace interaction, and typed paths such for the Billion Triple Challenge 2010 dataset.

  7. Semantic acquisition games harnessing manpower for creating semantics

    CERN Document Server

    Šimko, Jakub

    2014-01-01

    A comprehensive and extensive review of state-of-the-art in semantics acquisition game (SAG) design A set of design patterns for SAG designers A set of case studies (real SAG projects) demonstrating the use of SAG design patterns

  8. Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network

    OpenAIRE

    Afifi, Mahmoud

    2018-01-01

    The goal of the computational color constancy is to preserve the perceptive colors of objects under different lighting conditions by removing the effect of color casts occurred by the scene's illumination. With the rapid development of deep learning based techniques, significant progress has been made in image semantic segmentation. In this work, we exploit the semantic information together with the color and spatial information of the input image in order to remove color casts. We train a co...

  9. Biological data integration using Semantic Web technologies.

    Science.gov (United States)

    Pasquier, C

    2008-04-01

    Current research in biology heavily depends on the availability and efficient use of information. In order to build new knowledge, various sources of biological data must often be combined. Semantic Web technologies, which provide a common framework allowing data to be shared and reused between applications, can be applied to the management of disseminated biological data. However, due to some specificities of biological data, the application of these technologies to life science constitutes a real challenge. Through a use case of biological data integration, we show in this paper that current Semantic Web technologies start to become mature and can be applied for the development of large applications. However, in order to get the best from these technologies, improvements are needed both at the level of tool performance and knowledge modeling.

  10. Semantic growth of morphological families in English

    Directory of Open Access Journals (Sweden)

    Henry Regina

    2013-01-01

    Full Text Available This paper explores the question of when and how morphological families are formed in one’s mental lexicon, by analyzing age-of-acquisition norms to morphological families (e.g., booking, bookshelf, check book and their shared morphemes (book. We demonstrate that the speed of growth and the size of the family depend on how early the shared morpheme is acquired and how many connections the family has at the time a new concept is incorporated in the family. These findings dovetail perfectly with the Semantic Growth model of connectivity in semantic networks by Steyvers and Tenenbaum (2005. We discuss implications of our findings for theories of vocabulary acquisition.

  11. A Compositional Semantics for Stochastic Reo Connectors

    Directory of Open Access Journals (Sweden)

    Young-Joo Moon

    2010-07-01

    Full Text Available In this paper we present a compositional semantics for the channel-based coordination language Reo which enables the analysis of quality of service (QoS properties of service compositions. For this purpose, we annotate Reo channels with stochastic delay rates and explicitly model data-arrival rates at the boundary of a connector, to capture its interaction with the services that comprise its environment. We propose Stochastic Reo automata as an extension of Reo automata, in order to compositionally derive a QoS-aware semantics for Reo. We further present a translation of Stochastic Reo automata to Continuous-Time Markov Chains (CTMCs. This translation enables us to use third-party CTMC verification tools to do an end-to-end performance analysis of service compositions.

  12. Formal Semantics and Implementation of BPMN 2.0 Inclusive Gateways

    Science.gov (United States)

    Christiansen, David Raymond; Carbone, Marco; Hildebrandt, Thomas

    We present the first direct formalization of the semantics of inclusive gateways as described in the Business Process Modeling Notation (BPMN) 2.0 Beta 1 specification. The formal semantics is given for a minimal subset of BPMN 2.0 containing just the inclusive and exclusive gateways and the start and stop events. By focusing on this subset we achieve a simple graph model that highlights the particular non-local features of the inclusive gateway semantics. We sketch two ways of implementing the semantics using algorithms based on incrementally updated data structures and also discuss distributed communication-based implementations of the two algorithms.

  13. Spatial Relation Predicates in Topographic Feature Semantics

    Science.gov (United States)

    Varanka, Dalia E.; Caro, Holly K.

    2013-01-01

    Topographic data are designed and widely used for base maps of diverse applications, yet the power of these information sources largely relies on the interpretive skills of map readers and relational database expert users once the data are in map or geographic information system (GIS) form. Advances in geospatial semantic technology offer data model alternatives for explicating concepts and articulating complex data queries and statements. To understand and enrich the vocabulary of topographic feature properties for semantic technology, English language spatial relation predicates were analyzed in three standard topographic feature glossaries. The analytical approach drew from disciplinary concepts in geography, linguistics, and information science. Five major classes of spatial relation predicates were identified from the analysis; representations for most of these are not widely available. The classes are: part-whole (which are commonly modeled throughout semantic and linked-data networks), geometric, processes, human intention, and spatial prepositions. These are commonly found in the ‘real world’ and support the environmental science basis for digital topographical mapping. The spatial relation concepts are based on sets of relation terms presented in this chapter, though these lists are not prescriptive or exhaustive. The results of this study make explicit the concepts forming a broad set of spatial relation expressions, which in turn form the basis for expanding the range of possible queries for topographical data analysis and mapping.

  14. The semantic representation of prejudice and stereotypes.

    Science.gov (United States)

    Bhatia, Sudeep

    2017-07-01

    We use a theory of semantic representation to study prejudice and stereotyping. Particularly, we consider large datasets of newspaper articles published in the United States, and apply latent semantic analysis (LSA), a prominent model of human semantic memory, to these datasets to learn representations for common male and female, White, African American, and Latino names. LSA performs a singular value decomposition on word distribution statistics in order to recover word vector representations, and we find that our recovered representations display the types of biases observed in human participants using tasks such as the implicit association test. Importantly, these biases are strongest for vector representations with moderate dimensionality, and weaken or disappear for representations with very high or very low dimensionality. Moderate dimensional LSA models are also the best at learning race, ethnicity, and gender-based categories, suggesting that social category knowledge, acquired through dimensionality reduction on word distribution statistics, can facilitate prejudiced and stereotyped associations. Copyright © 2017 Elsevier B.V. All rights reserved.

  15. Does semantic redundancy gain result from multiple semantic priming?

    Science.gov (United States)

    Schröter, Hannes; Bratzke, Daniel; Fiedler, Anja; Birngruber, Teresa

    2015-10-01

    Fiedler, Schröter, and Ulrich (2013) reported faster responses to a single written word when the semantic content of this word (e.g., "elephant") matched both targets (e.g., "animal", "gray") as compared to a single target (e.g., "animal", "brown"). This semantic redundancy gain was explained by statistical facilitation due to a race of independent memory retrieval processes. The present experiment addresses one alternative explanation, namely that semantic redundancy gain results from multiple pre-activation of words that match both targets. In different blocks of trials, participants performed a redundant-targets task and a lexical decision task. The targets of the redundant-targets task served as primes in the lexical decision task. Replicating the findings of Fiedler et al., a semantic redundancy gain was observed in the redundant-targets task. Crucially, however, there was no evidence of a multiple semantic priming effect in the lexical decision task. This result suggests that semantic redundancy gain cannot be explained by multiple pre-activation of words that match both targets. Copyright © 2015 Elsevier B.V. All rights reserved.

  16. Semantic dementia: Brazilian study of nineteen cases

    OpenAIRE

    Senaha,Mirna Lie Hosogi; Caramelli,Paulo; Porto,Claudia Sellitto; Nitrini,Ricardo

    2007-01-01

    Abstract The term semantic dementia was devised by Snowden et al. in 1989 and nowadays, the semantic dementia syndrome is recognized as one of the clinical forms of frontotemporal lobar degeneration (FTLD) and is characterized by a language semantic disturbance associated to non-verbal semantic memory impairment. Objectives: The aim of this study was to describe a Brazilian sample of 19 semantic dementia cases, emphasizing the clinical characteristics important for differential diagnosis of t...

  17. The unintentional and unconscious exposure to radon (and other natural radionuclides)

    International Nuclear Information System (INIS)

    Thomas, J.

    1998-01-01

    The radon programmes for dwellings (remediation of the risk and prevention of the risk) as well as radon programmes for workplaces in the Czech Republic are described. To implementation radiation protection against natural radiation sources on workplaces with unintentional and unconscious exposure to these sources of radiation is a new, but interesting and important task which need new approaches, time staff and effort

  18. Unconscious context-specific proportion congruency effect in a stroop-like task.

    Science.gov (United States)

    Panadero, A; Castellanos, M C; Tudela, P

    2015-01-01

    Cognitive control is a central topic of interest in psychology and cognitive neuroscience and has traditionally been associated with consciousness. However, recent research suggests that cognitive control may be unconscious in character. The main purpose of our study was to further explore this area of research focusing on the possibly unconscious nature of the conflict adaptation effect, specifically the context-specific proportion congruency effect (CSPCE), by using a masked Stroop-like task where the proportion of congruency was associated to various masks. We used electrophysiological measures to analyze the neural correlates of the CSPCE. Results showed evidence of an unconscious CSPCE in reaction times (RTs) and the N2 and P3 components. In addition, the P2 component evoked by both target and masks indicated that the proportion of congruency was processed earlier than the congruency between the color word and the ink color of the target. Taken together, our results provided evidence pointing to an unconscious CSPCE. Copyright © 2014 Elsevier Inc. All rights reserved.

  19. Unconscious Processes in a Career Counselling Case: An Action-Theoretical Perspective

    Science.gov (United States)

    Dyer, Brenda; Pizzorno, Maria Chiara; Qu, Kejia; Valach, Ladislav; Marshall, Sheila K.; Young, Richard A.

    2010-01-01

    Although clients and counselors can often account for their actions in counselling, sometimes the link between the action taken and the larger goal is not apparent. This article accounts for counterproductive, paradoxical actions within the counselling process by addressing unconscious processes as links between immediate actions and larger…

  20. Electrophysiological correlates of block-wise strategic adaptations to consciously and unconsciously triggered conflict

    NARCIS (Netherlands)

    Jiang, J.; van Gaal, S.; Bailey, K.; Chen, A.; Zhang, Q.

    2013-01-01

    The role of consciousness in conflict adaptation has been a topic of much debate. The purpose of the current study was to investigate the neural correlates of block-wise conflict adaptations elicited by conscious and unconscious conflicting stimuli in a meta-contrast masked priming task. Event-related

  1. Conscious and Unconscious Intent in the Creative Process: A Letter from Eugene Ionesco.

    Science.gov (United States)

    Coleman, Ingrid H.

    1981-01-01

    Introduces a letter written by Eugene Ionesco in answer to questions on the interpretation of his plays. In his letter Ionesco discusses the creative process as a blend of ideological and emotional motifs, seen, respectively, as the expression of the conscious and the unconscious (or subconscious) mind. (MES)

  2. To Enter the Text as into a Dream: Tracing the Unconscious Effects of Reading Experience

    Science.gov (United States)

    Lewkowich, David

    2016-01-01

    In this article, I suggest that, when readers speak about reading, the language they use is closely related to the modes and movements of speech employed by the dreamer recounting their dream. With reference to the psychoanalytic formulations of unconscious desire and transferential attachment, this article--with its focus on…

  3. Unconscious Odour Conditioning 25 Years Later: Revisiting and Extending "Kirk-Smith, Van Toller and Dodd"

    Science.gov (United States)

    Zucco, Gesualdo M.; Paolini, Michela; Schaal, Benoist

    2009-01-01

    The pioneering work by Kirk-Smith, Van Toller, and Dodd [Kirk-Smith, M. D., Van Toller, C., & Dodd, G. H. (1983). "Unconscious odour conditioning in human subjects." "Biological Psychology," 17, 221-231], established that an unnoticed odorant paired with an emotionally meaningful task can influence mood and attitudes when the odorant alone is…

  4. The orientation of organizations to their environments: Functions of the unconscious mind

    NARCIS (Netherlands)

    van Woerkum, C.M.J.; Aarts, M.N.C.

    2008-01-01

    This article focuses on the unconscious processes involved in dealing with the environment of organizations, a main concern of public relations. To do so, we analytically distinguish between 3 types of relationships: those based on rules, those based on profitability, and those based on values. We

  5. "A Long-Legged Fly upon the Stream": Poetry, Memory and the Unconscious

    Science.gov (United States)

    Bayley, Nicholas

    2016-01-01

    In this paper I introduce some concepts from psychoanalysis, a poem, a clinical vignette and a personal anecdote. I am asking what light the knowledge of unconscious processes can throw on the memorisation of poems and therefore what use to the individual can be derived from learning poems by heart. A version of the paper was first given at the…

  6. Davanloo's Intensive Short-Term Dynamic Psychotherapy in a tertiary psychotherapy service: overall effectiveness and association between unlocking the unconscious and outcome.

    Science.gov (United States)

    Johansson, Robert; Town, Joel M; Abbass, Allan

    2014-01-01

    Background. Intensive Short-Term Dynamic Psychotherapy (ISTDP), as developed by Habib Davanloo, is an intensive emotion-focused psychodynamic therapy with an explicit focus on handling resistance in treatment. A core assumption in ISTDP is that psychotherapeutic effects are dependent on in-session emotional processing in the form of rise in complex transference feelings that occurs when treatment resistance is challenged. Recent research indicates that an unlocking of the unconscious, a powerful emotional breakthrough achieved at a high rise in complex transference feelings, can potentially enhance ISTDP's effectiveness. While ISTDP has a growing evidence base, most of the research conducted has used small samples and has tested therapy delivered by expert therapists. The aims of this study were to evaluate the overall effectiveness of ISTDP when delivered in a tertiary psychotherapy service, and to investigate if having an unlocking of the unconscious during therapy predicted enhanced treatment effectiveness. Methods. A total of 412 patients were included in the analyses. The average length of treatment was 10.2 sessions (SD 13.3). Multilevel growth curve modeling was used to evaluate treatment effectiveness and the association between unlocking the unconscious and outcome. A number of control predictors including type of treatment resistance were selected and included in the analyses. Outcome measures were the Brief Symptom Inventory (BSI) and the Inventory of Interpersonal Problems (IIP). About half of the patients in the study were treated by therapists in training and the other half by more experienced therapists. Results. Growth curve analyses using the full intention-to-treat sample revealed significant within-group effects of ISTDP on both the BSI and the IIP. Effect sizes were large (>0.80). Unlocking the unconscious during therapy was associated with significantly larger treatment outcome. The relationship was further moderated by type of treatment

  7. Davanloo’s Intensive Short-Term Dynamic Psychotherapy in a tertiary psychotherapy service: overall effectiveness and association between unlocking the unconscious and outcome

    Science.gov (United States)

    Town, Joel M.; Abbass, Allan

    2014-01-01

    Background. Intensive Short-Term Dynamic Psychotherapy (ISTDP), as developed by Habib Davanloo, is an intensive emotion-focused psychodynamic therapy with an explicit focus on handling resistance in treatment. A core assumption in ISTDP is that psychotherapeutic effects are dependent on in-session emotional processing in the form of rise in complex transference feelings that occurs when treatment resistance is challenged. Recent research indicates that an unlocking of the unconscious, a powerful emotional breakthrough achieved at a high rise in complex transference feelings, can potentially enhance ISTDP’s effectiveness. While ISTDP has a growing evidence base, most of the research conducted has used small samples and has tested therapy delivered by expert therapists. The aims of this study were to evaluate the overall effectiveness of ISTDP when delivered in a tertiary psychotherapy service, and to investigate if having an unlocking of the unconscious during therapy predicted enhanced treatment effectiveness. Methods. A total of 412 patients were included in the analyses. The average length of treatment was 10.2 sessions (SD 13.3). Multilevel growth curve modeling was used to evaluate treatment effectiveness and the association between unlocking the unconscious and outcome. A number of control predictors including type of treatment resistance were selected and included in the analyses. Outcome measures were the Brief Symptom Inventory (BSI) and the Inventory of Interpersonal Problems (IIP). About half of the patients in the study were treated by therapists in training and the other half by more experienced therapists. Results. Growth curve analyses using the full intention-to-treat sample revealed significant within-group effects of ISTDP on both the BSI and the IIP. Effect sizes were large (>0.80). Unlocking the unconscious during therapy was associated with significantly larger treatment outcome. The relationship was further moderated by type of treatment

  8. Davanloo’s Intensive Short-Term Dynamic Psychotherapy in a tertiary psychotherapy service: overall effectiveness and association between unlocking the unconscious and outcome

    Directory of Open Access Journals (Sweden)

    Robert Johansson

    2014-08-01

    Full Text Available Background. Intensive Short-Term Dynamic Psychotherapy (ISTDP, as developed by Habib Davanloo, is an intensive emotion-focused psychodynamic therapy with an explicit focus on handling resistance in treatment. A core assumption in ISTDP is that psychotherapeutic effects are dependent on in-session emotional processing in the form of rise in complex transference feelings that occurs when treatment resistance is challenged. Recent research indicates that an unlocking of the unconscious, a powerful emotional breakthrough achieved at a high rise in complex transference feelings, can potentially enhance ISTDP’s effectiveness. While ISTDP has a growing evidence base, most of the research conducted has used small samples and has tested therapy delivered by expert therapists. The aims of this study were to evaluate the overall effectiveness of ISTDP when delivered in a tertiary psychotherapy service, and to investigate if having an unlocking of the unconscious during therapy predicted enhanced treatment effectiveness.Methods. A total of 412 patients were included in the analyses. The average length of treatment was 10.2 sessions (SD 13.3. Multilevel growth curve modeling was used to evaluate treatment effectiveness and the association between unlocking the unconscious and outcome. A number of control predictors including type of treatment resistance were selected and included in the analyses. Outcome measures were the Brief Symptom Inventory (BSI and the Inventory of Interpersonal Problems (IIP. About half of the patients in the study were treated by therapists in training and the other half by more experienced therapists.Results. Growth curve analyses using the full intention-to-treat sample revealed significant within-group effects of ISTDP on both the BSI and the IIP. Effect sizes were large (>0.80. Unlocking the unconscious during therapy was associated with significantly larger treatment outcome. The relationship was further moderated by type of

  9. A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains.

    Science.gov (United States)

    Sinaci, A Anil; Laleci Erturkmen, Gokce B

    2013-10-01

    In order to enable secondary use of Electronic Health Records (EHRs) by bridging the interoperability gap between clinical care and research domains, in this paper, a unified methodology and the supporting framework is introduced which brings together the power of metadata registries (MDR) and semantic web technologies. We introduce a federated semantic metadata registry framework by extending the ISO/IEC 11179 standard, and enable integration of data element registries through Linked Open Data (LOD) principles where each Common Data Element (CDE) can be uniquely referenced, queried and processed to enable the syntactic and semantic interoperability. Each CDE and their components are maintained as LOD resources enabling semantic links with other CDEs, terminology systems and with implementation dependent content models; hence facilitating semantic search, much effective reuse and semantic interoperability across different application domains. There are several important efforts addressing the semantic interoperability in healthcare domain such as IHE DEX profile proposal, CDISC SHARE and CDISC2RDF. Our architecture complements these by providing a framework to interlink existing data element registries and repositories for multiplying their potential for semantic interoperability to a greater extent. Open source implementation of the federated semantic MDR framework presented in this paper is the core of the semantic interoperability layer of the SALUS project which enables the execution of the post marketing safety analysis studies on top of existing EHR systems. Copyright © 2013 Elsevier Inc. All rights reserved.

  10. Semantic Knowledge Representation (SKR) API

    Data.gov (United States)

    U.S. Department of Health & Human Services — The SKR Project was initiated at NLM in order to develop programs to provide usable semantic representation of biomedical free text by building on resources...

  11. Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings

    OpenAIRE

    Grand, Gabriel; Blank, Idan Asher; Pereira, Francisco; Fedorenko, Evelina

    2018-01-01

    The words of a language reflect the structure of the human mind, allowing us to transmit thoughts between individuals. However, language can represent only a subset of our rich and detailed cognitive architecture. Here, we ask what kinds of common knowledge (semantic memory) are captured by word meanings (lexical semantics). We examine a prominent computational model that represents words as vectors in a multidimensional space, such that proximity between word-vectors approximates semantic re...

  12. Efficient computation of argumentation semantics

    CERN Document Server

    Liao, Beishui

    2013-01-01

    Efficient Computation of Argumentation Semantics addresses argumentation semantics and systems, introducing readers to cutting-edge decomposition methods that drive increasingly efficient logic computation in AI and intelligent systems. Such complex and distributed systems are increasingly used in the automation and transportation systems field, and particularly autonomous systems, as well as more generic intelligent computation research. The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligen

  13. Semantic Similarity in Biomedical Ontologies

    OpenAIRE

    Pesquita, Catia; Faria, Daniel; Falc?o, Andr? O.; Lord, Phillip; Couto, Francisco M.

    2009-01-01

    In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations. This type of comparison is called semantic similarity, since it assesses the degree of relatedness between two entities by the similarity in meaning of their annotations. The application of semantic similarity to biomedical ontologies is recent; nevertheless, several studies hav...

  14. Dynamic composition of semantic pathways for medical computational problem solving by means of semantic rules.

    Science.gov (United States)

    Bratsas, Charalampos; Bamidis, Panagiotis; Kehagias, Dionisis D; Kaimakamis, Evangelos; Maglaveras, Nicos

    2011-03-01

    This paper presents a semantic rule-based system for the composition of successful algorithmic pathways capable of solving medical computational problems (MCPs). A subset of medical algorithms referring to MCP solving concerns well-known medical problems and their computational algorithmic solutions. These solutions result from computations within mathematical models aiming to enhance healthcare quality via support for diagnosis and treatment automation, especially useful for educational purposes. Currently, there is a plethora of computational algorithms on the web, which pertain to MCPs and provide all computational facilities required to solve a medical problem. An inherent requirement for the successful construction of algorithmic pathways for managing real medical cases is the composition of a sequence of computational algorithms. The aim of this paper is to approach the composition of such pathways via the design of appropriate finite-state machines (FSMs), the use of ontologies, and SWRL semantic rules. The goal of semantic rules is to automatically associate different algorithms that are represented as different states of the FSM in order to result in a successful pathway. The rule-based approach is herein implemented on top of Knowledge-Based System for Intelligent Computational Search in Medicine (KnowBaSICS-M), an ontology-based system for MCP semantic management. Preliminary results have shown that the proposed system adequately produces algorithmic pathways in agreement with current international medical guidelines.

  15. Enhancing clinical concept extraction with distributional semantics

    Science.gov (United States)

    Cohen, Trevor; Wu, Stephen; Gonzalez, Graciela

    2011-01-01

    Extracting concepts (such as drugs, symptoms, and diagnoses) from clinical narratives constitutes a basic enabling technology to unlock the knowledge within and support more advanced reasoning applications such as diagnosis explanation, disease progression modeling, and intelligent analysis of the effectiveness of treatment. The recent release of annotated training sets of de-identified clinical narratives has contributed to the development and refinement of concept extraction methods. However, as the annotation process is labor-intensive, training data are necessarily limited in the concepts and concept patterns covered, which impacts the performance of supervised machine learning applications trained with these data. This paper proposes an approach to minimize this limitation by combining supervised machine learning with empirical learning of semantic relatedness from the distribution of the relevant words in additional unannotated text. The approach uses a sequential discriminative classifier (Conditional Random Fields) to extract the mentions of medical problems, treatments and tests from clinical narratives. It takes advantage of all Medline abstracts indexed as being of the publication type “clinical trials” to estimate the relatedness between words in the i2b2/VA training and testing corpora. In addition to the traditional features such as dictionary matching, pattern matching and part-of-speech tags, we also used as a feature words that appear in similar contexts to the word in question (that is, words that have a similar vector representation measured with the commonly used cosine metric, where vector representations are derived using methods of distributional semantics). To the best of our knowledge, this is the first effort exploring the use of distributional semantics, the semantics derived empirically from unannotated text often using vector space models, for a sequence classification task such as concept extraction. Therefore, we first

  16. COTARD SYNDROME IN SEMANTIC DEMENTIA

    Science.gov (United States)

    Mendez, Mario F.; Ramírez-Bermúdez, Jesús

    2011-01-01

    Background Semantic dementia is a neurodegenerative disorder characterized by the loss of meaning of words or concepts. semantic dementia can offer potential insights into the mechanisms of content-specific delusions. Objective The authors present a rare case of semantic dementia with Cotard syndrome, a delusion characterized by nihilism or self-negation. Method The semantic deficits and other features of semantic dementia were evaluated in relation to the patient's Cotard syndrome. Results Mrs. A developed the delusional belief that she was wasting and dying. This occurred after she lost knowledge for her somatic discomforts and sensations and for the organs that were the source of these sensations. Her nihilistic beliefs appeared to emerge from her misunderstanding of her somatic sensations. Conclusion This unique patient suggests that a mechanism for Cotard syndrome is difficulty interpreting the nature and source of internal pains and sensations. We propose that loss of semantic knowledge about one's own body may lead to the delusion of nihilism or death. PMID:22054629

  17. Unconsciously perceived fear in peripheral vision alerts the limbic system: a MEG study.

    Directory of Open Access Journals (Sweden)

    Dimitri J Bayle

    Full Text Available BACKGROUND: In ecological situations, threatening stimuli often come out from the peripheral vision. Such aggressive messages must trigger rapid attention to the periphery to allow a fast and adapted motor reaction. Several clues converge to hypothesize that peripheral danger presentation can trigger off a fast arousal network potentially independent of the consciousness spot. METHODOLOGY/PRINCIPAL FINDINGS: In the present MEG study, spatio-temporal dynamics of the neural processing of danger related stimuli were explored as a function of the stimuli position in the visual field. Fearful and neutral faces were briefly presented in the central or peripheral visual field, and were followed by target faces stimuli. An event-related beamformer source analysis model was applied in three time windows following the first face presentations: 80 to 130 ms, 140 to 190 ms, and 210 to 260 ms. The frontal lobe and the right internal temporal lobe part, including the amygdala, reacted as soon as 80 ms of latency to fear occurring in the peripheral vision. For central presentation, fearful faces evoked the classical neuronal activity along the occipito-temporal visual pathway between 140 and 190 ms. CONCLUSIONS: Thus, the high spatio-temporal resolution of MEG allowed disclosing a fast response of a network involving medial temporal and frontal structures in the processing of fear related stimuli occurring unconsciously in the peripheral visual field. Whereas centrally presented stimuli are precisely processed by the ventral occipito-temporal cortex, the related-to-danger stimuli appearing in the peripheral visual field are more efficient to produce a fast automatic alert response possibly conveyed by subcortical structures.

  18. Denotational semantics of recursive types in synthetic guarded domain theory

    DEFF Research Database (Denmark)

    Møgelberg, Rasmus Ejlers; Paviotti, Marco

    2016-01-01

    -determinism and concurrency. Guarded recursion also offers a way of adding recursion to type theory while maintaining logical consistency. In previous work we initiated a programme of denotational semantics in type theory using guarded recursion, by constructing a computationally adequate model of the language PCF (simply...... typed lambda calculus with fixed points). This model was intensional in that it could distinguish between computations computing the same result using a different number of fixed point unfoldings. In this work we show how also programming languages with recursive types can be given denotational...... semantics in type theory with guarded recursion. More precisely, we give a computationally adequate denotational semantics to the language FPC (simply typed lambda calculus extended with recursive types), modelling recursive types using guarded recursive types. The model is intensional in the same way...

  19. TOPOLOGICAL SEMANTICS: FOUNDATIONS OF THE DESCRIPTION OF THE SPATIAL DISTRIBUTION OF PROPOSITIONAL SIGNS

    Directory of Open Access Journals (Sweden)

    Khalina, N.V.

    2017-12-01

    Full Text Available The questions of the topological semantics of natural language are discussed in the article/ The need to study the topological semantics is due to the change of the quality of the human environment and change the status of the language. Language in digital society is matched with technology. The basic concept of the topological semantics of natural language is recognized, according to the L. Wittgenstein’ philosophy on the sentence as a propositional sign, modeling and representing the world of facts. Logical basis of the topological semantics is derived from epistemic logic, in which the source concept relies on the notion of frame, motivating the emergence of the topological concept of ‘the scene’. Analyzes the concept of topological semantics developed by different authors and based on an understanding of language as a technology. With its origins in topological semantics is being built to a spatial semiotics, founded by Y. M. Lotman.

  20. Formal semantics for propositional attitudes

    Directory of Open Access Journals (Sweden)

    Daniel Vanderveken

    2011-06-01

    Full Text Available Contemporary logic is confined to a few paradigmatic attitudes such as belief, knowledge, desire and intention. My purpose is to present a general model-theoretical semantics of propositional attitudes of any cognitive or volitive mode. In my view, one can recursively define the set of all psychological modes of attitudes. As Descartes anticipated, the two primitive modes are those of belief and desire. Complex modes are obtained by adding to primitive modes special cognitive and volitive ways or special propositional content or preparatory conditions. According to standard logic of attitudes (Hintikka, human agents are either perfectly rational or totally irrational. I will proceed to a finer analysis of propositional attitudes that accounts for our imperfect but minimal rationality. For that purpose I will use a non standard predicative logic according to which propositions with the same truth conditions can have different cognitive values and I will explicate subjective in addition to objective possibilities. Next I will enumerate valid laws of my general logic of propositional attitudes. At the end I will state principles according to which minimally rational agents dynamically revise attitudes of any mode.