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Sample records for features dominate semantic

  1. SRBIR: Semantic Region Based Image Retrieval by Extracting the Dominant Region and Semantic Learning

    Directory of Open Access Journals (Sweden)

    I. F. Rajam

    2011-01-01

    Full Text Available Problem statement: The Semantic Region Based Image Retrieval (SRBIR system that automatically segments the dominant foreground region, consisting of the semantic concept of the image, such as elephants, roses and does the semantic learning, is proposed. Approach: The system segments an image into different regions and finds the dominant foreground region in it, which is the semantic concept of that image. Then it extracts the low-level features of that dominant foreground region. The Support Vector Machine-Binary Decision Tree (SVM-BDT is used for semantic learning and it finds the semantic category of an image. The low level features of the dominant region of each category image are used to find the semantic template of that category. The SVM-BDT is constructed with the help of these semantic templates. The high level concept of the query image is obtained using this SVM-BDT. Similarity matching is done between the query image and the set of images belonging to the semantic category of the query image and the top images with least distances are retrieved. Results: Experiments were conducted using the COREL dataset consisting of 10,000 images and its subset with 1000 images of 10 different semantic categories. The obtained results demonstrate the effectiveness of the proposed framework, compared to those of the commonly used region based image retrieval approaches. Conclusion: Efficient image searching, browsing and retrieval are required by users from various domains, such as medicine, fashion, architecture, training and teaching. The proposed SRBIR system aims at retrieving images based on their semantic content by extracting the dominant foreground region in the image and learning its semantic concept with the help of the SVM-BDT. The proposed SRBIR system provides an efficient image search based on semantics, with high accuracy and less access time.

  2. A Collection of Features for Semantic Graphs

    Energy Technology Data Exchange (ETDEWEB)

    Eliassi-Rad, T; Fodor, I K; Gallagher, B

    2007-05-02

    Semantic graphs are commonly used to represent data from one or more data sources. Such graphs extend traditional graphs by imposing types on both nodes and links. This type information defines permissible links among specified nodes and can be represented as a graph commonly referred to as an ontology or schema graph. Figure 1 depicts an ontology graph for data from National Association of Securities Dealers. Each node type and link type may also have a list of attributes. To capture the increased complexity of semantic graphs, concepts derived for standard graphs have to be extended. This document explains briefly features commonly used to characterize graphs, and their extensions to semantic graphs. This document is divided into two sections. Section 2 contains the feature descriptions for static graphs. Section 3 extends the features for semantic graphs that vary over time.

  3. Spatial Relation Predicates in Topographic Feature Semantics

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    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.

  4. Paraphrase Identification using Semantic Heuristic Features

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    Zia Ul-Qayyum

    2012-11-01

    Full Text Available Paraphrase Identification (PI problem is to classify that whether or not two sentences are close enough in meaning to be termed as paraphrases. PI is an important research dimension with practical applications in Information Extraction (IE, Machine Translation, Information Retrieval, Automatic Identification of Copyright Infringement, Question Answering Systems and Intelligent Tutoring Systems, to name a few. This study presents a novel approach of paraphrase identification using semantic heuristic features envisaging improving the accuracy compared to state-of-the-art PI systems. Finally, a comprehensive critical analysis of misclassifications is carried out to provide insightful evidence about the proposed approach and the corpora used in the experiments.

  5. Semantic Features for Classifying Referring Search Terms

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    May, Chandler J.; Henry, Michael J.; McGrath, Liam R.; Bell, Eric B.; Marshall, Eric J.; Gregory, Michelle L.

    2012-05-11

    When an internet user clicks on a result in a search engine, a request is submitted to the destination web server that includes a referrer field containing the search terms given by the user. Using this information, website owners can analyze the search terms leading to their websites to better understand their visitors needs. This work explores some of the features that can be used for classification-based analysis of such referring search terms. We present initial results for the example task of classifying HTTP requests countries of origin. A system that can accurately predict the country of origin from query text may be a valuable complement to IP lookup methods which are susceptible to the obfuscation of dereferrers or proxies. We suggest that the addition of semantic features improves classifier performance in this example application. We begin by looking at related work and presenting our approach. After describing initial experiments and results, we discuss paths forward for this work.

  6. SELF-ORGANIZED SEMANTIC FEATURE EVOLUTION FOR AXIOMATIC DESIGN

    Institute of Scientific and Technical Information of China (English)

    HAO He; FENG Yixiong; TAN Jianrong; XUE Yang

    2008-01-01

    Aiming at the problem existing in the computer aided design process that how to express the design intents with high-level engineering terminologies, a mechanical product self-organized semantic feature evolution technology for axiomatic design is proposed, so that the constraint relations between mechanical parts could be expressed in a semantic form which is more suitable for designers. By describing the evolution rules for semantic constraint information, the abstract expression of design semantics in mechanical product evolution process is realized and the constraint relations between parts are mapped to the geometric level from the semantic level; With semantic feature relation graph, the abstract semantic description, the semantic relative structure and the semantic constraint information are linked together; And the methods of semantic feature self-organized evolution are classified. Finally, combining a design example of domestic high-speed elevator, how to apply the theory to practical product development is illustrated and this method and its validity is described and verified. According to the study results, the designers are able to represent the design intents at an advanced semantic level in a more intuitional and natural way and the automation, recursion and visualization for mechanical product axiomatic design are also realized.

  7. Selective Audiovisual Semantic Integration Enabled by Feature-Selective Attention.

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    Li, Yuanqing; Long, Jinyi; Huang, Biao; Yu, Tianyou; Wu, Wei; Li, Peijun; Fang, Fang; Sun, Pei

    2016-01-13

    An audiovisual object may contain multiple semantic features, such as the gender and emotional features of the speaker. Feature-selective attention and audiovisual semantic integration are two brain functions involved in the recognition of audiovisual objects. Humans often selectively attend to one or several features while ignoring the other features of an audiovisual object. Meanwhile, the human brain integrates semantic information from the visual and auditory modalities. However, how these two brain functions correlate with each other remains to be elucidated. In this functional magnetic resonance imaging (fMRI) study, we explored the neural mechanism by which feature-selective attention modulates audiovisual semantic integration. During the fMRI experiment, the subjects were presented with visual-only, auditory-only, or audiovisual dynamical facial stimuli and performed several feature-selective attention tasks. Our results revealed that a distribution of areas, including heteromodal areas and brain areas encoding attended features, may be involved in audiovisual semantic integration. Through feature-selective attention, the human brain may selectively integrate audiovisual semantic information from attended features by enhancing functional connectivity and thus regulating information flows from heteromodal areas to brain areas encoding the attended features.

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

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

    2012-01-01

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

  9. Arabic web pages clustering and annotation using semantic class features

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    Hanan M. Alghamdi

    2014-12-01

    Full Text Available To effectively manage the great amount of data on Arabic web pages and to enable the classification of relevant information are very important research problems. Studies on sentiment text mining have been very limited in the Arabic language because they need to involve deep semantic processing. Therefore, in this paper, we aim to retrieve machine-understandable data with the help of a Web content mining technique to detect covert knowledge within these data. We propose an approach to achieve clustering with semantic similarities. This approach comprises integrating k-means document clustering with semantic feature extraction and document vectorization to group Arabic web pages according to semantic similarities and then show the semantic annotation. The document vectorization helps to transform text documents into a semantic class probability distribution or semantic class density. To reach semantic similarities, the approach extracts the semantic class features and integrates them into the similarity weighting schema. The quality of the clustering result has evaluated the use of the purity and the mean intra-cluster distance (MICD evaluation measures. We have evaluated the proposed approach on a set of common Arabic news web pages. We have acquired favorable clustering results that are effective in minimizing the MICD, expanding the purity and lowering the runtime.

  10. Similarity Calculation Method of Chinese Short Text Based on Semantic Feature Space

    OpenAIRE

    Liqiang Pan; Pu Zhang; Anping Xiong

    2015-01-01

    In order to improve the accuracy of short text similarity calculation, this paper presents the idea that use the history of short text messages to construct semantic feature space, then use the vector in semantic feature space to represent short text and do semantic extension, and finally calculate the short text similarity of corresponding vector in the semantic feature space. This method can represent the semantic information of short text message thoroughly so as to improve the accuracy of...

  11. TOWARD SEMANTIC WEB INFRASTRUCTURE FOR SPATIAL FEATURES' INFORMATION

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    R. Arabsheibani

    2015-12-01

    Full Text Available The Web and its capabilities can be employed as a tool for data and information integration if comprehensive datasets and appropriate technologies and standards enable the web with interpretation and easy alignment of data and information. Semantic Web along with the spatial functionalities enable the web to deal with the huge amount of data and information. The present study investigate the advantages and limitations of the Spatial Semantic Web and compare its capabilities with relational models in order to build a spatial data infrastructure. An architecture is proposed and a set of criteria is defined for the efficiency evaluation. The result demonstrate that when using the data with special characteristics such as schema dynamicity, sparse data or available relations between the features, the spatial semantic web and graph databases with spatial operations are preferable.

  12. Integrating Semantic Features for Enhancing Arabic Named Entity Recognition

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    Hamzah A. Alsayadi

    2016-03-01

    Full Text Available Named Entity Recognition (NER is currently an essential research area that supports many tasks in NLP. Its goal is to find a solution to boost accurately the named entities identification. This paper presents an integrated semantic-based Machine learning (ML model for Arabic Named Entity Recognition (ANER problem. The basic idea of that model is to combine several linguistic features and to utilize syntactic dependencies to infer semantic relations between named entities. The proposed model focused on recognizing three types of named entities: person, organization and location. Accordingly, it combines internal features that represented linguistic features as well as external features that represent the semantic of relations between the three named entities to enhance the accuracy of recognizing them using external knowledge source such as Arabic WordNet ontology (ANW. We introduced both features to CRF classifier, which are effective for ANER. Experimental results show that this approach can achieve an overall F-measure around 87.86% and 84.72% for ANERCorp and ALTEC datasets respectively.

  13. Semantic Richness and Aging: The Effect of Number of Features in the Lexical Decision Task

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    Robert, Christelle; Rico Duarte, Liliana

    2016-01-01

    The aim of this study was to examine whether the effect of semantic richness in visual word recognition (i.e., words with a rich semantic representation are faster to recognize than words with a poorer semantic representation), is changed with aging. Semantic richness was investigated by manipulating the number of features of words (NOF), i.e.,…

  14. Semantic Feature Based Arabic Opinion Mining Using Ontology

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    Abdullah M. Alkadri

    2016-05-01

    Full Text Available with the increase of opinionated reviews on the web, automatically analyzing and extracting knowledge from those reviews is very important. However, it is a challenging task to be done manually. Opinion mining is a text mining discipline that automatically performs such a task. Most researches done in this field were focused on English texts with very limited researches on Arabic language. This scarcity is because there are a lot of obstacles in Arabic. The aim of this paper is to develop a novel semantic feature-based opinion mining framework for Arabic reviews. This framework utilizes the semantic of ontologies and lexicons in the identification of opinion features and their polarity. Experiments showed that the proposed framework achieved a good level of performance compared with manually collected test data.

  15. Semantic Web Improved with the Weighted IDF Feature

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    Mrs. Jyoti Gautam

    2015-02-01

    Full Text Available The development of search engines is taking at a very fast rate. A lot of algorithms have been tried and tested. But, still the people are not getting precise results. Social networking sites are developing at tremendous rate and their growth has given birth to the new interesting problems. The social networking sites use semantic data to enhance the results. This provides us with a new perspective on how to improve the quality of information retrieval. As we are aware, many techniques of text classification are based on TFIDF algorithm. Term weighting has a significant role in classifying a text document. In this paper, firstly, we are extending the queries by “keyword+tags” instead of keywords only. In addition to this, secondly, we have developed a new ranking algorithm (JEKS algorithm based on semantic tags from user feedback that uses CiteUlike data. The algorithm enhances the already existing semantic web by using the weighted IDF feature of the TFIDF algorithm. The suggested algorithm provides a better ranking than Google and can be viewed as a semantic web service in the domain of academics.

  16. Emotions and language about motion: Differentiating affective dominance with syntax from valence with semantics.

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    Freddi, Sébastien; Esteban, José; Dru, Vincent

    2015-12-15

    Motion as encoded in linguistic cues is used to differentiate affective valence and dominance. Participants were invited to rate their affective responses to different words along valence and dominance scales. The words were nouns describing static cues and verbs describing motion, connected to DOWN/UP and Avoidance/Approach cues. The results of three studies showed that valence and dominance could be differentiated through syntax and semantics of motion. On one hand, dominance feelings, compared to valence ones, are particularly influenced by motion encoded in syntactic classes (verbs vs. nouns). On the other hand, valence feelings, compared to dominance ones, are influenced by a semantics of motion through DOWN/UP and Avoidance/Approach cues, considered as polarities. A polarity correspondence effect is proposed to explain these results.

  17. Semantic Multisense Features and Translation of English Preposition OF

    Institute of Scientific and Technical Information of China (English)

    张招霞

    2009-01-01

    The linguist often claims,"English is a language of the preposition".It is a difficult point to understand and translate it though the preposition is simple in form.The preposition OF is such a simple preposition.On the surface,it seems very simple,indeed insufficient for talk,to OF which belongs to the simple preposition and prepositional phrases formed by it,but there are many kinds of its usages.This article help readers further understanding of semantic multisense features and translation of English prepositions and offer a kind of research for the fact that the English-Chinese machine translation system choose for its model.

  18. A New Method of Semantic Feature Extraction for Medical Images Data

    Institute of Scientific and Technical Information of China (English)

    XIE Conghua; SONG Yuqing; CHANG Jinyi

    2006-01-01

    In order to overcome the disadvantages of color, shape and texture-based features definition for medical images, this paper defines a new kind of semantic feature and its extraction algorithm. We firstly use kernel density estimation statistical model to describe the complicated medical image data, secondly, define some typical representative pixels of images as feature and finally, take hill-climbing strategy of Artificial Intelligence to extract those semantic features. Results of a content-based medial image retrieve system show that our semantic features have better distinguishing ability than those color, shape and texture-based features and can improve the ratios of recall and precision of this system smartly.

  19. A PCA Based Automatic Image Categorization Approach Using Dominant Color Features

    Institute of Scientific and Technical Information of China (English)

    WUChunming; QIANHui; WANGDonghui

    2005-01-01

    Automatic Image categorization is a universal problem in area of Content-based image retrieval (CBIR). The goal of automatic image categorization is to find a mapping between images and the predefined image categories. The difficulty of this problem is that how to describe image content and incorporate low-level features into semantic categories. As a solution, we propose a Principal component analysis (PCA) based approach. This approach assumes that the images in the same semantic category have the similar spatial distribution of color components and treats the images in the same category as a linear combination of a fixed set of dominant color blocks with special textural information. A three-step algorithm is designed: (1) extracting Dominant colors (DC) of images, which describe the major color information in an image; (2) Establishing a feature space based on DC blocks and its textural information; (3) using PCA to reduce dimensionality of feature space and using the basis vectors to categorize images. An experimental database containing nine categories including cars, flowers, houses, portraits, fish, bark, sunshine, leaves and fresco is constructed to test the algorithm based on our image categorization approach. The results show that this approach is effective and a reasonable compromise between accuracy and speed in practice.

  20. Landscape features, standards, and semantics in U.S. national topographic mapping databases

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    Varanka, Dalia

    2009-01-01

    The objective of this paper is to examine the contrast between local, field-surveyed topographical representation and feature representation in digital, centralized databases and to clarify their ontological implications. The semantics of these two approaches are contrasted by examining the categorization of features by subject domains inherent to national topographic mapping. When comparing five USGS topographic mapping domain and feature lists, results indicate that multiple semantic meanings and ontology rules were applied to the initial digital database, but were lost as databases became more centralized at national scales, and common semantics were replaced by technological terms.

  1. Autosomal dominant partial epilepsy with auditory features: Defining the phenotype

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    Winawer, Melodie R.; Hauser, W. Allen; Pedley, Timothy A.

    2009-01-01

    The authors previously reported linkage to chromosome 10q22-24 for autosomal dominant partial epilepsy with auditory features. This study describes seizure semiology in the original linkage family in further detail. Auditory hallucinations were most common, but other sensory symptoms (visual, olfactory, vertiginous, and cephalic) were also reported. Autonomic, psychic, and motor symptoms were less common. The clinical semiology points to a lateral temporal seizure origin. Auditory hallucinations, the most striking clinical feature, are useful for identifying new families with this synome. PMID:10851389

  2. STRUCTURAL AND SEMANTIC FEATURES OF ONLINE INFORMATION RESOURCES

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    Ivan Georgievich Zubkov

    2014-07-01

    Full Text Available Information society is a global economic, political, technological and antroposocial project involving controlled civilizational transition to the world social system in which the dominant role in all spheres of life will play a mass communication system, implemented with the help of computer technology, particularly Internet technology. The question of formation and presentation of information is highly relevant today. The world community has entered a transitional stage from its post-industrial state to the informational. At this stage of the development, society is increasingly dependent on the quality, availability, reliability, timeliness of information, which is created by its own representatives. Especially clearly it is evident in the Internet space, where all information flows merge into a single closed and continuously update system that has its own characteristics, features and qualities.DOI: http://dx.doi.org/10.12731/2218-7405-2014-4-7

  3. Dominant Local Binary Pattern Based Face Feature Selection and Detection

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    Kavitha.T

    2010-04-01

    Full Text Available Face Detection plays a major role in Biometrics.Feature selection is a problem of formidable complexity. Thispaper proposes a novel approach to extract face features forface detection. The LBP features can be extracted faster in asingle scan through the raw image and lie in a lower dimensional space, whilst still retaining facial information efficiently. The LBP features are robust to low-resolution images. The dominant local binary pattern (DLBP is used to extract features accurately. A number of trainable methods are emerging in the empirical practice due to their effectiveness. The proposed method is a trainable system for selecting face features from over-completes dictionaries of imagemeasurements. After the feature selection procedure is completed the SVM classifier is used for face detection. The main advantage of this proposal is that it is trained on a very small training set. The classifier is used to increase the selection accuracy. This is not only advantageous to facilitate the datagathering stage, but, more importantly, to limit the training time. CBCL frontal faces dataset is used for training and validation.

  4. Semantic Feature Verification: Adults with Stroke-Aphasia and Neurologically-Healthy Adults

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    Sharon M. Antonucci

    2015-05-01

    Evidence suggests that as compared with NHA, PWA were best able to recognize the relationship between concept and feature when provided with the most distinguishing feature type for that concept type. Feature types less salient for a concepts’ identification proved more difficult for PWA to interpret, informing our understanding of lexical-semantic disruption in PWA and the, potentially, the remediation thereof.

  5. Reliability in content analysis: The case of semantic feature norms classification.

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    Bolognesi, Marianna; Pilgram, Roosmaryn; van den Heerik, Romy

    2016-12-30

    Semantic feature norms (e.g., STIMULUS: car → RESPONSE: ) are commonly used in cognitive psychology to look into salient aspects of given concepts. Semantic features are typically collected in experimental settings and then manually annotated by the researchers into feature types (e.g., perceptual features, taxonomic features, etc.) by means of content analyses-that is, by using taxonomies of feature types and having independent coders perform the annotation task. However, the ways in which such content analyses are typically performed and reported are not consistent across the literature. This constitutes a serious methodological problem that might undermine the theoretical claims based on such annotations. In this study, we first offer a review of some of the released datasets of annotated semantic feature norms and the related taxonomies used for content analysis. We then provide theoretical and methodological insights in relation to the content analysis methodology. Finally, we apply content analysis to a new dataset of semantic features and show how the method should be applied in order to deliver reliable annotations and replicable coding schemes. We tackle the following issues: (1) taxonomy structure, (2) the description of categories, (3) coder training, and (4) sustainability of the coding scheme-that is, comparison of the annotations provided by trained versus novice coders. The outcomes of the project are threefold: We provide methodological guidelines for semantic feature classification; we provide a revised and adapted taxonomy that can (arguably) be applied to both concrete and abstract concepts; and we provide a dataset of annotated semantic feature norms.

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

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    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.

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

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    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. Contextual Query Perfection by Affective Features Based Implicit Contextual Semantic Relevance Feedback in Multimedia Information Retrieval

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    Anil K. Tripathi

    2012-09-01

    Full Text Available Multimedia Information may have multiple semantics depending on context, a temporal interest and user preferences. Hence we are exploiting the plausibility of context associated with semantic concept in retrieving relevance information. We are proposing an Affective Feature Based Implicit Contextual Semantic Relevance Feedback (AICSRF to investigate whether audio and speech along with visual could determine the current context in which user wants to retrieve the information and to further investigate whether we could employ Affective Feedback as an implicit source of evidence in CSRF cycle to increase the systems contextual semantic understanding. We introduce an Emotion Recognition Unit (ERU that comprises of spatiotemporal Gabor filter to capture spontaneous facial expression and emotional word recognition system that uses phonemes to recognize the spoken emotional words. We propose Contextual Query Perfection Scheme (CQPS to learn, refine the current context that could be used in query perfection in RF cycle to understand the semantic of query on the basis of relevance judgment taken by ERU. Observations suggest that CQPS in AICSRF incorporating such affective features reduce the search space hence retrieval time and increase the systems contextual semantic understanding.

  9. Combining Semantic and Acoustic Features for Valence and Arousal Recognition in Speech

    DEFF Research Database (Denmark)

    Karadogan, Seliz; Larsen, Jan

    2012-01-01

    The recognition of affect in speech has attracted a lot of interest recently; especially in the area of cognitive and computer sciences. Most of the previous studies focused on the recognition of basic emotions (such as happiness, sadness and anger) using categorical approach. Recently, the focus...... has been shifting towards dimensional affect recognition based on the idea that emotional states are not independent from one another but related in a systematic manner. In this paper, we design a continuous dimensional speech affect recognition model that combines acoustic and semantic features. We...... show that combining semantic and acoustic information for dimensional speech recognition improves the results. Moreover, we show that valence is better estimated using semantic features while arousal is better estimated using acoustic features....

  10. The Role of Feature Sharedness in the Hierarchical Organization of Semantic Knowledge

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    J. Frederico Marques

    2013-01-01

    Full Text Available Data from neuropsychological research suggest that categorizing objects at different levels of specificity requires different cognitive and neural processes. This short paper presents and discusses a theoretical hypothesis for this organization in terms of feature sharedness. It is proposed that superordinate concepts involve a larger absolute number of exemplars that share a particular feature, thus making them more resistant to damage than basic level concepts (i.e. superordinate advantage. Simultaneously, in relative terms, features are less shared overall by superordinate members than by basic level members, which imply higher executive requirements and can conversely lead to superordinate deficits. This hypothesis is discussed in relation to behavioral data from semantic dementia and stroke aphasia patients and fMRI data from healthy subjects that support the role of feature sharedness in the hierarchical organization of semantic knowledge.

  11. Feature activation during word recognition: action, visual, and associative-semantic priming effects.

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    Lam, Kevin J Y; Dijkstra, Ton; Rueschemeyer, Shirley-Ann

    2015-01-01

    Embodied theories of language postulate that language meaning is stored in modality-specific brain areas generally involved in perception and action in the real world. However, the temporal dynamics of the interaction between modality-specific information and lexical-semantic processing remain unclear. We investigated the relative timing at which two types of modality-specific information (action-based and visual-form information) contribute to lexical-semantic comprehension. To this end, we applied a behavioral priming paradigm in which prime and target words were related with respect to (1) action features, (2) visual features, or (3) semantically associative information. Using a Go/No-Go lexical decision task, priming effects were measured across four different inter-stimulus intervals (ISI = 100, 250, 400, and 1000 ms) to determine the relative time course of the different features. Notably, action priming effects were found in ISIs of 100, 250, and 1000 ms whereas a visual priming effect was seen only in the ISI of 1000 ms. Importantly, our data suggest that features follow different time courses of activation during word recognition. In this regard, feature activation is dynamic, measurable in specific time windows but not in others. Thus the current study (1) demonstrates how multiple ISIs can be used within an experiment to help chart the time course of feature activation and (2) provides new evidence for embodied theories of language.

  12. Feature activation during word recognition: action, visual, and associative-semantic priming effects

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    Kevin J.Y. Lam

    2015-05-01

    Full Text Available Embodied theories of language postulate that language meaning is stored in modality-specific brain areas generally involved in perception and action in the real world. However, the temporal dynamics of the interaction between modality-specific information and lexical-semantic processing remain unclear. We investigated the relative timing at which two types of modality-specific information (action-based and visual-form information contribute to lexical-semantic comprehension. To this end, we applied a behavioral priming paradigm in which prime and target words were related with respect to (1 action features, (2 visual features, or (3 semantically associative information. Using a Go/No-Go lexical decision task, priming effects were measured across four different inter-stimulus intervals (ISI = 100 ms, 250 ms, 400 ms, and 1,000 ms to determine the relative time course of the different features . Notably, action priming effects were found in ISIs of 100 ms, 250 ms, and 1,000 ms whereas a visual priming effect was seen only in the ISI of 1,000 ms. Importantly, our data suggest that features follow different time courses of activation during word recognition. In this regard, feature activation is dynamic, measurable in specific time windows but not in others. Thus the current study (1 demonstrates how multiple ISIs can be used within an experiment to help chart the time course of feature activation and (2 provides new evidence for embodied theories of language.

  13. Sequential modulation of distractor-interference produced by semantic generalization of stimulus features

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    Wendt, Mike; Luna-Rodriguez, Aquiles; Jacobsen, Thomas

    2014-01-01

    Sequential modulations of distractor-related interference (i.e., reduced congruency effect after incongruent as compared to congruent predecessor trials, a.k.a. Gratton effect) have been taken to reflect conflict-induced attentional focusing. To dismiss an alternative interpretation based on integration and retrieval of low-level features, it is important to exert experimental control of stimulus and response feature sequences. This has been achieved by considering only trials associated with complete feature changes. Furthermore, distractors from two different perceptual dimensions, such as stimulus location and shape, have been combined in the same experiment to investigate the question of specificity vs. generality of conflict adaptation. With this method feature sequence control can be exerted, in principle, without disregarding data from feature repetition trials. However, such control may be insufficient when the distractor dimensions overlap semantically. In two experiments we found evidence consistent with the assumption that semantic generalization of stimulus features, such as between a stimulus presented at a left-sided location and a stimulus shape pointing to the left, may yield a between-dimension Gratton effect. These findings raise doubts about inferring generalized attentional conflict adaptation when semantically related distractor dimensions are used. PMID:25452735

  14. Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries

    Directory of Open Access Journals (Sweden)

    Shengyu Liu

    2015-12-01

    Full Text Available Semantic features are very important for machine learning-based drug name recognition (DNR systems. The semantic features used in most DNR systems are based on drug dictionaries manually constructed by experts. Building large-scale drug dictionaries is a time-consuming task and adding new drugs to existing drug dictionaries immediately after they are developed is also a challenge. In recent years, word embeddings that contain rich latent semantic information of words have been widely used to improve the performance of various natural language processing tasks. However, they have not been used in DNR systems. Compared to the semantic features based on drug dictionaries, the advantage of word embeddings lies in that learning them is unsupervised. In this paper, we investigate the effect of semantic features based on word embeddings on DNR and compare them with semantic features based on three drug dictionaries. We propose a conditional random fields (CRF-based system for DNR. The skip-gram model, an unsupervised algorithm, is used to induce word embeddings on about 17.3 GigaByte (GB unlabeled biomedical texts collected from MEDLINE (National Library of Medicine, Bethesda, MD, USA. The system is evaluated on the drug-drug interaction extraction (DDIExtraction 2013 corpus. Experimental results show that word embeddings significantly improve the performance of the DNR system and they are competitive with semantic features based on drug dictionaries. F-score is improved by 2.92 percentage points when word embeddings are added into the baseline system. It is comparative with the improvements from semantic features based on drug dictionaries. Furthermore, word embeddings are complementary to the semantic features based on drug dictionaries. When both word embeddings and semantic features based on drug dictionaries are added, the system achieves the best performance with an F-score of 78.37%, which outperforms the best system of the DDIExtraction 2013

  15. Genetics Home Reference: autosomal dominant partial epilepsy with auditory features

    Science.gov (United States)

    ... Facebook Share on Twitter Your Guide to Understanding Genetic Conditions Search MENU Toggle navigation Home Page Search ... Conditions Genes Chromosomes & mtDNA Resources Help Me Understand Genetics Home Health Conditions ADPEAF autosomal dominant partial epilepsy ...

  16. Complex Biological Event Extraction from Full Text using Signatures of Linguistic and Semantic Features

    Energy Technology Data Exchange (ETDEWEB)

    McGrath, Liam R.; Domico, Kelly O.; Corley, Courtney D.; Webb-Robertson, Bobbie-Jo M.

    2011-06-24

    Building on technical advances from the BioNLP 2009 Shared Task Challenge, the 2011 challenge sets forth to generalize techniques to other complex biological event extraction tasks. In this paper, we present the implementation and evaluation of a signature-based machine-learning technique to predict events from full texts of infectious disease documents. Specifically, our approach uses novel signatures composed of traditional linguistic features and semantic knowledge to predict event triggers and their candidate arguments. Using a leave-one out analysis, we report the contribution of linguistic and shallow semantic features in the trigger prediction and candidate argument extraction. Lastly, we examine evaluations and posit causes for errors of infectious disease track subtasks.

  17. The effectiveness of semantic feature analysis: an evidence-based systematic review.

    Science.gov (United States)

    Maddy, K M; Capilouto, G J; McComas, K L

    2014-06-01

    This review examines the effectiveness of semantic feature analysis as an intervention to improve naming abilities for persons with aphasia. A systematic search of the literature identified 11 studies that met the pre-determined inclusion criteria. Two independent raters evaluated each study for methodological quality and assigned appropriate levels of evidence using the Single Case Experimental Design scale. To determine clinical effectiveness, effect sizes using Cohen's d were calculated if sufficient data were available. Alternatively, percent of non-overlapping data was calculated. Results indicated that methodologically sound research has been conducted to determine the effectiveness of semantic feature analysis for persons with aphasia using single subject research designs. When using Cohen's d, the majority of participants showed a small effect size. However, when percent of non-overlapping data was calculated, a large treatment effect was present for the majority of participants. Semantic feature analysis was an effective intervention for improving confrontational naming for the majority of participants included in the current review. Further research is warranted to examine generalization effects. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

  18. Differences in semantic and translation priming across languages: the role of language direction and language dominance.

    Science.gov (United States)

    Basnight-Brown, Dana M; Altarriba, Jeanette

    2007-07-01

    In the present study, we examined bilingual memory organization, using the priming paradigm. Many of the previous studies in which this experimental technique has been used in the bilingual domain appear to have had several differences in methodology that have caused there to be a lot of variation in the data reported. The aim of the present work was to create an experimental situation that was well constrained so that automatic processes could be observed. In Experiment 1, Spanish-English bilinguals participated in an unmasked semantic- and translation-priming study in which a lexical decision task was used. The results revealed significant translation-priming effects in both language directions and, unexpectedly, significant semantic priming in the L2-L1 direction only. In Experiment 2, we examined semantic- and translation-priming effects with a forward mask design. The results indicated that significant priming was obtained only for translation word pairs in both language directions. These results are discussed with regard to current models of bilingual memory representation.

  19. Semantic Feature Training in Combination with Transcranial Direct Current Stimulation (tDCS for Progressive Anomia

    Directory of Open Access Journals (Sweden)

    Jinyi Hung

    2017-05-01

    Full Text Available We examined the effectiveness of a 2-week regimen of a semantic feature training in combination with transcranial direct current stimulation (tDCS for progressive naming impairment associated with primary progressive aphasia (N = 4 or early onset Alzheimer’s Disease (N = 1. Patients received a 2-week regimen (10 sessions of anodal tDCS delivered over the left temporoparietal cortex while completing a language therapy that consisted of repeated naming and semantic feature generation. Therapy targets consisted of familiar people, household items, clothes, foods, places, hygiene implements, and activities. Untrained items from each semantic category provided item level controls. We analyzed naming accuracies at multiple timepoints (i.e., pre-, post-, 6-month follow-up via a mixed effects logistic regression and individual differences in treatment responsiveness using a series of non-parametric McNemar tests. Patients showed advantages for naming trained over untrained items. These gains were evident immediately post tDCS. Trained items also showed a shallower rate of decline over 6-months relative to untrained items that showed continued progressive decline. Patients tolerated stimulation well, and sustained improvements in naming accuracy suggest that the current intervention approach is viable. Future implementation of a sham control condition will be crucial toward ascertaining whether neurostimulation and behavioral treatment act synergistically or alternatively whether treatment gains are exclusively attributable to either tDCS or the behavioral intervention.

  20. Semantic data association for planar features in outdoor 6D-SLAM using lidar

    Science.gov (United States)

    Ulas, C.; Temeltas, H.

    2013-05-01

    Simultaneous Localization and Mapping (SLAM) is a fundamental problem of the autonomous systems in GPS (Global Navigation System) denied environments. The traditional probabilistic SLAM methods uses point features as landmarks and hold all the feature positions in their state vector in addition to the robot pose. The bottleneck of the point-feature based SLAM methods is the data association problem, which are mostly based on a statistical measure. The data association performance is very critical for a robust SLAM method since all the filtering strategies are applied after a known correspondence. For point-features, two different but very close landmarks in the same scene might be confused while giving the correspondence decision when their positions and error covariance matrix are solely taking into account. Instead of using the point features, planar features can be considered as an alternative landmark model in the SLAM problem to be able to provide a more consistent data association. Planes contain rich information for the solution of the data association problem and can be distinguished easily with respect to point features. In addition, planar maps are very compact since an environment has only very limited number of planar structures. The planar features does not have to be large structures like building wall or roofs; the small plane segments can also be used as landmarks like billboards, traffic posts and some part of the bridges in urban areas. In this paper, a probabilistic plane-feature extraction method from 3DLiDAR data and the data association based on the extracted semantic information of the planar features is introduced. The experimental results show that the semantic data association provides very satisfactory result in outdoor 6D-SLAM.

  1. Automatic Scoring of Multiple Semantic Attributes with Multi-task Feature Leverage: A Study on Pulmonary Nodules in CT Images.

    Science.gov (United States)

    Chen, Sihong; Qin, Jing; Ji, Xing; Lei, Baiying; Wang, Tianfu; Ni, Dong; Cheng, Jie-Zhi

    2016-11-16

    The gap between the computational and semantic features is the one of major factors that bottlenecks the computer-aided diagnosis (CAD) performance from clinical usage. To bridge this gap, we exploit three multi-task learning (MTL) schemes to leverage heterogeneous computational features derived from deep learning models of stacked denoising autoencoder (SDAE) and convolutional neural network (CNN), as well as hand-crafted Haar-like and HoG features, for the description of 9 semantic features for lung nodules in CT images. We regard that there may exist relations among the semantic features of "spiculation", "texture", "margin", etc., that can be explored with the MTL. The Lung Image Database Consortium (LIDC) data is adopted in this study for the rich annotation resources. The LIDC nodules were quantitatively scored w.r.t. 9 semantic features from 12 radiologists of several institutes in U.S.A. By treating each semantic feature as an individual task, the MTL schemes select and map the heterogeneous computational features toward the radiologists' ratings with cross validation evaluation schemes on the randomly selected 2400 nodules from the LIDC dataset. The experimental results suggest that the predicted semantic scores from the three MTL schemes are closer to the radiologists' ratings than the scores from single-task LASSO and elastic net regression methods. The proposed semantic attribute scoring scheme may provide richer quantitative assessments of nodules for better support of diagnostic decision and management. Meanwhile, the capability of the automatic association of medical image contents with the clinical semantic terms by our method may also assist the development of medical search engine.

  2. Biometric hashing for handwriting: entropy-based feature selection and semantic fusion

    Science.gov (United States)

    Scheidat, Tobias; Vielhauer, Claus

    2008-02-01

    Some biometric algorithms lack of the problem of using a great number of features, which were extracted from the raw data. This often results in feature vectors of high dimensionality and thus high computational complexity. However, in many cases subsets of features do not contribute or with only little impact to the correct classification of biometric algorithms. The process of choosing more discriminative features from a given set is commonly referred to as feature selection. In this paper we present a study on feature selection for an existing biometric hash generation algorithm for the handwriting modality, which is based on the strategy of entropy analysis of single components of biometric hash vectors, in order to identify and suppress elements carrying little information. To evaluate the impact of our feature selection scheme to the authentication performance of our biometric algorithm, we present an experimental study based on data of 86 users. Besides discussing common biometric error rates such as Equal Error Rates, we suggest a novel measurement to determine the reproduction rate probability for biometric hashes. Our experiments show that, while the feature set size may be significantly reduced by 45% using our scheme, there are marginal changes both in the results of a verification process as well as in the reproducibility of biometric hashes. Since multi-biometrics is a recent topic, we additionally carry out a first study on a pair wise multi-semantic fusion based on reduced hashes and analyze it by the introduced reproducibility measure.

  3. Multi Feature Content Based Video Retrieval Using High Level Semantic Concept

    Directory of Open Access Journals (Sweden)

    Hamdy K. Elminir

    2012-07-01

    Full Text Available Content-based retrieval allows finding information by searching its content rather than its attributes. The challenge facing content-based video retrieval (CBVR is to design systems that can accurately and automatically process large amounts of heterogeneous videos. Moreover, content-based video retrieval system requires in its first stage to segment the video stream into separate shots. Afterwards features are extracted for video shots representation. And finally, choose a similarity/distance metric and an algorithm that is efficient enough to retrieve query - related videos results. There are two main issues in this process; the first is how to determine the best way for video segmentation and key frame selection. The second is the features used for video representation. Various features can be extracted for this sake including either low or high level features. A key issue is how to bridge the gap between low and high level features. This paper proposes a system for a content based video retrieval system that tries to address the aforementioned issues by using adaptive threshold for video segmentation and key frame selection as well as using both low level features together with high level semantic object annotation for video representation. Experimental results show that the use of multi features increases both precision and recall rates by about 13% to 19 % than traditional system that uses only color feature for video retrieval.

  4. A database of semantic features for chosen concepts (Attested in 8- to 10-year-old Czech pupils

    Directory of Open Access Journals (Sweden)

    Konečná Kristýna

    2017-06-01

    Full Text Available In this paper, a database of semantic features is presented. 104 nominal concepts from 13 semantic categories were described by young Czech school children. They were asked to respond to the question “what is it, what does it mean?” by listing different kinds of properties for concepts in writing. Their responses were broken down into semantic features and the database was prepared using a set of pre-established rules. The method of database design, with an emphasis on the way features were recorded, is described in detail within this article. The data were statistically analysed and interpreted and the results along with database usage methodologies are discussed. The goal of this research is to produce a complex database to be used in future research relating to semantic features and therefore it has been published online for use by the wider academic community. At present, databases have been published based on data gathered from adult English and Czech speakers; however participation in this study was limited specifically to young Czech-speaking children. Thus, this database is characteristically unique as it provides important insight into this specific age and language group’s conceptual knowledge. The research is inspired primarily by research papers concerning semantic feature production obtained from adult English speakers (McRae, de Sa, and Seidenberg, 1997; McRae, Cree, Seidenberg, and McNorgan, 2005; Vinson and Vigliocco, 2008.

  5. Spatial and Temporal Features of Superordinate Semantic Processing Studied with fMRI and EEG.

    Directory of Open Access Journals (Sweden)

    Michelle E Costanzo

    2013-07-01

    Full Text Available The relationships between the anatomical representation of semantic knowledge in the human brain and the timing of neurophysiological mechanisms involved in manipulating such information remain unclear. This is the case for superordinate semantic categorization – the extraction of general features shared by broad classes of exemplars (e.g. living vs. non-living semantic categories. We proposed that, because of the abstract nature, of this information, input from diverse input modalities (visual or auditory, lexical or non-lexical should converge and be processed in the same regions of the brain, at similar time scales during superordinate categorization - specifically in a network of heteromodal regions, and late in the course of the categorization process. In order to test this hypothesis, we utilized electroencephalography and event related potentials (EEG/ERP with functional magnetic resonance imaging (fMRI to characterize subjects’ responses as they made superordinate categorical decisions (living vs. nonliving about objects presented as visual pictures or auditory words. Our results reveal that, consistent with our hypothesis, during the course of superordinate categorization, information provided by these diverse inputs appears to converge in both time and space: fMRI showed that heteromodal areas of the parietal and temporal cortices are active during categorization of both classes of stimuli. The ERP results suggest that superordinate categorization is reflected as a late positive component (LPC with a parietal distribution and long latencies for both stimulus types. Within the areas and times in which modality independent responses were identified, some differences between living and non-living categories were observed, with a more widespread spatial extent and longer latency responses for categorization of non-living items.  

  6. On Semantic Features and Semantic Structure Pattern of "Kiru"%“さる”的语义特征及语义结构模式

    Institute of Scientific and Technical Information of China (English)

    黄爱华

    2012-01-01

    日语“切断”事件动词"さる"具有多义性。根据日语语言学者提出的词典释义、添加成分等语义特征提取途径,分析并提取出"さる"的四个基本语义特征;通过探讨影山“动作链的语义结构模式”,结果显示:动词"さる"不仅蕴舍动作义,同时蕴合变化义和结果状态义.结果状态义是其核心语义。%Japanese verb of "cutting and breaking"events "Kiru" has various meanings. Based on the ways to extracting semantic features such as dictionary definitions and addition of grammatical elements, this essay sets out to analyze and extract four semantic features of "Kiru" and explore "Kiru" through semantic structural pattern based on action chain put forward by Kageyama.Then it draws a conclusion that "Kiru" has not only sememe of action but also sememe of change and sememe of result-state, the latter being its core sememe.

  7. A French Translation of the Pleasure Arousal Dominance (PAD Semantic Differential Scale for the Measure of Affect and Drive

    Directory of Open Access Journals (Sweden)

    Sandrine Detandt

    2017-03-01

    Full Text Available Multivariate studies have repeatedly confirmed that three basic dimensions of human emotional behavior, called 'pleasure' (P, 'arousal' (A and 'dominance '(D are persistent in organizing human judgments for a wide range of perceptual and symbolic stimuli. The Mehrabian and Russell’s PAD semantic differential scale is a well-established tool to measure these categories, but no standardized French translation is available for research. The aim of this study was to validate a French version of the PAD. For this purpose, (1 Mehrabian and Russell’s PAD was trans- lated through a process of translations and back-translations and (2 this French PAD was tested in a population of 111 French-speaking adults on 21 images of the International Affective Picture System (IAPS. A confirmatory factor analysis revealed the expected three-factor structure; the French PAD also distributed the images in the affective space according to the expected boomerang-shape. The present version of PAD is thus a valid French translation of Mehrabian and Russell’s original PAD.

  8. Extending UDDI with Context-Aware Features Based on Semantic Service Descriptions

    NARCIS (Netherlands)

    Pokraev, Stanislav; Koolwaaij, Johan; Wibbels, Martin; Zhang, L.J.

    2003-01-01

    The web has evolved from the HTML-based repositories of text and images towards the current web services and semantic web developments. Web services are believed to help the integration of diverse applications while the semantic web promises to increase the "intelligence" of the web, enabling richer

  9. Target templates specify visual, not semantic, features to guide search: A marked asymmetry between seeking and ignoring.

    Science.gov (United States)

    Daffron, Jennifer L; Davis, Greg

    2016-10-01

    Top-down search templates specify targets' properties, either to guide attention toward the target or, independently, to accelerate the recognition of individual search items. Some previous studies have concluded that target templates can specify semantic categories to guide attention, though dissociating the effects of semantic versus visual features has proven difficult. In the present experiments, we examined the roles of target templates in search performance, by measuring the "two-template costs" incurred when observers did not know which of two types of targets would be presented. For target templates, these costs only varied with set size when a template could specify a target's features. Any semantic influences did not affect the guidance of attention, only the recognition of individual items. In contrast, templates for rejection-specifying the properties of irrelevant nontargets-do appear to specify semantic properties to guide attention away from those items, without affecting recognition. These qualitative differences between the two types of templates suggest that the processes of seeking and ignoring are fundamentally different.

  10. Unsupervised semantic indoor scene classification for robot vision based on context of features using Gist and HSV-SIFT

    Science.gov (United States)

    Madokoro, H.; Yamanashi, A.; Sato, K.

    2013-08-01

    This paper presents an unsupervised scene classification method for actualizing semantic recognition of indoor scenes. Background and foreground features are respectively extracted using Gist and color scale-invariant feature transform (SIFT) as feature representations based on context. We used hue, saturation, and value SIFT (HSV-SIFT) because of its simple algorithm with low calculation costs. Our method creates bags of features for voting visual words created from both feature descriptors to a two-dimensional histogram. Moreover, our method generates labels as candidates of categories for time-series images while maintaining stability and plasticity together. Automatic labeling of category maps can be realized using labels created using adaptive resonance theory (ART) as teaching signals for counter propagation networks (CPNs). We evaluated our method for semantic scene classification using KTH's image database for robot localization (KTH-IDOL), which is popularly used for robot localization and navigation. The mean classification accuracies of Gist, gray SIFT, one class support vector machines (OC-SVM), position-invariant robust features (PIRF), and our method are, respectively, 39.7, 58.0, 56.0, 63.6, and 79.4%. The result of our method is 15.8% higher than that of PIRF. Moreover, we applied our method for fine classification using our original mobile robot. We obtained mean classification accuracy of 83.2% for six zones.

  11. Common and differential electrophysiological mechanisms underlying semantic object memory retrieval probed by features presented in different stimulus types.

    Science.gov (United States)

    Chiang, Hsueh-Sheng; Eroh, Justin; Spence, Jeffrey S; Motes, Michael A; Maguire, Mandy J; Krawczyk, Daniel C; Brier, Matthew R; Hart, John; Kraut, Michael A

    2016-08-01

    How the brain combines the neural representations of features that comprise an object in order to activate a coherent object memory is poorly understood, especially when the features are presented in different modalities (visual vs. auditory) and domains (verbal vs. nonverbal). We examined this question using three versions of a modified Semantic Object Retrieval Test, where object memory was probed by a feature presented as a written word, a spoken word, or a picture, followed by a second feature always presented as a visual word. Participants indicated whether each feature pair elicited retrieval of the memory of a particular object. Sixteen subjects completed one of the three versions (N=48 in total) while their EEG were recorded simultaneously. We analyzed EEG data in four separate frequency bands (delta: 1-4Hz, theta: 4-7Hz; alpha: 8-12Hz; beta: 13-19Hz) using a multivariate data-driven approach. We found that alpha power time-locked to response was modulated by both cross-modality (visual vs. auditory) and cross-domain (verbal vs. nonverbal) probing of semantic object memory. In addition, retrieval trials showed greater changes in all frequency bands compared to non-retrieval trials across all stimulus types in both response-locked and stimulus-locked analyses, suggesting dissociable neural subcomponents involved in binding object features to retrieve a memory. We conclude that these findings support both modality/domain-dependent and modality/domain-independent mechanisms during semantic object memory retrieval. Copyright © 2016 Elsevier B.V. All rights reserved.

  12. Identification of Image Emotional Semantic based on Feature Fusion%基于特征融合的图像情感语义识别研究

    Institute of Scientific and Technical Information of China (English)

    刘增荣; 余雪丽; 李志

    2012-01-01

    针对图像情感语义识别中特征提取的问题,提出了一种加权值的图像特征融合算法,并应用于图像情感语义识别.该方法根据不同特征对情感语义的影响不同,在提取出颜色、纹理和形状特征后通过加权融合为新的特征输入量,并用SVM来实现情感语义的识别.实验结果表明,这种算法比单独使用某种图像特征有更高的准确率.%Because of the semantic gap, we can only extract the image feature to identify indirectly the image emotional semantic. In view of the feature extraction problem of image emotional semantic identification, the image feature fusion algorithm with weights was proposed and applied to the identification of image emotional semantic. According to the effects of the extracted color, texture and shape features of image on emotional semantic, the features were weighted and fused into new feature input. SVM was used to achieve emotional semantic identification. This algorithm was more accurate than the method that used only one kind of image features in experiments.

  13. Seizure semiology in autosomal dominant epilepsy with auditory features, due to novel LGI1 mutations.

    Science.gov (United States)

    Sadleir, Lynette G; Agher, Dahbia; Chabrol, Elodie; Elkouby, Léa; Leguern, Eric; Paterson, Sarah J; Harty, Rosie; Bellows, Susannah T; Berkovic, Samuel F; Scheffer, Ingrid E; Baulac, Stéphanie

    2013-12-01

    Mutations in LGI1 are found in 50% of families with autosomal dominant epilepsy with auditory features (ADEAF). In ADEAF, family members have predominantly lateral temporal lobe seizures but mesial temporal lobe semiology may also occur. We report here three families with novel LGI1 mutations (p.Ile82Thr, p.Glu225*, c.432-2_436del). Seven affected individuals reported an auditory aura and one a visual aura. A 10-year old boy described a cephalic aura followed by an unpleasant taste and oral automatisms without auditory, visual or psychic features. Copyright © 2013 Elsevier B.V. All rights reserved.

  14. Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares.

    Science.gov (United States)

    Jozwik, Kamila M; Kriegeskorte, Nikolaus; Mur, Marieke

    2016-03-01

    Object similarity, in brain representations and conscious perception, must reflect a combination of the visual appearance of the objects on the one hand and the categories the objects belong to on the other. Indeed, visual object features and category membership have each been shown to contribute to the object representation in human inferior temporal (IT) cortex, as well as to object-similarity judgments. However, the explanatory power of features and categories has not been directly compared. Here, we investigate whether the IT object representation and similarity judgments are best explained by a categorical or a feature-based model. We use rich models (>100 dimensions) generated by human observers for a set of 96 real-world object images. The categorical model consists of a hierarchically nested set of category labels (such as "human", "mammal", and "animal"). The feature-based model includes both object parts (such as "eye", "tail", and "handle") and other descriptive features (such as "circular", "green", and "stubbly"). We used non-negative least squares to fit the models to the brain representations (estimated from functional magnetic resonance imaging data) and to similarity judgments. Model performance was estimated on held-out images not used in fitting. Both models explained significant variance in IT and the amounts explained were not significantly different. The combined model did not explain significant additional IT variance, suggesting that it is the shared model variance (features correlated with categories, categories correlated with features) that best explains IT. The similarity judgments were almost fully explained by the categorical model, which explained significantly more variance than the feature-based model. The combined model did not explain significant additional variance in the similarity judgments. Our findings suggest that IT uses features that help to distinguish categories as stepping stones toward a semantic representation

  15. Patterns of regional brain hypometabolism associated with knowledge of semantic features and categories in alzheimer's disease

    DEFF Research Database (Denmark)

    Zahn, R.; Garrard, P.; Talazko, J.

    2006-01-01

    The study of semantic memory in patients with Alzheimer's disease (AD) has raised important questions about the representation of conceptual knowledge in the human brain. It is still unknown whether semantic memory impairments are caused by localized damage to specialized regions or by diffuse...... properties of nonliving objects. Visual property verification of living objects was significantly correlated with left posterior fusiform gyrus metabolism (Brodmann's area [BA] 37/19). Effects of visual and functional property verification for nonliving objects largely overlapped in the left anterior...

  16. Feature activation during word recognition: Action, visual, and associative-semantic priming effects

    NARCIS (Netherlands)

    Lam Jia Yoong, K.; Dijkstra, A.F.J.; Rüschemeyer, S.A.

    2015-01-01

    Embodied theories of language postulate that language meaning is stored in modality-specific brain areas generally involved in perception and action in the real world. However, the temporal dynamics of the interaction between modality-specific information and lexical-semantic processing remain

  17. Problems of teaching students to use the featured technologies in the area of semantic web

    Science.gov (United States)

    Klimov, V. V.; Chernyshov, A. A.; Balandina, A. I.; Kostkina, A. D.

    2017-01-01

    The following paper contains the description of up-to-date technologies in the area of web-services development, service-oriented architecture and the Semantic Web. The paper contains the analysis of the most popular and widespread technologies and methods in the semantic web area which are used in the developed educational course. In the paper, we also describe the problem of teaching students to use these technologies and specify conditions for the creation of the learning and development course. We also describe the main exercise for personal work and skills, which all the students learning this course have to gain. Moreover, in the paper we specify the problem with software which students are going to use while learning this course. In order to solve this problem, we introduce the developing system which will be used to support the laboratory works. For this moment this system supports only the fourth work execution, but our following plans contain the expansion of the system in order to support the leftover works.

  18. DeepMap+: Recognizing High-Level Indoor Semantics Using Virtual Features and Samples Based on a Multi-Length Window Framework.

    Science.gov (United States)

    Zhang, Wei; Zhou, Siwang

    2017-05-26

    Existing indoor semantic recognition schemes are mostly capable of discovering patterns through smartphone sensing, but it is hard to recognize rich enough high-level indoor semantics for map enhancement. In this work we present DeepMap+, an automatical inference system for recognizing high-level indoor semantics using complex human activities with wrist-worn sensing. DeepMap+ is the first deep computation system using deep learning (DL) based on a multi-length window framework to enrich the data source. Furthermore, we propose novel methods of increasing virtual features and virtual samples for DeepMap+ to better discover hidden patterns of complex hand gestures. We have performed 23 high-level indoor semantics (including public facilities and functional zones) and collected wrist-worn data at a Wal-Mart supermarket. The experimental results show that our proposed methods can effectively improve the classification accuracy.

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

    Directory of Open Access Journals (Sweden)

    Tsai Richard

    2007-09-01

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

  20. 基于概念特征的语义文本分类%Concept-features-based semantic text classification

    Institute of Scientific and Technical Information of China (English)

    林伟; 孟凡荣; 王志晓

    2011-01-01

    文本分类是组织和处理海量文本信息的关键方法.目前的文本分类模型多用关键词特征向量描述文本资源,造成向量的高维性和稀疏性.引入文本资源的概念特征,将文本资源描述由关键词级提升至概念级,提高文本资源描述的准确性,并提出了基于概念特征的语义文本分类模型.仿真实验的结果表明,该模型能有效克服资源特征向量空间的高维性和稀疏性,确保向量空间的正交性,在语义文本分类的效率和正确性上都有良好的表现.%Text classification is the key method of mass text messages organizing and processing.Most current text classification models use keywords eigenvector to describe the text resources which makes the vector high dimensional and sparse. This paper introduces the concept-features instead of keywords to describe the text resources, which improves the accuracy of text resources description.A concept-features-based semantic text classification model is put forward in this paper.The results of simulation experiments show that the model can overcome the vector space's high-dimensionality and sparsity,and ensure the orthogonality of the vector space.The semantic text classification presents a fine performance both in efficiency and accuracy.

  1. Driver face tracking using semantics-based feature of eyes on single FPGA

    Science.gov (United States)

    Yu, Ying-Hao; Chen, Ji-An; Ting, Yi-Siang; Kwok, Ngaiming

    2017-06-01

    Tracking driver's face is one of the essentialities for driving safety control. This kind of system is usually designed with complicated algorithms to recognize driver's face by means of powerful computers. The design problem is not only about detecting rate but also from parts damages under rigorous environments by vibration, heat, and humidity. A feasible strategy to counteract these damages is to integrate entire system into a single chip in order to achieve minimum installation dimension, weight, power consumption, and exposure to air. Meanwhile, an extraordinary methodology is also indispensable to overcome the dilemma of low-computing capability and real-time performance on a low-end chip. In this paper, a novel driver face tracking system is proposed by employing semantics-based vague image representation (SVIR) for minimum hardware resource usages on a FPGA, and the real-time performance is also guaranteed at the same time. Our experimental results have indicated that the proposed face tracking system is viable and promising for the smart car design in the future.

  2. Image Semantic Automatic Annotation by Relevance Feedback

    Institute of Scientific and Technical Information of China (English)

    ZHANG Tong-zhen; SHEN Rui-min

    2007-01-01

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

  3. Is attention enough? A re-examination of the impact of feature-specific attention allocation on semantic priming effects in the pronunciation task.

    Science.gov (United States)

    Becker, Manuel; Klauer, Karl Christoph; Spruyt, Adriaan

    2016-02-01

    In a series of articles, Spruyt and colleagues have developed the Feature-Specific Attention Allocation framework, stating that the semantic analysis of task-irrelevant stimuli is critically dependent upon dimension-specific attention allocation. In an adversarial collaboration, we replicate one experiment supporting this theory (Spruyt, de Houwer, & Hermans, 2009; Exp. 3), in which semantic priming effects in the pronunciation task were found to be restricted to stimulus dimensions that were task-relevant on induction trials. Two pilot studies showed the capability of our laboratory to detect priming effects in the pronunciation task, but also suggested that the original effect may be difficult to replicate. In this study, we tried to replicate the original experiment while ensuring adequate statistical power. Results show little evidence for dimension-specific priming effects. The present results provide further insight into the malleability of early semantic encoding processes, but also show the need for further research on this topic.

  4. Distinctive Feature of Microbial Communities and Bacterial Functional Profiles in Tricholoma matsutake Dominant Soil

    Science.gov (United States)

    Oh, Seung-Yoon; Fong, Jonathan J.; Park, Myung Soo; Lim, Young Woon

    2016-01-01

    Tricholoma matsutake, the pine mushroom, is a valuable forest product with high economic value in Asia, and plays an important ecological role as an ectomycorrhizal fungus. Around the host tree, T. matsutake hyphae generate a distinctive soil aggregating environment called a fairy ring, where fruiting bodies form. Because T. matsutake hyphae dominate the soil near the fairy ring, this species has the potential to influence the microbial community. To explore the influence of T. matsutake on the microbial communities, we compared the microbial community and predicted bacterial function between two different soil types—T. matsutake dominant and T. matsutake minor. DNA sequence analyses showed that fungal and bacterial diversity were lower in the T. matsutake dominant soil compared to T. matsutake minor soil. Some microbial taxa were significantly more common in the T. matsutake dominant soil across geographic locations, many of which were previously identified as mycophillic or mycorrhiza helper bacteria. Between the two soil types, the predicted bacterial functional profiles (using PICRUSt) had significantly distinct KEGG modules. Modules for amino acid uptake, carbohydrate metabolism, and the type III secretion system were higher in the T. matsutake dominant soil than in the T. matsutake minor soil. Overall, similar microbial diversity, community structure, and bacterial functional profiles of the T. matsutake dominant soil across geographic locations suggest that T. matsutake may generate a dominance effect. PMID:27977803

  5. Semantic Feature Analysis (SFA in the Treatment of Naming Deficits: Evidence from a Malay Speaker with Non-Fluent Aphasia

    Directory of Open Access Journals (Sweden)

    Mohd Azmarul A Aziz

    2015-04-01

    Full Text Available Introduction Semantic Feature Analysis (SFA is a treatment for lexical retrieval impairment in which participants are cued by providing semantic information regarding concepts they have difficulty with in naming tasks in an effort to facilitate accurate lexical retrieval (Boyle & Coelho, 1995. People with aphasia are commonly found to have naming deficits and speech-language therapists (SLTs face difficulties in providing an effective treatment method to treat this deficit. This study aims to examine the use of SFA to address naming deficits for nouns and verbs in a Malay patient (KM with non-fluent aphasia. Methods The following tests were administered to the subject pre- and post- treatment: 1 Boston Diagnostic Aphasia Examination (BDAE; 2 Malay Object and Action Test (MOAT; and 3 A series of comprehension and production assessments in Malay. Subject was asked to name 101 and 50 pictures from MOAT. The stimuli were coloured photograph pictures. Treatment and probe (untrained stimuli were selected from pictures that a subject could not name, yielding 40 nouns and 30 verbs. From these, 20 stimuli were randomly chosen as probe items and 20 as treatment stimuli (nouns, 15 treatment and 15 probes (verbs. For the treatment study, single subject A-B-A design was implemented. Three baseline sessions were completed prior to treatment initiation naming for both probe and treatment pictures. Subject attended once-weekly therapy sessions over 8 months. Probes assessing generalizations to untrained pictures were presented at 4th, 8th, and 12th and so on until the end of the programme. Results Results showed that KM’s ability to name trained and untrained picture stimuli improved for both nouns and verbs. KM demonstrated steady improvement in the SFA treatment of trained nouns and verbs: from 5% baseline accuracy to over 90% accuracy at treatment end for nouns and from 0% baseline accuracy to 90% accuracy at treatment end for verbs. Generalizations to

  6. Multi-Objective Feature Subset Selection using Non-dominated Sorting Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    A. Khan

    2015-02-01

    Full Text Available This paper presents an evolutionary algorithm based technique to solve multi-objective feature subset selection problem. The data used for classification contains large number of features called attributes. Some of these attributes are not relevant and needs to be eliminated. In classification procedure, each feature has an effect on the accuracy, cost and learning time of the classifier. So, there is a strong requirement to select a subset of the features before building the classifier. This proposed technique treats feature subset selection as multi-objective optimization problem. This research uses one of the latest multi-objective genetic algorithms (NSGA - II. The fitness value of a particular feature subset is measured by using ID3. The testing accuracy acquired is then assigned to the fitness value. This technique is tested on several datasets taken from the UCI machine repository. The experiments demonstrate the feasibility of using NSGA-II for feature subset selection.

  7. RELATIONSHIP AMONG BRAIN HEMISPHERIC DOMINANCE, ATTITUDE TOWARDS L1 AND L2, GENDER, AND LEARNING SUPRASEGMENTAL FEATURES

    Directory of Open Access Journals (Sweden)

    Mohammad Hadi Mahmoodi

    2016-07-01

    Full Text Available Oral skills are important components of language competence. To have good and acceptable listening and speaking, one must have good pronunciation, which encompasses segmental and suprasegmental features. Despite extensive studies on the role of segmental features and related issues in listening and speaking, there is paucity of research on the role of suprasegmental features in the same domain. Conducting studies which aim at shedding light on the issues related to learning suprasegmental features can help language teachers and learners in the process of teaching/learning English as a foreign language. To this end, this study was designed to investigate the relationship among brain hemispheric dominance, gender, attitudes towards L1 and L2, and learning suprasegmental features in Iranian EFL learners. First, 200 Intermediate EFL learners were selected from different English language teaching institutes in Hamedan and Isfahan, two provinces in Iran, as the sample. Prior to the main stage of the study, Oxford Placement Test (OPT was used to homogenize the proficiency level of all the participants. Then, the participants were asked to complete the Edinburgh Handedness Questionnaire to determine their dominant hemisphere. They were also required to answer two questionnaires regarding their attitudes towards L1 and L2. Finally, the participants took suprasegmental features test. The results of the independent samples t-tests indicated left-brained language learners’ superiority in observing and learning suprasegmental features. It was also found that females are better than males in producing suprasegmental features. Furthermore, the results of Pearson Product Moment Correlations indicated that there is significant relationship between attitude towards L2 and learning suprasegmental features. However, no significant relationship was found between attitude towards L1 and learning English suprasegmental features. The findings of this study can

  8. Dominant beta-catenin mutations cause intellectual disability with recognizable syndromic features

    NARCIS (Netherlands)

    Tucci, V.; Kleefstra, T.; Hardy, A.; Heise, I.; Maggi, S.; Willemsen, M.H.; Hilton, H.; Esapa, C.; Simon, M.; Buenavista, M.T.; McGuffin, L.J.; Vizor, L.; Dodero, L.; Tsaftaris, S.; Romero, R.; Nillesen, W.N.; Vissers, L.E.L.M.; Kempers, M.J.E.; Silfhout, A.T. van; Iqbal, Z.; Orlando, M.; Maccione, A.; Lassi, G.; Farisello, P.; Contestabile, A.; Tinarelli, F.; Nieus, T.; Raimondi, A.; Greco, B.; Cantatore, D.; Gasparini, L.; Berdondini, L.; Bifone, A.; Gozzi, A.; Wells, S.; Nolan, P.M.

    2014-01-01

    The recent identification of multiple dominant mutations in the gene encoding beta-catenin in both humans and mice has enabled exploration of the molecular and cellular basis of beta-catenin function in cognitive impairment. In humans, beta-catenin mutations that cause a spectrum of neurodevelopment

  9. Ferruginous conditions: A dominant feature of the ocean through Earth’s history

    DEFF Research Database (Denmark)

    Poulton, Simon W.; Canfield, Donald Eugene

    2011-01-01

    , iron-rich (ferruginous) oceanic conditions often goes unrecognized, but refined techniques are currently providing evidence to suggest that ferruginous deep-ocean conditions were likely dominant throughout much of Earth's history. The prevalence of this redox state suggests that a detailed appraisal......The reconstruction of oceanic paleoredox conditions on Earth is essential for investigating links between biospheric oxygenation and major periods of biological innovation and extinction, and for unravelling feedback mechanisms associated with paleoenvironmental change. The occurrence of anoxic...

  10. Clinical features and linkage analysis for a Chinese family with autosomal dominant central areolar choroidal dystrophy

    Institute of Scientific and Technical Information of China (English)

    MA Kai; LIU Ning-pu; YANG Xiu-fen; HAN Cui; ZHANG Ning; XU Jun; LIU Shou-bin; LU Hal; Torkel Snellingen; WANG Ning-li

    2009-01-01

    Background A Chinese family with autosomal dominant central areolar choroidal dystrophy (CACD) was identified.The purpose of this study was to collect the clinical findings from the family and to identify the genetic entity by linkage nalysis.Methods Forty-three individuals from 3 generations of the family underwent ophthalmologic examinations, including best-corrected visual acuity, examination of the anterior segments, and inspection of the ocular fundus after pharmacologic mydriasis. Affected family members further underwent color vision test, color fundus photography,fluorescein angiography, automated perimetry, and electroretinography. The family was followed up for 30 months.Peripheral venous blood or buccal swabs were collected from each family member and genomic DNA was extracted.Linkage analysis was performed for candidate genes or loci using microsatellite markers.Results Seven family members in 3 continuous generations were diagnosed as having autosomal dominant CACD.The family showed progressive development of the disease, affecting both male and female. Age of onset of visual disturbances varied between 11 and 50 years. Phenotypic variability among affected individuals was apparent and ranged from relatively normal-appearing fundus with mild parafoveal pigment mottling to geographic atrophy of the macula. Fluorescein angiography showed hyperfluorescent parafoveal changes in early stage or well-demarcated area of chorioretinal atrophy with enhanced visibility of the residual underlying choroidal vessels in the late stage. Peripheral retina and visual fields were normal in affected individuals. Electroretinogram showed normal or mild reduction in the photopic amplitude. Eight candidate genes (STGD4, RCD1, peripherin/RDS, GUCA1A, RIMS1, UNC119, GUC Y2D, and AIPL1) and two genetic loci (4p15.2-16.3, and 17p13) were excluded to be responsible for the disease by linkage analysis.Conclusions The clinical findings of this Chinese family with CACD shared

  11. A Rigid Nested Metal-Organic Framework Featuring a Thermoresponsive Gating Effect Dominated by Counterions.

    Science.gov (United States)

    Gao, Qiang; Xu, Jian; Cao, Dapeng; Chang, Ze; Bu, Xian-He

    2016-11-21

    We herein report a rigid nested metal-organic framework (MOF) featuring a unique thermoresponsive gating adsorption behavior, which, in contrast to any known flexibility modes for stimuli-responsive MOFs, depends on the thermal motion of the extra-framework counterions. In addition, this MOF also exhibits adsorption selectivity of CO2 over N2 , H2 , and Ar at 273 K, thus enabling a strategic separation and encapsulation of CO2 . © 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

  12. 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

  13. Echocardiographic features defining right dominant unbalanced atrioventricular septal defect: a multi-institutional Congenital Heart Surgeons' Society study.

    Science.gov (United States)

    Cohen, Meryl S; Jegatheeswaran, Anusha; Baffa, Jeanne M; Gremmels, David B; Overman, David M; Caldarone, Christopher A; McCrindle, Brian W; Mertens, Luc

    2013-07-01

    Definition and management of right dominant unbalanced atrioventricular septal defect (AVSD) remains challenging because unbalance entails a spectrum of left heart hypoplasia. Previous work has highlighted atrioventricular valve (AVV) index as a reasonable defining echocardiographic measure. We sought to assess which additional echocardiographic features might provide further characterization. From a multi-institutional cohort of complete AVSD, 52 preoperative echocardiograms of patients with presumed right dominant unbalanced AVSD (based on AVV index) and 60 randomly selected preoperative echocardiograms from patients with presumed balanced AVSD were reviewed. Cluster analysis of echocardiographic variables was used to group patients with similar features. Discriminant function analysis was used to explore which variables differentiated these groups. Three groups were identified from the cluster analysis. Echocardiographic variables that differentiated these groups were right ventricle:left ventricle inflow angle, LV width/LV length, left AVV color diameter at smallest inflow, left AVV color diameter at annulus, right AVV overriding left atrium, and LV width. Based on procedures and outcomes, 1 group likely represented balanced patients, whereas 2 groups with similar outcomes likely represented unbalanced patients. The dominant differentiating echocardiographic variable between the 3 cluster groups was the right ventricle:LV inflow angle (partial R²=0.86), defined as the angle between the base of the right ventricle and LV free wall, using the crest of the ventricular septum as apex of the angle. The angle of right ventricle/LV inflow and other surrogates of inflow may be important defining echocardiographic measures of right dominant unbalanced AVSD, although confirmation is needed.

  14. 大数据的语义、特征与本质%The Semantics,Feature and Essence of Big Data

    Institute of Scientific and Technical Information of China (English)

    黄欣荣

    2015-01-01

    Big data is a heatedly discussed word at present,but what the hell is big data? The answer to it is relatively vague in academic circle as well as in industry.Semantic analysis via confused semantics and the further revealing in semantics of big data from basic feature and philosophical essence have important significance for the development of big data technology and public understanding on it.%大数据是一个热门词汇,但大数据究竟是什么?目前学术界和产业界都比较模糊。从混乱的语义中做出语义分析,并从基本特征、哲学本质中进一步揭示大数据的涵义,这些工作对大数据技术的发展以及大众对大数据的理解都具有重要的意义。

  15. Written discourse and acquired brain impairment: evaluation of structural and semantic features of personal letters from a Systemic Functional Linguistic perspective.

    Science.gov (United States)

    Mortensen, Lynne

    2005-01-01

    This qualitative study investigated written discourse in the form of personal letters written by ten people with aphasia following stroke and ten people with cognitive-language disorder as a consequence of traumatic brain injury, and compared their performance with 15 non brain-damaged writers. Personal letters perform the dual function of providing information and maintaining social relationships. Using the Systemic Functional Linguistics framework for investigation, letters were examined in terms of their dual functions, and at two different strata of language--generic structure and semantic organisation. A small quantum of research suggests that the dissociation between different strata of language (i.e., macro and micro linguistic abilities), identified in the spoken discourse of people with aphasia and people with cognitive-language disorder is mirrored in written discourse. Aphasic writers largely maintain coherent text structure while writers with cognitive-language impairment demonstrate problems with global text coherence and the episodic structure of texts. Results of the generic structure analysis did not support the hypothesis. However, the semantic Move analysis revealed how diminished linguistic resources, most evident in the letters written by the subjects with aphasia, impacted upon the semantic diversity of the text, as well as the interpersonal function of the personal letter. Variable performance as a feature pathology and normality is highlighted and clinical implications discussed.

  16. A multi-scale method for automatically extracting the dominant features of cervical vertebrae in CT images

    Directory of Open Access Journals (Sweden)

    Tung-Ying Wu

    2013-07-01

    Full Text Available Localization of the dominant points of cervical spines in medical images is important for improving the medical automation in clinical head and neck applications. In order to automatically identify the dominant points of cervical vertebrae in neck CT images with precision, we propose a method based on multi-scale contour analysis to analyzing the deformable shape of spines. To extract the spine contour, we introduce a method to automatically generate the initial contour of the spine shape, and the distance field for level set active contour iterations can also be deduced. In the shape analysis stage, we at first coarsely segment the extracted contour with zero-crossing points of the curvature based on the analysis with curvature scale space, and the spine shape is modeled with the analysis of curvature scale space. Then, each segmented curve is analyzed geometrically based on the turning angle property at different scales, and the local extreme points are extracted and verified as the dominant feature points. The vertices of the shape contour are approximately derived with the analysis at coarse scale, and then adjusted precisely at fine scale. Consequently, the results of experiment show that we approach a success rate of 93.4% and accuracy of 0.37mm by comparing with the manual results.

  17. Order Theoretical Semantic Recommendation

    Energy Technology Data Exchange (ETDEWEB)

    Joslyn, Cliff A.; Hogan, Emilie A.; Paulson, Patrick R.; Peterson, Elena S.; Stephan, Eric G.; Thomas, Dennis G.

    2013-07-23

    Mathematical concepts of order and ordering relations play multiple roles in semantic technologies. Discrete totally ordered data characterize both input streams and top-k rank-ordered recommendations and query output, while temporal attributes establish numerical total orders, either over time points or in the more complex case of startend temporal intervals. But also of note are the fully partially ordered data, including both lattices and non-lattices, which actually dominate the semantic strcuture of ontological systems. Scalar semantic similarities over partially-ordered semantic data are traditionally used to return rank-ordered recommendations, but these require complementation with true metrics available over partially ordered sets. In this paper we report on our work in the foundations of partial order measurement in ontologies, with application to top-k semantic recommendation in workflows.

  18. [Phenotypic features in autistic individuals: the finger length ratio (2D:4D), hair whorl, and hand dominance].

    Science.gov (United States)

    Aksu, Funda; Baykara, Burak; Ergın, Canem; Arman, Candan

    2013-01-01

    The aim of this study was to compare the finger length ratio (2D:4D), hair whorl direction, and hand, foot, and eye dominance in autistic and healthy individuals, and to investigate the phenotypic characteristics of autism. The study included 37 males diagnosed with autistic disorder and 121 healthy males, all aged 4-18 years. The length of the index and ring fingers of both hands--from the proximal bend of the metacarpophalangeal joint to the fingertips--was measured with digital calipers and the index-ring finger (2D:4D) ratio was determined. The distance between hair whorls, their perpendicular distance from the mid-sagittal line, and their direction of rotation were calculated in the autism and control groups. Hand, foot, and eye dominance were determined in both groups. The findings were evaluated using SPSS v.15.0. The autism group had a greater number of hair whorls than the control group. The distance between hair whorls and the mid-sagittal line was longer in those with left hand and left eye dominance. A significant difference in the 2D:4D ratio of the right and left hands between the 2 groups was not observed. The autism group had more hair whorls than the control group and the hair whorls in the autistic individuals with left hand and left eye dominance were located further from the mid-saggital line. We think that these novel findings might contribute to the determination of the phenotypic features specific to autism.

  19. 基于Web语义挖掘的产品功能使用度分析%Web semantic mining based product feature usability analysis

    Institute of Scientific and Technical Information of China (English)

    刘攀; 王丽亚

    2011-01-01

    Sample size and investigating target becomes to be two bottlenecks of questionnaire method in product feature usa-bility analysis. To well overcome these problems, this paper proposed a novel product feature usability analysis approach based on Web semantic mining to deal with the feature usability issue. Firstly, built related word list so as to develop a product usage information system. Then formulated feature usability model to analyze product features. At last, provided a cell phone case study to testify the feature usability analysis approach.%为了克服传统问卷调查方法研究产品功能使用度时受限于样本大小和目标针对性不强等缺陷,提出了基于Web语义挖掘的产品功能使用度分析方法.运用基于人工修正的知网方法构建了关联词表,然后开发了产品使用信息系统,构建了产品功能定量化研究模型,对产品功能使用度进行分析.通过某款手机具体对该系统性的方法进行了验证,为产品功能决策提供依据.

  20. 具有小世界特性的语义覆盖网络模型%Semantic Overlay Network Model with Small-world Features

    Institute of Scientific and Technical Information of China (English)

    刘浩; 贺文华

    2012-01-01

    The topology structure of P2P overlay network decides its system performance. However, the existing P2P overlay network models do not take clustering and symmetry of nodes into account, and support only precise resource locating scheme. A Semantic Overlay Network(SON) model with small-world features is proposed in the paper. It adopts the mechanism of distinctly grouping, semantic search edge and Group Flooding(GF). Results of analysis and experiment show that this model provides better network performance and higher search efficiency than the existing overlay network models such as Chord and CAN. Furthermore, it has the querying capability of multi-matching results.%目前大多数的结构化覆盖网络模型忽略节点的聚类性和对称性,并且只能提供精确的资源查询机制.为此,给出一种具有小世界特性的语义覆盖网络模型.该模型采用显式分区机制、语义搜索链和组扩散机制.分析和实验结果表明,该模型比现有的覆盖网络模型Chord和CAN具有更好的网络性能,搜索效率更高,且具有较好的多匹配结果查询能力.

  1. 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

  2. Lung-dominant connective tissue disease among patients with interstitial lung disease: prevalence, functional stability, and common extrathoracic features

    Directory of Open Access Journals (Sweden)

    Daniel Antunes Silva Pereira

    2015-04-01

    Full Text Available OBJECTIVE: To describe the characteristics of a cohort of patients with lung-dominant connective tissue disease (LD-CTD. METHODS: This was a retrospective study of patients with interstitial lung disease (ILD, positive antinuclear antibody (ANA results (≥ 1/320, with or without specific autoantibodies, and at least one clinical feature suggestive of connective tissue disease (CTD. RESULTS: Of the 1,998 patients screened, 52 initially met the criteria for a diagnosis of LD-CTD: 37% were male; the mean age at diagnosis was 56 years; and the median follow-up period was 48 months. During follow-up, 8 patients met the criteria for a definitive diagnosis of a CTD. The remaining 44 patients comprised the LD-CTD group, in which the most prevalent extrathoracic features were arthralgia, gastroesophageal reflux disease, and Raynaud's phenomenon. The most prevalent autoantibodies in this group were ANA (89% and anti-SSA (anti-Ro, 27%. The mean baseline and final FVC was 69.5% and 74.0% of the predicted values, respectively (p > 0.05. Nonspecific interstitial pneumonia and usual interstitial pneumonia patterns were found in 45% and 9% of HRCT scans, respectively; 36% of the scans were unclassifiable. A similar prevalence was noted in histological samples. Diffuse esophageal dilatation was identified in 52% of HRCT scans. Nailfold capillaroscopy was performed in 22 patients; 17 showed a scleroderma pattern. CONCLUSIONS: In our LD-CTD group, there was predominance of females and the patients showed mild spirometric abnormalities at diagnosis, with differing underlying ILD patterns that were mostly unclassifiable on HRCT and by histology. We found functional stability on follow-up. Esophageal dilatation on HRCT and scleroderma pattern on nailfold capillaroscopy were frequent findings and might come to serve as diagnostic criteria.

  3. Heterozygous Pathogenic Variant in DACT1 Causes an Autosomal-Dominant Syndrome with Features Overlapping Townes–Brocks Syndrome

    Science.gov (United States)

    Webb, Bryn D.; Metikala, Sanjeeva; Wheeler, Patricia G.; Sherpa, Mingma D.; Houten, Sander M.; Horb, Marko E.; Schadt, Eric E.

    2017-01-01

    A heterozygous nonsense variant was identified in dapper, antagonist of beta-catenin, 1 (DACT1) via whole-exome sequencing in family members with imperforate anus, structural renal abnormalities, genitourinary anomalies, and/or ear anomalies. The DACT1 c.1256G>A;p.Trp419* variant segregated appropriately in the family consistent with an autosomal dominant mode of inheritance. DACT1 is a member of the Wnt-signaling pathway, and mice homozygous for null alleles display multiple congenital anomalies including absent anus with blind-ending colon and genitourinary malformations. To investigate the DACT1 c.1256G>A variant, HEK293 cells were transfected with mutant DACT1 cDNA plasmid, and immunoblotting revealed stability of the DACT1 p.Trp419* protein. Overexpression of DACT1 c.1256G>A mRNA in Xenopus embryos revealed a specific gastrointestinal phenotype of enlargement of the proctodeum. Together, these findings suggest that the DACT1 c.1256G>A nonsense variant is causative of a specific genetic syndrome with features overlapping Townes–Brocks syndrome. PMID:28054444

  4. Type II autosomal dominant osteopetrosis: radiological features in two families containing five members with asymptomatic and uncomplicated disease

    Energy Technology Data Exchange (ETDEWEB)

    Fotiadou, Anastasia; Kiriakou, Vera; Tsitouridis, Ioannis [Papageorgiou Hospital, Radiology Department, Thessaloniki (Greece); Arvaniti, Maria [Genimatas Hospital, Radiology Department, Thessaloniki (Greece)

    2009-10-15

    In this study we analysed the imaging patterns in two families containing five members with asymptomatic and uncomplicated autosomal dominant osteopetrosis (ADO II), and we report new and uncommon radiological manifestations. These findings might be useful in the context of reducing the incidence of fractures and other orthopaedic complications. Diffuse pelvic sclerosis on radiographs was observed incidentally in two patients. Both cases were asymptomatic, and the patients had never suffered a fracture. The suggestion of ADO II was raised. A detailed medical history, an imaging survey, and a haematological study were obtained so that other rare causes of osteosclerosis could be ruled out. No genetic study was conducted. All their first-degree relatives were also examined. Bony sclerosis was observed in five patients, and the radiological findings were analysed. A not previously reported thickening of the skull base without cranial nerve palsy or optic nerve atrophy was revealed in all patients. Scoliosis was present in three of them. This has been reported previously only once in ADO II. No lower limb deformity was detected. This study provided information on the pattern of radiological features in familial asymptomatic ADO II. These data on new and rare imaging findings will increase the diagnostic awareness of physicians and will guide a thorough investigation of the entire family. This might result in a consequent decrease in the incidence of fractures and other orthopaedic complications. (orig.)

  5. 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)

  6. Feature and duration of metre-scale sequences in a storm-dominated carbonate ramp setting (Kimmeridgian, northeastern Spain)

    Science.gov (United States)

    Colombié, C.; Bádenas, B.; Aurell, M.; Götz, A. E.; Bertholon, S.; Boussaha, M.

    2014-10-01

    Metre-scale sequences may result from the combined effects of allocyclic and autocyclic processes which are closely inter-related. The carbonate ramp that developed northwest of the Iberian Basin during the late Kimmeridgian was affected by northwestward migrating cyclones. Marl-limestone alternations that settled in mid-ramp environments contain abundant mm to cm thick coarse-grained accumulations that have been related to these events. The aim of this paper is to determine the impact of storm-induced processes on the metre-scale sequence features. Four sections (R3, R4, R6, and R7), which are 5 to 7 m in thickness, were studied bed-by-bed along a 4 km-long outcrop, which shows the transition between the shallow and the relatively deep realms of the middle ramp. Metre-scale sequences were defined and correlated along this outcrop according to the detailed microfacies analysis of host, fine-grained deposits, palynofacies and sequence-stratigraphic analyses, and carbon- and oxygen-isotope measurements. The evolution through time of sedimentary features such as the size of quartz grains and the relative abundance of grains other than quartz (i.e., muscovite, bivalve, ooid, and intraclast) does not correlate from one section to the other, suggesting that the finest as well as the coarsest sediment was reworked in these storm-dominated environments. Small- and medium-scale sequences are defined according to changes in alternation, marly interbed, and limestone bed thickness, and correlated from one section to the other. Because of the effects of storms on sediment distribution and preservation, sequence boundaries coincide with thin alternations and marly interbeds in the most proximal sections (i.e., R3, R4), while they correspond to thin alternations and limestone beds in the most distal sections (i.e., R6, R7). Field observations and palynofacies analyses confirm this sequence-stratigraphic analysis. The excursions in carbon- and oxygen-isotope values are consistent

  7. Analysis of syntactic and semantic features for fine-grained event-spatial understanding in outbreak news reports

    Directory of Open Access Journals (Sweden)

    Chanlekha Hutchatai

    2010-03-01

    Full Text Available Abstract Background Previous studies have suggested that epidemiological reasoning needs a fine-grained modelling of events, especially their spatial and temporal attributes. While the temporal analysis of events has been intensively studied, far less attention has been paid to their spatial analysis. This article aims at filling the gap concerning automatic event-spatial attribute analysis in order to support health surveillance and epidemiological reasoning. Results In this work, we propose a methodology that provides a detailed analysis on each event reported in news articles to recover the most specific locations where it occurs. Various features for recognizing spatial attributes of the events were studied and incorporated into the models which were trained by several machine learning techniques. The best performance for spatial attribute recognition is very promising; 85.9% F-score (86.75% precision/85.1% recall. Conclusions We extended our work on event-spatial attribute recognition by focusing on machine learning techniques, which are CRF, SVM, and Decision tree. Our approach avoided the costly development of an external knowledge base by employing the feature sources that can be acquired locally from the analyzed document. The results showed that the CRF model performed the best. Our study indicated that the nearest location and previous event location are the most important features for the CRF and SVM model, while the location extracted from the verb's subject is the most important to the Decision tree model.

  8. Analysis of syntactic and semantic features for fine-grained event-spatial understanding in outbreak news reports.

    Science.gov (United States)

    Chanlekha, Hutchatai; Collier, Nigel

    2010-03-31

    Previous studies have suggested that epidemiological reasoning needs a fine-grained modelling of events, especially their spatial and temporal attributes. While the temporal analysis of events has been intensively studied, far less attention has been paid to their spatial analysis. This article aims at filling the gap concerning automatic event-spatial attribute analysis in order to support health surveillance and epidemiological reasoning. In this work, we propose a methodology that provides a detailed analysis on each event reported in news articles to recover the most specific locations where it occurs. Various features for recognizing spatial attributes of the events were studied and incorporated into the models which were trained by several machine learning techniques. The best performance for spatial attribute recognition is very promising; 85.9% F-score (86.75% precision/85.1% recall). We extended our work on event-spatial attribute recognition by focusing on machine learning techniques, which are CRF, SVM, and Decision tree. Our approach avoided the costly development of an external knowledge base by employing the feature sources that can be acquired locally from the analyzed document. The results showed that the CRF model performed the best. Our study indicated that the nearest location and previous event location are the most important features for the CRF and SVM model, while the location extracted from the verb's subject is the most important to the Decision tree model.

  9. Semantic Web Technologies for Digital Libraries

    Directory of Open Access Journals (Sweden)

    Rajab Abd al-Hamed

    2007-09-01

    Full Text Available An article about the semantic web, it begins with defining the semantic web and its importance, then talks about the ontology relations, then the role of the semantic web in digital libraries, and its features which will serve digital libraries.

  10. Phenotypic features in autistic individuals: the finger length ratio (2D:4D), hair whorl, and hand dominance

    National Research Council Canada - National Science Library

    Aksu, Funda; Baykara, Burak; Ergın, Canem; Arman, Candan

    2013-01-01

    The aim of this study was to compare the finger length ratio (2D:4D), hair whorl direction, and hand, foot, and eye dominance in autistic and healthy individuals, and to investigate the phenotypic characteristics of autism...

  11. Towards the Semantic Web Expert System

    OpenAIRE

    Verhodubs, O; Grundspeņķis, J

    2011-01-01

    The paper presents a conception of the Semantic Web Expert System which is the logical continuation of the expert system development. The Semantic Web Expert System emerges as the result of evolution of expert system concept and it means expert system moving toward the Web and using new Semantic Web technologies. The proposed conception of the Semantic Web Expert System promises to have new useful features that distinguish it from other types of expert systems

  12. Construction Method of Webpage Semantic Concept Tree Based on Covariance Features Reptile%协方差特征爬虫网页语义概念树构建方法

    Institute of Scientific and Technical Information of China (English)

    梁武; 苏燕

    2015-01-01

    Construction method of Webpage semantic concept tree is proposed based on covariance features reptile, the de⁃cision tree algorithm of feature modeling is obtained, according to semantic trigeminal feature decision tree probability regu⁃lar training transfer rule, decision tree node set effective feature probability is obtained, the covariance feature Webpage crawler is used to design Webpage semantic concept tree construction algorithm. The covariance features reptile, rapid sep⁃aration of autocorrelation components are independent, the semantic correlation retrieval code, and the Webpage semantic concept tree construction guidance information retrieval is realized. The simulation results show that, the algorithm can ef⁃fectively realize data mining and Webpage semantic concept tree, it provides the optimal branching path for the information orientation, so as to realize the theme topic information retrieval and location accuracy, the algorithm has better Webpage recall and positioning data retrieval performance, it can improve the recall rate significantly, it has a good application value.%提出一种基于协方差特征爬虫的网页语义概念树构建方法,引入语义概念决策树算法进行主特征建模,根据语义三叉特征决策树概率正则训练迁移法则,得到决策树网络节点最近时刻获得的数据集有效特征概率,采用协方差特征网页爬虫进行网页语义概念树构建算法的改进。通过协方差特征爬虫,进行自相关成分的独立快速分离,得到语义自相关检索编码,实现网页语义概念树构建指导信息检索。仿真结果表明,该算法能有效进行数据挖掘和网页语义概念树的构建,为信息定位提供了最优分叉路径,从而实现对主题热点信息的准确检索和定位,算法具有较好的网页召回和定位检索性能,数据召回率提高明显,展示了较好的应用价值。

  13. Semantic home video categorization

    Science.gov (United States)

    Min, Hyun-Seok; Lee, Young Bok; De Neve, Wesley; Ro, Yong Man

    2009-02-01

    Nowadays, a strong need exists for the efficient organization of an increasing amount of home video content. To create an efficient system for the management of home video content, it is required to categorize home video content in a semantic way. So far, a significant amount of research has already been dedicated to semantic video categorization. However, conventional categorization approaches often rely on unnecessary concepts and complicated algorithms that are not suited in the context of home video categorization. To overcome the aforementioned problem, this paper proposes a novel home video categorization method that adopts semantic home photo categorization. To use home photo categorization in the context of home video, we segment video content into shots and extract key frames that represent each shot. To extract the semantics from key frames, we divide each key frame into ten local regions and extract lowlevel features. Based on the low level features extracted for each local region, we can predict the semantics of a particular key frame. To verify the usefulness of the proposed home video categorization method, experiments were performed with home video sequences, labeled by concepts part of the MPEG-7 VCE2 dataset. To verify the usefulness of the proposed home video categorization method, experiments were performed with 70 home video sequences. For the home video sequences used, the proposed system produced a recall of 77% and an accuracy of 78%.

  14. 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.

  15. Understanding semantics

    DEFF Research Database (Denmark)

    Thrane, Torben

    1997-01-01

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

  16. Single-cell genomics reveals features of a Colwellia species that was dominant during the Deepwater Horizon oil spill

    Directory of Open Access Journals (Sweden)

    Olivia eMason

    2014-07-01

    Full Text Available During the Deepwater Horizon (DWH oil spill in the Gulf of Mexico a deep-sea hydrocarbon plume developed resulting in a rapid succession of bacteria. Colwellia eventually supplanted Oceanospirillales, which dominated the plume early in the spill. These successional changes may have resulted, in part, from the changing composition and abundance of hydrocarbons over time. Colwellia abundance peaked when gaseous and simple aromatic hydrocarbons increased, yet the metabolic pathway used by Colwellia in hydrocarbon disposition is unknown. Here we used single-cell genomics to gain insights into the genome properties of a Colwellia enriched during the DWH deep-sea plume. A single amplified genome (SAG of a Colwellia cell isolated from a DWH plume, closely related (avg. 98% 16S rRNA gene similarity to other plume Colwellia, was sequenced and annotated. The SAG was similar to the sequenced isolate Colwellia psychrerythraea 34H (84% avg. nucleotide identity. Both had genes for denitrification, chemotaxis and motility, adaptations to cold environments, and a suite of nutrient acquisition genes. The Colwellia SAG may be capable of gaseous and aromatic hydrocarbon degradation, which contrasts with a DWH plume Oceanospirillales SAG genome which encoded non-gaseous n-alkane and cycloalkane degradation. The disparate hydrocarbon degradation pathways are consistent with hydrocarbons that were abundant at different times in the deep-sea plume; first, non-gaseous n-alkanes and cycloalkanes that could be degraded by Oceanospirillales, followed by gaseous, and simple aromatic hydrocarbons that may have been degraded by Colwellia. These insights into the genomic properties of a Colwellia species, which were supported by existing metagenomic sequence data from the plume and DWH contaminated sediments, help further our understanding of the successional changes in the dominant microbial players in the plume over the course of the DWH spill.

  17. Semantic understanding of Image content

    Directory of Open Access Journals (Sweden)

    D D Dhobale

    2011-05-01

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

  18. Semantic perception for ground robotics

    Science.gov (United States)

    Hebert, M.; Bagnell, J. A.; Bajracharya, M.; Daniilidis, K.; Matthies, L. H.; Mianzo, L.; Navarro-Serment, L.; Shi, J.; Wellfare, M.

    2012-06-01

    Semantic perception involves naming objects and features in the scene, understanding the relations between them, and understanding the behaviors of agents, e.g., people, and their intent from sensor data. Semantic perception is a central component of future UGVs to provide representations which 1) can be used for higher-level reasoning and tactical behaviors, beyond the immediate needs of autonomous mobility, and 2) provide an intuitive description of the robot's environment in terms of semantic elements that can shared effectively with a human operator. In this paper, we summarize the main approaches that we are investigating in the RCTA as initial steps toward the development of perception systems for UGVs.

  19. Automatic Spell Correction of User query with Semantic Information Retrieval and Ranking of Search Results using WordNet Approach

    Directory of Open Access Journals (Sweden)

    Kirthi J

    2011-03-01

    Full Text Available The proposed semantic information retrieval system handles the following : i automatic spell correction of user query. ii analysis and determination of the semantic feature of the content and development of a semantic pattern that represents the semantic features of the content. iii analysis of user's query and extension of implied semantics through semantic extension to identify more semantic features for matching. vi generation of contents with approximate semantics by clustering the documents and matching against the extended query to provide correct contents to the querist. v a ranking method which computes relevance of documents for actual queries by computing quantitative document-query semantic distance.

  20. Imaging features of tuberous sclerosis complex with autosomal-dominant polycystic kidney disease: a contiguous gene syndrome

    Energy Technology Data Exchange (ETDEWEB)

    Back, Susan J. [The Children' s Hospital of Philadelphia, Department of Radiology, Philadelphia, PA (United States); Andronikou, Savvas [University of the Witwatersrand, Radiology Department, Faculty of Health Sciences, Johannesburg (South Africa); Kilborn, Tracy [University of Cape Town, Red Cross War Memorial Children' s Hospital, Cape Town (South Africa); Kaplan, Bernard S. [The Children' s Hospital of Philadelphia, Division of Nephrology, Philadelphia, PA (United States); University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA (United States); Darge, Kassa [The Children' s Hospital of Philadelphia, Department of Radiology, Philadelphia, PA (United States); University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA (United States)

    2015-03-01

    Genes for tuberous sclerosis complex (TSC) type 2 and autosomal-dominant polycystic kidney disease (ADPKD) type 1 are both encoded over a short segment of chromosome 16. When deletions involve both genes, an entity known as the TSC2/ADPKD1 contiguous gene syndrome, variable phenotypes of TSC and ADPKD are exhibited. This syndrome has not been reviewed in the radiology literature. Unlike renal cysts in TSC, cystic disease in TSC2/ADPKD1 contiguous gene syndrome results in hypertension and renal failure. A radiologist might demonstrate polycystic kidney disease before the patient develops other stigmata of TSC. Conversely, in patients with known TSC, enlarged and polycystic kidneys should signal the possibility of the TSC2/ADPKD1 contiguous gene syndrome and not simply TSC. Distinguishing these diagnoses has implications in prognosis, treatment and genetic counseling. To describe the clinical and imaging findings of tuberous sclerosis complex and polycystic kidney disease in seven pediatric patients. We retrospectively reviewed renal and brain imaging of children and young adults with genetically proven or high clinical suspicion for TSC2/ADPKD1 contiguous gene syndrome. We included seven pediatric patients from two referral institutions. Ages ranged from birth to 21 years over the course of imaging. The mean follow-up period was 9 years 8 months (4 years 6 months to 20 years 6 months). No child progressed to end-stage renal disease during this period. Three patients were initially imaged for stigmata of TSC, three for abdominal distension and one for elevated serum creatinine concentration. All patients developed enlarged, polycystic kidneys. The latest available imaging studies demonstrated that in 12 of the 14 kidneys 50% or more of the parenchyma was ultimately replaced by >15 cysts, resulting in significant cortical thinning. The largest cysts in each kidney ranged from 2.4 cm to 9.3 cm. Echogenic lesions were present in 13 of the 14 kidneys, in keeping with

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

    Science.gov (United States)

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

    2009-04-01

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

  2. Generative Semantics

    Science.gov (United States)

    Bagha, Karim Nazari

    2011-01-01

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

  3. Reassessment of the succession of lactic acid bacteria in commercial cucumber fermentations and physiological and genomic features associated with their dominance.

    Science.gov (United States)

    Pérez-Díaz, I M; Hayes, J; Medina, E; Anekella, K; Daughtry, K; Dieck, S; Levi, M; Price, R; Butz, N; Lu, Z; Azcarate-Peril, M A

    2017-05-01

    A compositional re-assessment of the microbiota present in commercial cucumber fermentation using culture independent and dependent methods was conducted, with emphasis on lactic acid bacteria (LAB). Two commercial cucumber fermentation tanks were monitored by measuring pH, dissolved oxygen and temperature, and used as sources of samples for microbial plating, genomic DNA extraction and measurement of organic acids and carbohydrates by HPLC. Six additional commercial tanks were included to identify the dominant microorganisms using molecular methods. A comparative analysis of the publically available genome sequences corresponding to the LAB found in cucumber fermentations was completed to gain an understanding of genomic features possibly enabling dominance. Analyses of the microbiota suggest Lactobacillales prevail in cucumber fermentations, including in order of prevalence Lactobacillus pentosus, Lb. plantarum, Lb. brevis, Weissella spp., Pediococcus ethanolidurans, Leuconostoc spp. and Lactococcus spp. It was observed that Lb. pentosus and Lb. plantarum have comparatively larger genomes, higher gene counts, uniquely distribute the ribosomal clusters across the genome as opposed to close to the origin of replication, and possess more predicted amino acids prototrophies and selected biosynthesis related genes. It is theorized that Lb. pentosus and Lb. plantarum dominance in cucumber fermentations is the result of their genetic make-up. Published by Elsevier Ltd.

  4. Semantics vs Pragmatics of a Compound Word

    Science.gov (United States)

    Smirnova, Elena A.; Biktemirova, Ella I.; Davletbaeva, Diana N.

    2016-01-01

    This paper is devoted to the study of correlation between semantic and pragmatic potential of a compound word, which functions in informal speech, and the mechanisms of secondary nomination, which realizes the potential of semantic-pragmatic features of colloquial compounds. The relevance and the choice of the research question is based on the…

  5. TRECVid Semantic Indexing of Video: A 6-year Retrospective

    NARCIS (Netherlands)

    G. Awad; C.G.M. Snoek; A.F. Smeaton; G. Quénot

    2016-01-01

    Semantic indexing, or assigning semantic tags to video samples, is a key component for content-based access to video documents and collections. The Semantic Indexing task has been run at TRECVid from 2010 to 2015 with the support of NIST and the Quaero project. As with the previous High-Level Featur

  6. Additivity dominance

    Directory of Open Access Journals (Sweden)

    Paul Rozin

    2009-10-01

    Full Text Available Judgments of naturalness of foods tend to be more influenced by the process history of a food, rather than its actual constituents. Two types of processing of a ``natural'' food are to add something or to remove something. We report in this study, based on a large random sample of individuals from six countries (France, Germany, Italy, Switzerland, UK and USA that additives are considered defining features of what makes a food not natural, whereas ``subtractives'' are almost never mentioned. In support of this, skim milk (with major subtraction of fat is rated as more natural than whole milk with a small amount of natural vitamin D added. It is also noted that ``additives'' is a common word, with a synonym reported by a native speaker in 17 of 18 languages, whereas ``subtractive'' is lexicalized in only 1 of the 18 languages. We consider reasons for additivity dominance, relating it to omission bias, feature positive bias, and notions of purity.

  7. 基于语义矩阵反馈的多特征融合三维模型检索方法%3D model retrieval method with multi-feature fusion based on semantic matrix feedback

    Institute of Scientific and Technical Information of China (English)

    胡敏; 罗珣; 马韵洁

    2012-01-01

    为解决相关反馈三维模型检索方法存在用户不能确定模型是否相似的问题,提出了一种基于语义矩阵反馈的多特征融合三维模型检索方法.首先,采用形状分布和球面调和两种特征提取算法进行多特征提取.然后,对每种特征进行检索计算,将得到的相似度进行基于语义的反馈,根据反馈结果对不同特征分配不同的权值.最后,对迭代反馈结果的权求和得到检索模型的相似度.实验结果表明,本方法的检索结果比用单一的特征提取方法得到的结果准确.%When the relevance feedback method is used to retrieve the 3D model, it has the problem that the user unclear whether the models are similar or not similar. In order to solve this problem, an integrated method of 3D model retrieval is proposed which based on the combination of semantic matrix feedback and feature. Firstly, 3D model features are extracted by using shape distributions and spherical harmonics methods. Then these features similarity of the 3D mod-els are involved to calculate the assessment weights. These assessment weights are combined with semantic matrix feed-back in the 3D model retrieval. Finally, the similarity of the 3D models is calculated based on the iterative feedback result. The experiment results show that this method is more accurate than the single feature extraction method.

  8. Semantic segmentation of multispectral overhead imagery

    Science.gov (United States)

    Prasad, Lakshman; Pope, Paul A.; Sentz, Kari

    2016-05-01

    Land cover classification uses multispectral pixel information to separate image regions into categories. Image segmentation seeks to separate image regions into objects and features based on spectral and spatial image properties. However, making sense of complex imagery typically requires identifying image regions that are often a heterogeneous mixture of categories and features that constitute functional semantic units such as industrial, residential, or commercial areas. This requires leveraging both spectral classification and spatial feature extraction synergistically to synthesize such complex but meaningful image units. We present an efficient graphical model for extracting such semantically cohesive regions. We employ an initial hierarchical segmentation of images into features represented as nodes of an attributed graph that represents feature properties as well as their adjacency relations with other features. This provides a framework to group spectrally and structurally diverse features, which are nevertheless semantically cohesive, based on user-driven identifications of features and their contextual relationships in the graph. We propose an efficient method to construct, store, and search an augmented graph that captures nonadjacent vicinity relationships of features. This graph can be used to query for semantic notional units consisting of ontologically diverse features by constraining it to specific query node types and their indicated/desired spatial interaction characteristics. User interaction with, and labeling of, initially segmented and categorized image feature graph can then be used to learn feature (node) and regional (subgraph) ontologies as constraints, and to identify other similar semantic units as connected components of the constraint-pruned augmented graph of a query image.

  9. Neural substrates of semantic memory.

    Science.gov (United States)

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

    2007-09-01

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

  10. Exploiting Document Level Semantics in Document Clustering

    Directory of Open Access Journals (Sweden)

    Muhammad Rafi

    2016-06-01

    Full Text Available Document clustering is an unsupervised machine learning method that separates a large subject heterogeneous collection (Corpus into smaller, more manageable, subject homogeneous collections (clusters. Traditional method of document clustering works around extracting textual features like: terms, sequences, and phrases from documents. These features are independent of each other and do not cater meaning behind these word in the clustering process. In order to perform semantic viable clustering, we believe that the problem of document clustering has two main components: (1 to represent the document in such a form that it inherently captures semantics of the text. This may also help to reduce dimensionality of the document and (2 to define a similarity measure based on the lexical, syntactic and semantic features such that it assigns higher numerical values to document pairs which have higher syntactic and semantic relationship. In this paper, we propose a representation of document by extracting three different types of features from a given document. These are lexical , syntactic and semantic features. A meta-descriptor for each document is proposed using these three features: first lexical, then syntactic and in the last semantic. A document to document similarity matrix is produced where each entry of this matrix contains a three value vector for each lexical , syntactic and semantic . The main contributions from this research are (i A document level descriptor using three different features for text like: lexical, syntactic and semantics. (ii we propose a similarity function using these three, and (iii we define a new candidate clustering algorithm using three component of similarity measure to guide the clustering process in a direction that produce more semantic rich clusters. We performed an extensive series of experiments on standard text mining data sets with external clustering evaluations like: FMeasure and Purity, and have obtained

  11. 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

  12. Structured Operational Semantics for Graph Rewriting

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    T. Heindel

    2012-01-01

    Full Text Available Process calculi and graph transformation systems provide models of reactive systems with labelled transition semantics (LTS. While the semantics for process calculi is compositional, this is not the case for graph transformation systems, in general. Hence, the goal of this article is to obtain a compositional semantics for graph transformation system in analogy to the structural operational semantics (SOS for Milner's Calculus of Communicating Systems (CCS. The paper introduces an SOS style axiomatization of the standard labelled transition semantics for graph transformation systems that is based on the idea of minimal reaction contexts as labels, due to Leifer and Milner. In comparison to previous work on inductive definitions of similarly derived LTSs, the main feature of the proposed axiomatization is a composition rule that captures the communication of sub-systems so that it can feature as a counterpart to the communication rule of CCS.

  13. Dominance in domestic dogs

    NARCIS (Netherlands)

    Borg, Van Der J.A.M.; Schilder, M.B.H.; Vinke, C.M.; Vries, De Han; Petit, Odile

    2015-01-01

    A dominance hierarchy is an important feature of the social organisation of group living animals. Although formal and/or agonistic dominance has been found in captive wolves and free-ranging dogs, applicability of the dominance concept in domestic dogs is highly debated, and quantitative data are

  14. Dominance in domestic dogs

    NARCIS (Netherlands)

    Borg, Van Der J.A.M.; Schilder, M.B.H.; Vinke, C.M.; Vries, De Han; Petit, Odile

    2015-01-01

    A dominance hierarchy is an important feature of the social organisation of group living animals. Although formal and/or agonistic dominance has been found in captive wolves and free-ranging dogs, applicability of the dominance concept in domestic dogs is highly debated, and quantitative data are

  15. 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.

  16. Inquisitive semantics and pragmatics

    NARCIS (Netherlands)

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

    2009-01-01

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

  17. 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.

  18. 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.

  19. Semantic Richness Effects in Syntactic Classification: The Role of Feedback

    Science.gov (United States)

    Yap, Melvin J.; Pexman, Penny M.

    2016-01-01

    Words with richer semantic representations are recognized faster across a range of lexical processing tasks. The most influential account of this finding is based on the idea that semantic richness effects are mediated by feedback from semantic-level to lower-level representations. In an earlier lexical decision study, Yap et al. (2015) tested this claim by examining the joint effects of stimulus quality and four semantic richness dimensions (imageability, number of features, semantic neighborhood density, semantic diversity). The results of that study showed that joint effects of stimulus quality and richness were generally additive, consistent with the idea that semantic feedback does not typically reach the earliest levels of representation in lexical decision. The present study extends this earlier work by investigating the joint effects of stimulus quality and the same four semantic richness dimensions on syntactic classification performance (is this a noun or verb?), which places relatively more emphasis on semantic processing. Additive effects of stimulus quality and richness were found for two of the four targeted dimensions (concreteness, number of features) while semantic neighborhood density and semantic diversity did not seem to influence syntactic classification response times. These findings provide further support against the view that semantic information reaches early letter-level processes. PMID:27695431

  20. 英汉非原型被动句的句法语义特征探析%An Analysis of Syntactic and Semantic Features of Non-Prototype Passive Sentences in English and Chinese

    Institute of Scientific and Technical Information of China (English)

    刘芬; 白解红

    2011-01-01

    语言学界对英汉原型和非原型被动句分别有过比较充分的描述,但是,对被动句的演变过程及非原型被动句的句法语义特征的研究还未得到应有的重视。本文将英汉非原型和原型被动句纳入一个统一的认知框架中,从非范畴化的视角,揭示英汉非原型被动句的非范畴化成分和类型,探讨其句法语义特征及认知理据。研究表明:非原型被动句对原型被动句的偏离主要表现为主语和谓语动词的非范畴化及信息焦点的转移;这种句法结构和语义的偏离是由人类对事件或现象的不同识解及对同一语义内容的不同凸显所引起的。%While the prototype and non-prototype passive sentences in English and Chinese have been broadly discussed in the linguistic field,not enough attention has been paid to the evolvement of the passive sentences,or the syntactic and semantic features of its non-prototype.From the perspective of decategorization,this paper,bringing the non-prototype and prototype passive sentences into a unified cognitive frame,explores the elements and types of decategorization in the non-prototype,presenting their syntactic and semantic features and cognitive motivation.Our research shows that the non-prototype passive deviation from the prototype is characterized by the decategorization of the subject and the predicate verb and the transfer of the information focus,motivated by diverse construal of the event or phenomenon and different salience for the identical semantic content.

  1. Comparison and Evaluation of Semantic Search Engines

    Directory of Open Access Journals (Sweden)

    Raheleh Dorri

    2015-02-01

    Full Text Available In this study, we evaluate the performance of five semantic search engines that are available on the web, using 45 criteria, in the form of a researcher-made checklist. Criteria provided in the checklist included both common and semantic features. Common criteria or features are those applicable to all search engines and semantic ones are those only applicable to semantic search engines. Findings show that the selected search engines do not have suitable performance and expected efficiency. DuckDuckGo, has the most points, considering regular features. Cluuz is in the second place with 20 points and Hakia with 18 points was in the third place. Lexxe and Factbites, with scores of 15 and 10 were placed in the next categories in order of their points. In semantic features, DuckDuckGo, with 10/65 points was in the first place. Hakia with 9/99 points was in the second place, and then the search engines Cluuz with 8/66 Points, Lexxe with 8/65 points and Factbites with 7/32 points were allocated to the next levels. The research results also indicated that on the whole, considering ordinary and semantic features, DuckDuckGo with 31/65 points, Cluuz with 28/66, Hakia with 27/99 points, Lexxe with 23/65 points and Factbites with 17/32 points, got the highest scores out of it.

  2. Denotational semantics in Synthetic Guarded Domain Theory

    DEFF Research Database (Denmark)

    Paviotti, Marco

    2016-01-01

    is guarded. In this thesis we show that gDTT is a natural setting to give denotational semantics of typed functional programming languages with recursion and recursive types. We formulate operational semantics and denotational semantics and prove computational adequacy entirely inside the type theory....... Furthermore, our interpretation is synthetic: types are interpreted as types in the type theory and programs as type-theoretical terms. Moreover, working directly in gDTT has advantages compared with existing set-theoretic models. Finally, this work builds the foundations for doing denotational semantics......In functional programming, features such as recursion, recursive types and general references are central. To define semantics of this kind of languages one needs to come up with certain definitions which may be non-trivial to show well-defined. This is because they are circular. Domain theory has...

  3. Semantic Richness Effects in Spoken Word Recognition: A Lexical Decision and Semantic Categorization Megastudy.

    Science.gov (United States)

    Goh, Winston D; Yap, Melvin J; Lau, Mabel C; Ng, Melvin M R; Tan, Luuan-Chin

    2016-01-01

    A large number of studies have demonstrated that semantic richness dimensions [e.g., number of features, semantic neighborhood density, semantic diversity , concreteness, emotional valence] influence word recognition processes. Some of these richness effects appear to be task-general, while others have been found to vary across tasks. Importantly, almost all of these findings have been found in the visual word recognition literature. To address this gap, we examined the extent to which these semantic richness effects are also found in spoken word recognition, using a megastudy approach that allows for an examination of the relative contribution of the various semantic properties to performance in two tasks: lexical decision, and semantic categorization. The results show that concreteness, valence, and number of features accounted for unique variance in latencies across both tasks in a similar direction-faster responses for spoken words that were concrete, emotionally valenced, and with a high number of features-while arousal, semantic neighborhood density, and semantic diversity did not influence latencies. Implications for spoken word recognition processes are discussed.

  4. Extracting Semantic Information from Visual Data: A Survey

    Directory of Open Access Journals (Sweden)

    Qiang Liu

    2016-03-01

    Full Text Available The traditional environment maps built by mobile robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on the conceptual knowledge or semantic contents of the environment. Therefore, the construction of semantic maps becomes necessary for building an effective human-robot interface for service robots. This paper reviews recent research and development in the field of visual-based semantic mapping. The main focus is placed on how to extract semantic information from visual data in terms of feature extraction, object/place recognition and semantic representation methods.

  5. CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives

    OpenAIRE

    Tao, Cui; Solbrig, Harold R; Chute, Christopher G

    2011-01-01

    The Clinical Narrative Temporal Relation Ontology (CNTRO) has been developed for the purpose of allowing temporal information of clinical data to be semantically annotated and queried, and using inference to expose new temporal features and relations based on the semantic assertions and definitions of the temporal aspects in the ontology. While CNTRO provides a formal semantic foundation to leverage the semantic-web techniques, it is still necessary to arrive at a shared set of semantics and ...

  6. 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

  7. Semantic Units Based Event Detection in Soccer Videos

    Institute of Scientific and Technical Information of China (English)

    TONGXiao-Feng; LIUQing-Shan; LUHan-Qing; JINHong-Liang

    2005-01-01

    A semantic unit based event detection scheme in soccer videos is proposed in this paper.The scheme can be characterized as a three-layer framework. At the lowest layer, low-level features including color, texture, edge, shape, and motion are extracted. High-level semantic events are defined at the highest layer. In order to connect low-level features and high-level semantics, we design and define some semantic units at the intermediate layer. A semantic unit is composed of a sequence of consecutives frames with the same cue that is deduced from low-level features. Based on semantic units, a Bayesian network is used to reason the probabilities of events. The experiments for shoot and card event detection in soccer videos show that the proposed method has an encouraging performance.

  8. Uncovering the architecture of action semantics.

    Science.gov (United States)

    Watson, Christine E; Buxbaum, Laurel J

    2014-10-01

    Despite research suggesting that stored sensorimotor information about tool use is a component of the semantic representations of tools, little is known about the action features or organizing principles that underlie this knowledge. We used methods similar to those applied in other semantic domains to examine the "architecture" of action semantic knowledge. In Experiment 1, participants sorted photographs of tools into groups according to the similarity of their associated "use" actions and rated tools on dimensions related to action. The results suggest that the magnitude of arm movement, configuration of the hand, and manner of motion during tool use play a role in determining how tools cluster in action "semantic space." In Experiment 2, we validated the architecture uncovered in Experiment 1 using an implicit semantic task for which tool use knowledge was not ostensibly relevant (blocked cyclic word-picture matching). Using stimuli from Experiment 1, we found that participants performed more poorly during blocks of trials containing tools used with similar versus unrelated actions, and the amount of semantic interference depended on the magnitude of action similarity among tools. Thus, the degree of featural overlap between tool use actions plays a role in determining the overall semantic similarity of tools.

  9. The semantic structure of gratitude

    Directory of Open Access Journals (Sweden)

    Smirnov, Alexander V.

    2016-06-01

    . The semantic universals of gratitude are grouped into the components of its semantic structure: intentional, relational, essential, and expressive. These structural elements are present in the representatives of all the nationalities who participated in the study. The men were more likely than the women to demonstrate the instrumental understanding of gratitude. The women were more likely than the men to reflect humanistic ideas of gratitude. The romantic and noble idea of gratitude was dominant in representatives of the younger generation (18-year-olds. The young adults (19-to-25-year-olds tended to demonstrate social realism to a larger extent than respondents in the other age groups. In respondents who were 26-years-old and above, humanistic assessment and collectivist values with respect to gratitude significantly decreased.

  10. Semantics in Image and Video Retrieval Systems

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Multimedia document annotation is used in traditional multimedia database systems. However, without the help of human beings, it is very difficult to extract the semantic content of multimedia automatically. On the other hand, it is a tedious job to annotate multimedia documents in large databases one by one manually. This paper first introduces a method to construct a semantic network on top of a multimedia database. Second, a useful and efficient annotation strategy is presented based on the framework to obtain an accurate and rapid annotation of any multimedia databases. Third, two methods of joint similarity measures for semantic and low-level features are evaluated.

  11. Demonstrating the Qualitative Differences between Semantic Aphasia and Semantic Dementia: A Novel Exploration of Nonverbal Semantic Processing

    Directory of Open Access Journals (Sweden)

    Krist A. Noonan

    2013-01-01

    Full Text Available Semantic dementia (SD implicates the anterior temporal lobes (ATL as a critical substrate for semantic memory. Multi-modal semantic impairment can also be a feature of post-stroke aphasia (referred to here as “semantic aphasia” or SA where patients show impaired regulatory control accompanied by lesions to the frontal and/or temporo-parietal cortices, and thus the two patient groups demonstrate qualitatively different patterns of semantic impairment [1]. Previous comparisons of these two patient groups have tended to focus on verbal receptive tasks. Accordingly, this study investigated nonverbal receptive abilities via a comparison of reality decision judgements in SD and SA. Pictures of objects were presented alongside non-real distracters whose features were altered to make them more/less plausible for the semantic category. The results highlighted a number of critical differences between the two groups. Compared to SD patients, SA patients: (1 were relatively unimpaired on the two alternative forced choice (2AFC decisions despite showing a comparable degree of semantic impairment on other assessments; (2 showed minimal effects of the plausibility manipulation; (3 were strongly influenced by variations in the regulatory requirements of tasks; and (4 exhibited a reversed effect of familiarity–i.e., better performance on less commonly encountered items. These results support a distinction between semantic impairments which arise from impaired regulatory processes (e.g., SA versus those where degraded semantic knowledge is the causal factor (e.g., SD. SA patients performed relatively well because the task structure reduced the requirement for internally generated control. In contrast, SD patients performed poorly because their degraded knowledge did not allow the fine-grained distinctions required to complete the task.

  12. Modeling the Relationship between Texture Semantics and Textile Images

    Directory of Open Access Journals (Sweden)

    Xiaohui Wang

    2011-09-01

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

  13. Thalamic semantic paralexia

    Directory of Open Access Journals (Sweden)

    Michael Hoffmann

    2012-03-01

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

  14. Thalamic semantic paralexia

    Science.gov (United States)

    Hoffmann, Michael

    2012-01-01

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

  15. Study of microblog sentiment analysis based on semantic feature%基于语义特征的微博情感分析研究

    Institute of Scientific and Technical Information of China (English)

    宁慧; 杨松; 赵勇; 徐丽

    2016-01-01

    针对在微博情感分析中没有有效地构造情感词典的方法问题,提出基于《同义词词林》和微博检索系统的情感词典的构造方法.利用《同义词词林》对4部基础情感词典进行扩展形成一部情感词典,利用点互信息(PMI)公式计算情感词语的情感倾向值.针对情感分析中特征选择的问题,利用不同的特征组合通过对比实验选取了有效的特征组合.实验证明,构造的情感词典和选择的特征组合有效,能够明显提高微博情感分析的质量.%For there is no effective method to construct the sentiment dictionary in the microblog sentiment analysis, this paper proposed a method for constructing the sentiment dictionary based on the Synonym Thesaurus and microb?log index system. The method uses the Synonym Thesaurus to extend the four basic sentiment dictionaries, forming a sentiment dictionary, and uses the pointwise mutual information( PMI) formula to calculate the sentiment tenden?cy value of sentiment words. For the problem of feature selection in sentiment analysis, the effective feature combi?nation is selected by comparing different feature combinations. Experiments show that the structure of the sentiment dictionary and the selection of the feature combination are effective, significantly improving the quality of microblog sentiment analysis.

  16. A Hierarchical Clustering Method Based on the Threshold of Semantic Feature in Big Data%大数据中一种基于语义特征阈值的层次聚类方法

    Institute of Scientific and Technical Information of China (English)

    罗恩韬; 王国军

    2015-01-01

    云计算、健康医疗、街景地图服务、推荐系统等新兴服务促使数据的种类和规模以前所未有的速度增长,数据量的激增会导致很多共性问题.例如数据的可表示,可处理和可靠性问题.如何有效处理和分析数据之间的关系,提高数据的划分效率,建立数据的聚类分析模型,已经成为学术界和企业界共同亟待解决的问题.该文提出一种基于语义特征的层次聚类方法,首先根据数据的语义特征进行训练,然后在每个子集上利用训练结果进行层次聚类,最终产生整体数据的密度中心点,提高了数据聚类效率和准确性.此方法采样复杂度低,数据分析准确,易于实现,具有良好的判定性.%The type and scale of data has been promoted with a hitherto unknown speed by the emerging services including cloud computing, health care, street view services recommendation system and so on. However, the surge in the volume of data may lead to many common problems, such as the representability, reliability and handlability of data. Therefore, how to effectively handle the relationship between the data and the analysis to improve the efficiency of classification of the data and establish the data clustering analysis model has become an academic and business problem, which needs to be solved urgently. A hierarchical clustering method based on semantic feature is proposed. Firstly, the data should be trained according to the semantic features of data, and then is used the training result to process hierarchical clustering in each subset; finally, the density center point is produced. This method can improve the efficiency and accuracy of data clustering. This algorithm is of low complexity about sampling, high accuracy of data analysis and good judgment. Furthermore, the algorithm is easy to realize.

  17. Semantic networks of English.

    Science.gov (United States)

    Miller, G A; Fellbaum, C

    1991-12-01

    Principles of lexical semantics developed in the course of building an on-line lexical database are discussed. The approach is relational rather than componential. The fundamental semantic relation is synonymy, which is required in order to define the lexicalized concepts that words can be used to express. Other semantic relations between these concepts are then described. No single set of semantic relations or organizational structure is adequate for the entire lexicon: nouns, adjectives, and verbs each have their own semantic relations and their own organization determined by the role they must play in the construction of linguistic messages.

  18. Semantic Text Indexing

    Directory of Open Access Journals (Sweden)

    Zbigniew Kaleta

    2014-01-01

    Full Text Available This article presents a specific issue of the semantic analysis of texts in natural language – text indexing and describes one field of its application (web browsing.The main part of this article describes the computer system assigning a set of semantic indexes (similar to keywords to a particular text. The indexing algorithm employs a semantic dictionary to find specific words in a text, that represent a text content. Furthermore it compares two given sets of semantic indexes to determine texts’ similarity (assigning numerical value. The article describes the semantic dictionary – a tool essentialto accomplish this task and its usefulness, main concepts of the algorithm and test results.

  19. Coherent branching feature bisimulation

    NARCIS (Netherlands)

    T. Belder (Tessa); M.H. ter Beek (Maurice); E.P. de Vink (Erik Peter)

    2015-01-01

    textabstractProgress in the behavioral analysis of software product lines at the family level benefits from further development of the underlying semantical theory. Here, we propose a behavioral equivalence for feature transition systems (FTS) generalizing branching bisimulation for labeled

  20. A Survey on Semantic Web Search Engine

    Directory of Open Access Journals (Sweden)

    G.Sudeepthi

    2012-03-01

    Full Text Available The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now a days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. The Semantic Web is an extension of the current web in which information is given well-defined meaning. Semantic web technologies are playing a crucial role in enhancing traditional web search, as it is working to create machine readable data. but it will not replace traditional search engine. In this paper we made a brief survey on various promising features of some of the best semantic search engines developed so far and we have discussed the various approaches to semantic search. We have summarized the techniques, advantages of some important semantic web search engines that are developed so far.The most prominent part is that how the semantic search engines differ from the traditional searches and their results are shown by giving a sample query as input

  1. 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.

  2. Lexical Semantics and Irregular Inflection

    Science.gov (United States)

    Huang, Yi Ting; Pinker, Steven

    2010-01-01

    Whether a word has an irregular inflection does not depend on its sound alone: compare lie-lay (recline) and lie-lied (prevaricate). Theories of morphology, particularly connectionist and symbolic models, disagree on which nonphonological factors are responsible. We test four possibilities: (1) Lexical effects, in which two lemmas differ in whether they specify an irregular form; (2) Semantic effects, in which the semantic features of a word become associated with regular or irregular forms; (3) Morphological structure effects, in which a word with a headless structure (e.g., a verb derived from a noun) blocks access to a stored irregular form; (4) Compositionality effects, in which the stored combination of an irregular word’s meaning (e.g., the verb’s inherent aspect) with the meaning of the inflection (e.g., pastness) doesn’t readily transfer to new senses with different combinations of such meanings. In four experiments, speakers were presented with existing and novel verbs and asked to rate their past-tense forms, semantic similarities, grammatical structure, and aspectual similarities. We found (1) an interaction between semantic and phonological similarity, coinciding with reported strategies of analogizing to known verbs and implicating lexical effects; (2) weak and inconsistent effects of semantic similarity; (3) robust effects of morphological structure, and (4) robust effects of aspectual compositionality. Results are consistent with theories of language that invoke lexical entries and morphological structure, and which differentiate the mode of storage of regular and irregular verbs. They also suggest how psycholinguistic processes have shaped vocabulary structure over history. PMID:21151703

  3. Clinical features of right temporal lobe variant of semantic dementia%右侧颞叶变异型语义性痴呆的临床特征分析

    Institute of Scientific and Technical Information of China (English)

    葛芳芳; 张振馨; 李延峰; 崔瑞雪; 袁晶; 侯波; 冯逢

    2014-01-01

    ,stereotypy,compulsive behaviors were more prevalent in early course for patients with RTLV,which were different from SD patients with semantic loss began with anomia or single-word comprehension.18F-FDG-PET scan showed decreased metabolism mainly in right temporal lobe and in other brain regions with varying degrees.Conclusions The RTLV is clinical heterogeneous.Prosopagnosia,behavioral changes and getting lost are the main features in the early course.It therefore,might be proposed a separate clinical entity.

  4. When the Social Meets the Semantic: Social Semantic Web or Web 2.5

    Directory of Open Access Journals (Sweden)

    Salvatore F. Pileggi

    2012-09-01

    Full Text Available The social trend is progressively becoming the key feature of current Web understanding (Web 2.0. This trend appears irrepressible as millions of users, directly or indirectly connected through social networks, are able to share and exchange any kind of content, information, feeling or experience. Social interactions radically changed the user approach. Furthermore, the socialization of content around social objects provides new unexplored commercial marketplaces and business opportunities. On the other hand, the progressive evolution of the web towards the Semantic Web (or Web 3.0 provides a formal representation of knowledge based on the meaning of data. When the social meets semantics, the social intelligence can be formed in the context of a semantic environment in which user and community profiles as well as any kind of interaction is semantically represented (Semantic Social Web. This paper first provides a conceptual analysis of the second and third version of the Web model. That discussion is aimed at the definition of a middle concept (Web 2.5 resulting in the convergence and integration of key features from the current and next generation Web. The Semantic Social Web (Web 2.5 has a clear theoretical meaning, understood as the bridge between the overused Web 2.0 and the not yet mature Semantic Web (Web 3.0.

  5. 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

  6. Towards semantic web mining

    OpenAIRE

    Berendt, Bettina; Hotho, Andreas; Stumme, Gerd

    2002-01-01

    Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

  7. 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

  8. 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

  9. 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

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

    Science.gov (United States)

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

    2016-09-08

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

  11. The semantic richness of abstract concepts.

    Science.gov (United States)

    Recchia, Gabriel; Jones, Michael N

    2012-01-01

    We contrasted the predictive power of three measures of semantic richness-number of features (NFs), contextual dispersion (CD), and a novel measure of number of semantic neighbors (NSN)-for a large set of concrete and abstract concepts on lexical decision and naming tasks. NSN (but not NF) facilitated processing for abstract concepts, while NF (but not NSN) facilitated processing for the most concrete concepts, consistent with claims that linguistic information is more relevant for abstract concepts in early processing. Additionally, converging evidence from two datasets suggests that when NSN and CD are controlled for, the features that most facilitate processing are those associated with a concept's physical characteristics and real-world contexts. These results suggest that rich linguistic contexts (many semantic neighbors) facilitate early activation of abstract concepts, whereas concrete concepts benefit more from rich physical contexts (many associated objects and locations).

  12. Principal semantic components of language and the measurement of meaning.

    Directory of Open Access Journals (Sweden)

    Alexei V Samsonovich

    Full Text Available Metric systems for semantics, or semantic cognitive maps, are allocations of words or other representations in a metric space based on their meaning. Existing methods for semantic mapping, such as Latent Semantic Analysis and Latent Dirichlet Allocation, are based on paradigms involving dissimilarity metrics. They typically do not take into account relations of antonymy and yield a large number of domain-specific semantic dimensions. Here, using a novel self-organization approach, we construct a low-dimensional, context-independent semantic map of natural language that represents simultaneously synonymy and antonymy. Emergent semantics of the map principal components are clearly identifiable: the first three correspond to the meanings of "good/bad" (valence, "calm/excited" (arousal, and "open/closed" (freedom, respectively. The semantic map is sufficiently robust to allow the automated extraction of synonyms and antonyms not originally in the dictionaries used to construct the map and to predict connotation from their coordinates. The map geometric characteristics include a limited number ( approximately 4 of statistically significant dimensions, a bimodal distribution of the first component, increasing kurtosis of subsequent (unimodal components, and a U-shaped maximum-spread planar projection. Both the semantic content and the main geometric features of the map are consistent between dictionaries (Microsoft Word and Princeton's WordNet, among Western languages (English, French, German, and Spanish, and with previously established psychometric measures. By defining the semantics of its dimensions, the constructed map provides a foundational metric system for the quantitative analysis of word meaning. Language can be viewed as a cumulative product of human experiences. Therefore, the extracted principal semantic dimensions may be useful to characterize the general semantic dimensions of the content of mental states. This is a fundamental step

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

    Science.gov (United States)

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

    2010-07-01

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

  14. Identifying Essential Features of Juvenile Psychopathy in the Prediction of Later Antisocial Behavior: Is There an Additive, Synergistic, or Curvilinear Role for Fearless Dominance?

    Science.gov (United States)

    Vize, Colin E; Lynam, Donald R; Lamkin, Joanna; Miller, Joshua D; Pardini, Dustin

    2016-05-01

    Despite years of research, and inclusion of psychopathy DSM-5, there remains debate over the fundamental components of psychopathy. Although there is agreement about traits related to Agreeableness and Conscientiousness, there is less agreement about traits related to Fearless Dominance (FD) or Boldness. The present paper uses proxies of FD and Self-centered Impulsivity (SCI) to examine the contribution of FD-related traits to the predictive utility of psychopathy in a large, longitudinal, sample of boys to test four possibilities: FD 1. assessed earlier is a risk factor, 2. interacts with other risk-related variables to predict later psychopathy, 3. interacts with SCI interact to predict outcomes, and 4. bears curvilinear relations to outcomes. SCI received excellent support as a measure of psychopathy in adolescence; however, FD was unrelated to criteria in all tests. It is suggested that FD be dropped from psychopathy and that future research focus on Agreeableness and Conscientiousness.

  15. 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

  16. Linguistic Semantics: An Introduction.

    Science.gov (United States)

    Lyons, John

    The book, designed as a textbook for introductory study of semantics within college-level linguistics, focuses on the study of meaning as it is systematically encoded in the vocabulary and grammar of natural languages. The term "semantics" is presumed here to include pragmatics. An introductory section explains fundamental theoretical and…

  17. Semantics of Statebuilding

    DEFF Research Database (Denmark)

    Grasten, Maj Lervad

    2016-01-01

    Book review of: Semantics of Statebuilding: Language, Meanings & Sovereignty / (eds) Nicolas Lemay-Hébert, Nicholas Onuf, Vojin Rakić, Petar Bojanić. Abingdon: Routledge, 2014. 200 pp.......Book review of: Semantics of Statebuilding: Language, Meanings & Sovereignty / (eds) Nicolas Lemay-Hébert, Nicholas Onuf, Vojin Rakić, Petar Bojanić. Abingdon: Routledge, 2014. 200 pp....

  18. The Semantic Learning Organization

    Science.gov (United States)

    Sicilia, Miguel-Angel; Lytras, Miltiadis D.

    2005-01-01

    Purpose: The aim of this paper is introducing the concept of a "semantic learning organization" (SLO) as an extension of the concept of "learning organization" in the technological domain. Design/methodology/approach: The paper takes existing definitions and conceptualizations of both learning organizations and Semantic Web technology to develop…

  19. Communication: General Semantics Perspectives.

    Science.gov (United States)

    Thayer, Lee, Ed.

    This book contains the edited papers from the eleventh International Conference on General Semantics, titled "A Search for Relevance." The conference questioned, as a central theme, the relevance of general semantics in a world of wars and human misery. Reacting to a fundamental Korzybski-ian principle that man's view of reality is distorted by…

  20. 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...

  1. Semantic Sensor Web

    Science.gov (United States)

    Sheth, A.; Henson, C.; Thirunarayan, K.

    2008-12-01

    Sensors are distributed across the globe leading to an avalanche of data about our environment. It is possible today to utilize networks of sensors to detect and identify a multitude of observations, from simple phenomena to complex events and situations. The lack of integration and communication between these networks, however, often isolates important data streams and intensifies the existing problem of too much data and not enough knowledge. With a view to addressing this problem, the Semantic Sensor Web (SSW) [1] proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual information essential for situational knowledge. Kno.e.sis Center's approach to SSW is an evolutionary one. It adds semantic annotations to the existing standard sensor languages of the Sensor Web Enablement (SWE) defined by OGC. These annotations enhance primarily syntactic XML-based descriptions in OGC's SWE languages with microformats, and W3C's Semantic Web languages- RDF and OWL. In association with semantic annotation and semantic web capabilities including ontologies and rules, SSW supports interoperability, analysis and reasoning over heterogeneous multi-modal sensor data. In this presentation, we will also demonstrate a mashup with support for complex spatio-temporal-thematic queries [2] and semantic analysis that utilize semantic annotations, multiple ontologies and rules. It uses existing services (e.g., GoogleMap) and semantics enhanced SWE's Sensor Observation Service (SOS) over weather and road condition data from various sensors that are part of Ohio's transportation network. Our upcoming plans are to demonstrate end to end (heterogeneous sensor to application) semantics support and study scalability of SSW involving thousands of sensors to about a billion triples. Keywords: Semantic Sensor Web, Spatiotemporal thematic queries, Semantic Web Enablement, Sensor Observation Service [1] Amit Sheth, Cory Henson, Satya

  2. A method for semantic-based image retrieval

    Science.gov (United States)

    Liu, Hengwen; Tong, Hengqing; Tong, Qiaoling

    2009-10-01

    The most existed content-based image retrieval systems use traditional low-level features such as color, texture and shape to describe the image content, which are usually represented by statistic data. Actually, there are big differences between these statistic data and the image content which people understand. Therefore, how to describe image and to make it coincide with people's understanding become the key point of improving retrieval accuracy. In the point of cognition, people's understanding and description of image content is on semantic level. How to reduce 'semantic gap', how to accurately represent content semantic of image and retrieval intention of people becomes important and critical. One effective ways has been proposed to solve the problem: semantic image retrieval based on ontology. In this paper a new image retrieval system based on ontology and relevant feedback was presented. The ontology was used to describe the semantic features of images and then retrieve the images.

  3. On Quantifying Semantic Information

    Directory of Open Access Journals (Sweden)

    Simon D’Alfonso

    2011-01-01

    Full Text Available The purpose of this paper is to look at some existing methods of semantic information quantification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap’s theory of semantic information before going on to look at Floridi’s theory of strongly semantic information. The latter then serves to initiate an in-depth investigation into the idea of utilising the notion of truthlikeness to quantify semantic information. Firstly, a couple of approaches to measure truthlikeness are drawn from the literature and explored, with a focus on their applicability to semantic information quantification. Secondly, a similar but new approach to measure truthlikeness/information is presented and some supplementary points are made.

  4. Features for semantic role labeling of nominal predicates in Chinese%中文名词性谓词语义角色标注的特征研究

    Institute of Scientific and Technical Information of China (English)

    徐靖; 李军辉; 朱巧明; 李培峰

    2011-01-01

    Compared to verbal predicates, the structure between nominal predicates and their roles in Semantic Role Labeling (SRL) is more flexible and complex. In this paper, some new word-related and syntactic features were explored from various nominal predicate-specific features to capture the structure information for nominal SRL. The experimental results show that the propesed nominal SRL system achieved the performance of 73.99 in Fl-measure on gold parse trees and gold predicates, and outperformed the state-of-the-art nominal SRL. However, the performance dropped to 57.16 in F1-measure on automatic parse trees and automatic predicates. Finally, the training data were augmented with verbal SRL instances to examine whether nominal SRL could benefit from verbal instances. The experimental result show, however, adding verbal SRL instances does indeed improve the performance of nominal SRL, although the improvement is not statistically significant.%在语义角色标注中,相对于动词性谓词,名词性谓词与其角色之间的结构更灵活和复杂.为了更好地捕获这些结构化信息,通过对名词性谓词语义角色标注相关特征集的研究,探索了新的单词特征和句法特征,用于名词性谓词语义角色标注.基于正确句法树和正确谓词识别,中文名词性谓词语义角色标注的F1值达到了73.99,优于目前国内外的同类系统;基于自动句法树和自动谓词识别,性能F1值为57.16.最后,讨论了使用动词性谓词的特征实例来提高名词性谓词SRL的准确率,然而性能的提高并不是很明显.

  5. Towards On-line Automated Semantic Scoring of English-Chinese Translation

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Described and exemplified a semantic scoring system of students' on-line English-Chinese translation.To achieve accurate assessment, the system adopted a comprehensive method which combines semantic scoring with keyword matching scoring. Four kinds of words-verbs, adjectives, adverbs and "the rest" including nouns, pronouns, idioms, prepositions, etc. , are identified after parsing. The system treats different words tagged with different part of speech differently. Then it calculated the semantic similarity between these words of the standard versions and those of students'translations by the distinctive differences of the semantic features of these words with the aid of HowNet. The first semantic feature of verbs and the last semantic features of adjectives and adverbs are calculated. "The rest" is scored by keyword matching. The experiment results show that the semantic scoring system is applicable in fulfilling the task of scoring students'on-line English-Chinese translations.

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

    Science.gov (United States)

    Zhao, Kexin; Song, Lixin

    2012-02-01

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

  7. A novel 3-base pair deletion of the CRYAA gene identified in a large Chinese pedigree featuring autosomal dominant congenital perinuclear cataract.

    Science.gov (United States)

    Kong, X D; Liu, N; Shi, H R; Dong, J M; Zhao, Z H; Liu, J; Li-Ling, J; Yang, Y X

    2015-01-23

    Congenital cataract is caused by reduced transparency of the lens resulting from metabolic disorders during the fetal period. The disease shows great heterogeneity both clinically and genetically. We identified a 4-generation ethnic Han Chinese family affected by autosomal dominant congenital perinuclear cataract. The patients underwent full clinical and ophthalmologic examinations to rule out any concomitant disorders. Blood samples were collected and genomic DNA was extracted. Potential mutations in the candidate gene alpha A crystallin (CRYAA) were screened. Prenatal diagnosis was then provided for a fetus of the affected proband by chorionic villus sampling. In all patients, DNA sequencing of the CRYAA gene revealed a novel 3-bp deletion mutation in exon 3 (c.246_248delCGC), which led to deletion of codon 117 encoding arginine (p.117delR) in the peptide chain. The same mutation was not found among unaffected and healthy individuals. Bioinformatic analysis revealed that although the c.246_248delCGC is an 'in-frame' mutation, removal of arginine resulted in a significant change in the protein structure. The fetus did not possess this mutation and was confirmed to be healthy at 1-year follow-up. A novel disease-causing mutation, c.246_248delCGC (p.117delR), of the CRYAA gene has been identified in a Chinese family with autosomal-type perinuclear congenital cataracts. This is also the first report of prenatal diagnosis of this type of congenital cataract.

  8. Activation of shape and semantic information during ambiguous homophone processing: eye tracking evidence from Hindi.

    Science.gov (United States)

    Mishra, Ramesh Kumar; Singh, Siddharth

    2014-11-01

    In two visual world eye tracking studies, we examined the activation of subordinate meanings of ambiguous homophones in Hindi and particularly when the sentence context is biased towards the dominant meaning. Participants listened to sentences that were either neutral or biased towards the dominant meaning of the homophone and saw a display containing four pictures. In experiment 1, the display had a shape competitor of the subordinate meaning of the homophone in both neutral and biased conditions along with three unrelated distractors. Experiment 2 had semantic competitors of the subordinate meaning of the homophones along with three distractors. Proportion of fixations to different objects overtime suggested that participants activated the subordinate meanings and oriented their attention to the shape and semantic competitors even when the prior context was biased towards the dominant meaning. Overall, these data from Hindi provide further support to those models of lexical access that assume exhaustive access of both the meanings of an ambiguous homophone. These data suggest even a dominant bias does not eliminate the activation of perceptual and conceptual features of the subordinate meaning.

  9. Action Semantics and ASF+SDF

    DEFF Research Database (Denmark)

    Mosses, Peter David

    2002-01-01

    Modularity and tool support are crucial features for practical use of formal descriptions of programming languages. The combination of unrestricted context-free grammars with action semantics allows complete language descriptions with exceptionally good modularity. Moreover, by specifying the des...... the descriptions in ASF+SDF, the ASF+SDF Meta-Environment can be used to provide appropriate tool support....

  10. AN HMM BASED ANALYSIS FRAMEWORK FOR SEMANTIC VIDEO EVENTS

    Institute of Scientific and Technical Information of China (English)

    You Junyong; Liu Guizhong; Zhang Yaxin

    2007-01-01

    Semantic video analysis plays an important role in the field of machine intelligence and pattern recognition. In this paper, based on the Hidden Markov Model (HMM), a semantic recognition framework on compressed videos is proposed to analyze the video events according to six low-level features. After the detailed analysis of video events, the pattern of global motion and five features in foreground--the principal parts of videos, are employed as the observations of the Hidden Markov Model to classify events in videos. The applications of the proposed framework in some video event detections demonstrate the promising success of the proposed framework on semantic video analysis.

  11. A Semantic Graph Query Language

    Energy Technology Data Exchange (ETDEWEB)

    Kaplan, I L

    2006-10-16

    Semantic graphs can be used to organize large amounts of information from a number of sources into one unified structure. A semantic query language provides a foundation for extracting information from the semantic graph. The graph query language described here provides a simple, powerful method for querying semantic graphs.

  12. 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

  13. 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.

  14. 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.

  15. 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:

  16. 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).

  17. Compactness theorems of fuzzy semantics

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The relationship among diverse fuzzy semantics vs. the corresponding logic consequence operators has been analyzed systematically. The results that compactness and logical compactness of fuzzy semantics are equivalent to compactness and continuity of the logic consequence operator induced by the semantics respectively have been proved under certain conditions. A general compactness theorem of fuzzy semantics have been established which says that every fuzzy semantics defined on a free algebra with members corresponding to continuous functions is compact.

  18. Semantic memory: Which side are you on?

    Science.gov (United States)

    Patterson, Karalyn; Kopelman, Michael D; Woollams, Anna M; Brownsett, Sonia L E; Geranmayeh, Fatemeh; Wise, Richard J S

    2015-09-01

    We present two patients in whom the combination of lesion site and cognitive performance was uniquely informative about the organisation and functional anatomy of semantic memory. One had had a single lobar stroke with an unusual distribution, largely destroying the whole of the left temporal lobe ventral to the superior temporal sulcus. The other patient had had herpes simplex encephalitis with destruction that was confined to the left cerebral hemisphere. The lesion again mainly encompassed the left temporal lobe, but also extended to the left inferior frontal gyrus. Cognitive outcomes in the two patients were compared with each other and with published results from patients with semantic dementia. This is because, whereas the majority of semantic dementia patients present with more prominent atrophy of the left rostroventral temporal lobe, they invariably have a degree of atrophy in the mirror region on the right that progresses. Semantic dementia therefore provides no clear evidence about the specific role of the left rostroventral temporal lobe. The two patients showed a highly consistent cognitive profile. Their deficits were also similar in many respects to that observed in patients with mild-moderate semantic dementia, including severe anomia that was not resolved by phonological cues and impairment on non-verbal as well as verbal semantic tasks. Certain key features of the semantic dementia profile, however-including sensitivity to the familiarity and typicality of the stimulus materials-appeared only in tasks requiring verbal output in these two patients with unilateral left temporal lesions. Results in these cases provide some of the first definitive evidence regarding the specific functions of the left anterior temporal lobe.

  19. Evidence of semantic processing impairments in behavioural variant frontotemporal dementia and Parkinson's disease.

    Science.gov (United States)

    Cousins, Katheryn A Q; Grossman, Murray

    2017-09-13

    Category-specific impairments caused by brain damage can provide important insights into how semantic concepts are organized in the brain. Recent research has demonstrated that disease to sensory and motor cortices can impair perceptual feature knowledge important to the representation of semantic concepts. This evidence supports the grounded cognition theory of semantics, the view that lexical knowledge is partially grounded in perceptual experience and that sensory and motor regions support semantic representations. Less well understood, however, is how heteromodal semantic hubs work to integrate and process semantic information. Although the majority of semantic research to date has focused on how sensory cortical areas are important for the representation of semantic features, new research explores how semantic memory is affected by neurodegeneration in regions important for semantic processing. Here, we review studies that demonstrate impairments to abstract noun knowledge in behavioural variant frontotemporal degeneration (bvFTD) and to action verb knowledge in Parkinson's disease, and discuss how these deficits relate to disease of the semantic selection network. Findings demonstrate that semantic selection processes are supported by the left inferior frontal gyrus (LIFG) and basal ganglia, and that disease to these regions in bvFTD and Parkinson's disease can lead to categorical impairments for abstract nouns and action verbs, respectively.

  20. Faceted Semantic Search for Personalized Social Search

    CERN Document Server

    Mas, Massimiliano Dal

    2012-01-01

    Actual social networks (like Facebook, Twitter, Linkedin, ...) need to deal with vagueness on ontological indeterminacy. In this paper is analyzed the prototyping of a faceted semantic search for personalized social search using the "joint meaning" in a community environment. User researches in a "collaborative" environment defined by folksonomies can be supported by the most common features on the faceted semantic search. A solution for the context-aware personalized search is based on "joint meaning" understood as a joint construal of the creators of the contents and the user of the contents using the faced taxonomy with the Semantic Web. A proof-of concept prototype shows how the proposed methodological approach can also be applied to existing presentation components, built with different languages and/or component technologies.

  1. Discovering Recurrent Image Semantics from Class Discrimination

    Directory of Open Access Journals (Sweden)

    Jin Jesse S

    2006-01-01

    Full Text Available Supervised statistical learning has become a critical means to design and learn visual concepts (e.g., faces, foliage, buildings, etc. in content-based indexing systems. The drawback of this approach is the need of manual labeling of regions. While several automatic image annotation methods proposed recently are very promising, they usually rely on the availability and analysis of associated text descriptions. In this paper, we propose a hybrid learning framework to discover local semantic regions and generate their samples for training of local detectors with minimal human intervention. A multiscale segmentation-free framework is proposed to embed the soft presence of discovered semantic regions and local class patterns in an image independently for indexing and matching. Based on 2400 heterogeneous consumer images with 16 semantic queries, both similarity matching based on individual index and integrated similarity matching have outperformed a feature fusion approach by 26% and 37% in average precisions, respectively.

  2. Improving Semantic Search in Digital Libraries Using Multimedia Analysis

    Directory of Open Access Journals (Sweden)

    Ilianna Kollia

    2012-04-01

    Full Text Available Semantic search of cultural content is of major importance in current digital libraries, such as in Europeana. Content metadata constitute the main features of cultural items that are analysed, mapped and used to interpret users' queries, so that the most appropriate content is selected and presented to the users. Multimedia, especially visual, analysis, has not been a main component in these developments. This paper presents a new semantic search methodology, including a query answering mechanism which meets the semantics of users' queries and enriches the answers by exploiting appropriate visual features, both local and MPEG-7, through an interweaved knowledge and machine learning based approach. An experimental study is presented, using content from the Europeana digital library, and involving both thematic knowledge and extracted visual features from Europeana images, illustrating the improved performance of the proposed semantic search approach.

  3. Categorizing words through semantic memory navigation

    Science.gov (United States)

    Borge-Holthoefer, J.; Arenas, A.

    2010-03-01

    Semantic memory is the cognitive system devoted to storage and retrieval of conceptual knowledge. Empirical data indicate that semantic memory is organized in a network structure. Everyday experience shows that word search and retrieval processes provide fluent and coherent speech, i.e. are efficient. This implies either that semantic memory encodes, besides thousands of words, different kind of links for different relationships (introducing greater complexity and storage costs), or that the structure evolves facilitating the differentiation between long-lasting semantic relations from incidental, phenomenological ones. Assuming the latter possibility, we explore a mechanism to disentangle the underlying semantic backbone which comprises conceptual structure (extraction of categorical relations between pairs of words), from the rest of information present in the structure. To this end, we first present and characterize an empirical data set modeled as a network, then we simulate a stochastic cognitive navigation on this topology. We schematize this latter process as uncorrelated random walks from node to node, which converge to a feature vectors network. By doing so we both introduce a novel mechanism for information retrieval, and point at the problem of category formation in close connection to linguistic and non-linguistic experience.

  4. Detecting syntactic and semantic anomalies in schizophrenia.

    Science.gov (United States)

    Moro, Andrea; Bambini, Valentina; Bosia, Marta; Anselmetti, Simona; Riccaboni, Roberta; Cappa, Stefano F; Smeraldi, Enrico; Cavallaro, Roberto

    2015-12-01

    One of the major challenges in the study of language in schizophrenia is to identify specific levels of the linguistic structure that might be selectively impaired. While historically a main semantic deficit has been widely claimed, results are mixed, with also evidence of syntactic impairment. This might be due to heterogeneity in materials and paradigms across studies, which often do not allow to tap into single linguistic components. Moreover, the interaction between linguistic and neurocognitive deficits is still unclear. In this study, we concentrated on syntactic and semantic knowledge. We employed an anomaly detection task including short and long sentences with either syntactic errors violating the principles of Universal Grammar, or a novel form of semantic errors, resulting from a contradiction in the computation of the whole sentence meaning. Fifty-eight patients with diagnosis of schizophrenia were compared to 30 healthy subjects. Results showed that, in patients, only the ability to identify syntactic anomaly, both in short and long sentences, was impaired. This result cannot be explained by working memory abilities or psychopathological features. These findings suggest the presence of an impairment of syntactic knowledge in schizophrenia, at least partially independent of the cognitive and psychopathological profile. On the contrary, we cannot conclude that there is a semantic impairment, at least in terms of compositional semantics abilities.

  5. FROM 3D MODEL DATA TO SEMANTICS

    Directory of Open Access Journals (Sweden)

    My Abdellah Kassimi

    2012-01-01

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

  6. SEMANTIC INTEGRATION FOR AUTOMATIC ONTOLOGY MAPPING

    Directory of Open Access Journals (Sweden)

    Siham AMROUCH

    2013-11-01

    Full Text Available In the last decade, ontologies have played a key technology role for information sharing and agents interoperability in different application domains. In semantic web domain, ontologies are efficiently used to face the great challenge of representing the semantics of data, in order to bring the actual web to its full power and hence, achieve its objective. However, using ontologies as common and shared vocabularies requires a certain degree of interoperability between them. To confront this requirement, mapping ontologies is a solution that is not to be avoided. In deed, ontology mapping build a meta layer that allows different applications and information systems to access and share their informations, of course, after resolving the different forms of syntactic, semantic and lexical mismatches. In the contribution presented in this paper, we have integrated the semantic aspect based on an external lexical resource, wordNet, to design a new algorithm for fully automatic ontology mapping. This fully automatic character features the main difference of our contribution with regards to the most of the existing semi-automatic algorithms of ontology mapping, such as Chimaera, Prompt, Onion, Glue, etc. To better enhance the performances of our algorithm, the mapping discovery stage is based on the combination of two sub-modules. The former analysis the concept’s names and the later analysis their properties. Each one of these two sub-modules is it self based on the combination of lexical and semantic similarity measures.

  7. Semantics on Translation

    Institute of Scientific and Technical Information of China (English)

    李琦

    2014-01-01

    Semantics is the study of the meanings of words and sentences. While word is the most basic unit in every language and the understanding of the word meaning is the most important problem in translation. Therefore, the analysis of semantics just provides a very direct approach to doing translation. In this paper, I’d like to focus on the three kinds of word meaning in transla- tion, the ambiguities caused by the word meaning and how to deal with such ambiguities.

  8. Additivity dominance

    OpenAIRE

    2009-01-01

    Judgments of naturalness of foods tend to be more influenced by the process history of a food, rather than its actual constituents. Two types of processing of a ``natural'' food are to add something or to remove something. We report in this study, based on a large random sample of individuals from six countries (France, Germany, Italy, Switzerland, UK and USA) that additives are considered defining features of what makes a food not natural, whereas ``subtractives'' are almost never mentioned....

  9. Semantic-Aware Co-Indexing for Image Retrieval.

    Science.gov (United States)

    Zhang, Shiliang; Yang, Ming; Wang, Xiaoyu; Lin, Yuanqing; Tian, Qi

    2015-12-01

    In content-based image retrieval, inverted indexes allow fast access to database images and summarize all knowledge about the database. Indexing multiple clues of image contents allows retrieval algorithms search for relevant images from different perspectives, which is appealing to deliver satisfactory user experiences. However, when incorporating diverse image features during online retrieval, it is challenging to ensure retrieval efficiency and scalability. In this paper, for large-scale image retrieval, we propose a semantic-aware co-indexing algorithm to jointly embed two strong cues into the inverted indexes: 1) local invariant features that are robust to delineate low-level image contents, and 2) semantic attributes from large-scale object recognition that may reveal image semantic meanings. Specifically, for an initial set of inverted indexes of local features, we utilize semantic attributes to filter out isolated images and insert semantically similar images to this initial set. Encoding these two distinct and complementary cues together effectively enhances the discriminative capability of inverted indexes. Such co-indexing operations are totally off-line and introduce small computation overhead to online retrieval, because only local features but no semantic attributes are employed for the query. Hence, this co-indexing is different from existing image retrieval methods fusing multiple features or retrieval results. Extensive experiments and comparisons with recent retrieval methods manifest the competitive performance of our method.

  10. Frame semantics-based study of verbs across medical genres.

    Science.gov (United States)

    Wandji Tchami, Ornella; L'Homme, Marie-Claude; Grabar, Natalia

    2014-01-01

    The field of medicine gathers actors with different levels of expertise. These actors must interact, although their mutual understanding is not always completely successful. We propose to study corpora (with high and low levels of expertise) in order to observe their specificities. More specifically, we perform a contrastive analysis of verbs, and of the syntactic and semantic features of their participants, based on the Frame Semantics framework and the methodology implemented in FrameNet. In order to achieve this, we use an existing medical terminology to automatically annotate the semantics classes of participants of verbs, which we assume are indicative of semantics roles. Our results indicate that verbs show similar or very close semantics in some contexts, while in other contexts they behave differently. These results are important for studying the understanding of medical information by patients and for improving the communication between patients and medical doctors.

  11. 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

  12. Translation of Motions Events:Retention and Conversion of Semantic Features%运动事件的翻译:语义特征的保留与转换研究--以《红楼梦》诗词英译为例

    Institute of Scientific and Technical Information of China (English)

    董银燕

    2016-01-01

    基于Talmy 的运动事件框架和词汇化模式研究,以杨宪益、戴乃迭和霍克斯的《红楼梦》诗词的译文为例,以方式、结果、路径和物像等特征为着眼点,探讨运动事件翻译过程中的语义特征保留与转换。研究发现,译者采用了不同的原文解析方式,以动词为中心重组译文,突显不同的语义特征,从而使译文的运动事件特征呈现不同的保留度与转换度。%Based on the motion event framework and lexicalization patterns research proposed by Talmy and focused on features like pattern,result, path and image, taking the translation versions of“A Dream of Red Mansion” by Xianyi Yang & Naidie Dai and Hawks as an example, the paper tries to explore the retention and conversion of semantic features in the translation of motion events. It is found that translators adopt different analytic methods of the original texts and choose different verbs to profile semantic features, leading to the reconstruction of the original texts in English.

  13. The Effects of Semantic Mapping, Thematic Clustering, and Notebook Keeping on L2 Vocabulary Recognition and Production

    Science.gov (United States)

    Zarei, Abbas Ali; Adami, Saba

    2013-01-01

    To investigate the effects of semantic mapping, thematic clustering, and notebook keeping on L2 vocabulary recognition and production, four groups of intermediate level learners in an EFL institute in Zanjan, Iran participated in the study. Three experimental groups consisted of semantic mapping, semantic feature analysis, and vocabulary notebook…

  14. Semantically Induced Distortions of Visual Awareness in a Patient with Balint's Syndrome

    Science.gov (United States)

    Soto, David; Humphreys, Glyn W.

    2009-01-01

    We present data indicating that visual awareness for a basic perceptual feature (colour) can be influenced by the relation between the feature and the semantic properties of the stimulus. We examined semantic interference from the meaning of a colour word ("RED") on simple colour (ink related) detection responses in a patient with simultagnosia…

  15. Semantically Induced Distortions of Visual Awareness in a Patient with Balint's Syndrome

    Science.gov (United States)

    Soto, David; Humphreys, Glyn W.

    2009-01-01

    We present data indicating that visual awareness for a basic perceptual feature (colour) can be influenced by the relation between the feature and the semantic properties of the stimulus. We examined semantic interference from the meaning of a colour word ("RED") on simple colour (ink related) detection responses in a patient with simultagnosia…

  16. Modeling and Annotating the Expressive Semantics of Dance Videos

    CERN Document Server

    Kannan, Rajkumar

    2010-01-01

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

  17. The neural basis of semantic cognition: converging evidence from neuropsychology, neuroimaging and TMS.

    Science.gov (United States)

    Jefferies, Elizabeth

    2013-03-01

    Recent studies suggest that a complex, distributed neural network underpins semantic cognition. This article reviews our contribution to this emerging picture and traces the putative roles of each region within this network. Neuropsychological studies indicate that semantic cognition draws on at least two interacting components: semantic representations [degraded in semantic dementia (SD)] and control processes [deficient in patients with multimodal semantic impairment following stroke aphasia (SA)]. To explore the first component, we employed distortion-corrected functional magnetic resonance imaging (fMRI) and transcranial magnetic stimulation (TMS) in healthy volunteers: these studies convergently indicated that the anterior temporal lobes (ATLs; atrophied in SD) combine information from different modalities within an amodal semantic "hub". Regions of cortex that code specific semantic features ("spokes") also make a critical contribution to knowledge within particular categories. This network of brain regions interacts with semantic control processes reliant on left inferior frontal gyrus (LIFG), posterior middle temporal gyrus (pMTG) and inferior parietal cortices. SA patients with damage to these regions have difficulty focussing on aspects of knowledge that are relevant to the current goal or context, in both verbal and non-verbal tasks. SA patients with LIFG and temporoparietal lesions show similar deficits of semantic control, suggesting that a large-scale distributed cortical network underpins semantic control. Convergent evidence is again provided by fMRI and TMS. We separately manipulated the representational and control demands of a semantic task in fMRI, and found a dissociation within the temporal lobe: ATL was sensitive to the number of meanings retrieved, while pMTG and LIFG showed effects of semantic selection. Moreover, TMS to LIFG and pMTG produced equal disruption of tasks tapping semantic control. The next challenges are to delineate the

  18. The Semantic SPASE

    Science.gov (United States)

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

    2005-12-01

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

  19. 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.

  20. 英语处所主语小句的形成机制和主位特性%English Locative-Subject Clause:Its Formation Mechanism and Intrinsic Semantic Feature of Theme

    Institute of Scientific and Technical Information of China (English)

    张克定

    2015-01-01

    may be regarded as unmarked Theme, which is different in nature from that of its corresponding congruent clause. The unmarked Theme of ESL C may be the point of departure of the message, but, due to its own intrinsic se-mantic feature of location, it cannot be what the Rheme is about, but provides a spatial location for the state or action of the Rheme.

  1. F-OWL: An Inference Engine for Semantic Web

    Science.gov (United States)

    Zou, Youyong; Finin, Tim; Chen, Harry

    2004-01-01

    Understanding and using the data and knowledge encoded in semantic web documents requires an inference engine. F-OWL is an inference engine for the semantic web language OWL language based on F-logic, an approach to defining frame-based systems in logic. F-OWL is implemented using XSB and Flora-2 and takes full advantage of their features. We describe how F-OWL computes ontology entailment and compare it with other description logic based approaches. We also describe TAGA, a trading agent environment that we have used as a test bed for F-OWL and to explore how multiagent systems can use semantic web concepts and technology.

  2. Supporting Personal Semantic Annotations in P2P Semantic Wikis

    Science.gov (United States)

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

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

  3. Semantic Parameters of Split Intransitivity.

    Science.gov (United States)

    Van Valin, Jr., Robert D.

    1990-01-01

    This paper argues that split-intransitive phenomena are better explained in semantic terms. A semantic analysis is carried out in Role and Reference Grammar, which assumes the theory of verb classification proposed in Dowty 1979. (49 references) (JL)

  4. The semantic priming project.

    Science.gov (United States)

    Hutchison, Keith A; Balota, David A; Neely, James H; Cortese, Michael J; Cohen-Shikora, Emily R; Tse, Chi-Shing; Yap, Melvin J; Bengson, Jesse J; Niemeyer, Dale; Buchanan, Erin

    2013-12-01

    Speeded naming and lexical decision data for 1,661 target words following related and unrelated primes were collected from 768 subjects across four different universities. These behavioral measures have been integrated with demographic information for each subject and descriptive characteristics for every item. Subjects also completed portions of the Woodcock-Johnson reading battery, three attentional control tasks, and a circadian rhythm measure. These data are available at a user-friendly Internet-based repository ( http://spp.montana.edu ). This Web site includes a search engine designed to generate lists of prime-target pairs with specific characteristics (e.g., length, frequency, associative strength, latent semantic similarity, priming effect in standardized and raw reaction times). We illustrate the types of questions that can be addressed via the Semantic Priming Project. These data represent the largest behavioral database on semantic priming and are available to researchers to aid in selecting stimuli, testing theories, and reducing potential confounds in their studies.

  5. 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.

  6. Denotational Semantics of a Simple Model of Eiffel

    Institute of Scientific and Technical Information of China (English)

    瞿裕忠; 王志坚; 等

    1995-01-01

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

  7. The Semantic Analysis of the Negative Marker Meiyou

    Institute of Scientific and Technical Information of China (English)

    王雷宏

    2014-01-01

    “Meiyou”is an important negative marker in Chinese. This thesis explores the semantic features of“meiyou”in two basic negative structures, such as“meiyou + NP”and“meiyou + VP”and the concurrence of“meiyou”with aspect markers, such as“ zhe”,“le”,“guo”. This thesis insists that“meiyou + NP”and“meiyou + VP”have the same semantic structure, namely, the negative marker“meiyou”negates discrete events in both structures.

  8. Semantic Segmentation of Urban Environments into Object and Background Categories

    Science.gov (United States)

    2013-01-01

    features and inference algo- rithms. The final semantic labels are associated either with regions of an image or partition of 3D point clouds . While the...typically induced by a parti- tioning of 3D point clouds . Douillard et al. [6] consider 2D semantic mapping over street laser/image data pro- viding...4] G.J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla. Segmentation and recognition using structure from motion point clouds . In Computer Vision

  9. Flow Logics and Operational Semantics

    DEFF Research Database (Denmark)

    Nielson, Flemming; Nielson, Hanne Riis

    1998-01-01

    Flow logic is a “fast prototyping” approach to program analysis that shows great promise of being able to deal with a wide variety of languages and calculi for computation. However, seemingly innocent choices in the flow logic as well as in the operational semantics may inhibit proving the analysis...... correct. Our main conclusion is that environment based semantics is more flexible than either substitution based semantics or semantics making use of structural congruences (like alpha-renaming)....

  10. 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.

  11. The Functional Organisation of the Fronto-Temporal Language System: Evidence from Syntactic and Semantic Ambiguity

    Science.gov (United States)

    Rodd, Jennifer M.; Longe, Olivia A.; Randall, Billi; Tyler, Lorraine K.

    2010-01-01

    Spoken language comprehension is known to involve a large left-dominant network of fronto-temporal brain regions, but there is still little consensus about how the syntactic and semantic aspects of language are processed within this network. In an fMRI study, volunteers heard spoken sentences that contained either syntactic or semantic ambiguities…

  12. Causal premise semantics.

    Science.gov (United States)

    Kaufmann, Stefan

    2013-08-01

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

  13. Semantic Web status model

    CSIR Research Space (South Africa)

    Gerber, AJ

    2006-06-01

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

  14. Communication of Semantic Properties

    DEFF Research Database (Denmark)

    Lenau, Torben Anker; Boelskifte, Per

    2004-01-01

    a number of semantic properties associated with the meaning we read from the form, colour, texture and sound of the product. The purpose of working with these properties can be to make the use of the product more self-evident, to form or enhance the cultural meaning of the product and to give the product...... processes. This working paper argues for the need for a commonly accepted terminology used to communicate semantic product properties. Designers and others involved in design processes are dependent of a sharp and clear verbal communication. Search facilities in computer programs for product and material...

  15. 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

  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. 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...

  18. Semantic cognition or data mining?

    NARCIS (Netherlands)

    Borsboom, D.; Visser, I.

    2008-01-01

    We argue that neural networks for semantic cognition, as proposed by Rogers & McClelland (R&M), do not acquire semantics and therefore cannot be the basis for a theory of semantic cognition. The reason is that the neural networks simply perform statistical categorization procedures, and these do not

  19. Semantic Search of Web Services

    Science.gov (United States)

    Hao, Ke

    2013-01-01

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

  20. Semantic 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

  1. Semantic cognition or data mining?

    NARCIS (Netherlands)

    D. Borsboom; I. Visser

    2008-01-01

    We argue that neural networks for semantic cognition, as proposed by Rogers & McClelland (R&M), do not acquire semantics and therefore cannot be the basis for a theory of semantic cognition. The reason is that the neural networks simply perform statistical categorization procedures, and these do not

  2. Toward a brain-based componential semantic representation.

    Science.gov (United States)

    Binder, Jeffrey R; Conant, Lisa L; Humphries, Colin J; Fernandino, Leonardo; Simons, Stephen B; Aguilar, Mario; Desai, Rutvik H

    2016-01-01

    Componential theories of lexical semantics assume that concepts can be represented by sets of features or attributes that are in some sense primitive or basic components of meaning. The binary features used in classical category and prototype theories are problematic in that these features are themselves complex concepts, leaving open the question of what constitutes a primitive feature. The present availability of brain imaging tools has enhanced interest in how concepts are represented in brains, and accumulating evidence supports the claim that these representations are at least partly "embodied" in the perception, action, and other modal neural systems through which concepts are experienced. In this study we explore the possibility of devising a componential model of semantic representation based entirely on such functional divisions in the human brain. We propose a basic set of approximately 65 experiential attributes based on neurobiological considerations, comprising sensory, motor, spatial, temporal, affective, social, and cognitive experiences. We provide normative data on the salience of each attribute for a large set of English nouns, verbs, and adjectives, and show how these attribute vectors distinguish a priori conceptual categories and capture semantic similarity. Robust quantitative differences between concrete object categories were observed across a large number of attribute dimensions. A within- versus between-category similarity metric showed much greater separation between categories than representations derived from distributional (latent semantic) analysis of text. Cluster analyses were used to explore the similarity structure in the data independent of a priori labels, revealing several novel category distinctions. We discuss how such a representation might deal with various longstanding problems in semantic theory, such as feature selection and weighting, representation of abstract concepts, effects of context on semantic retrieval, and

  3. Broadly speaking: vocabulary in semantic dementia shifts towards general, semantically diverse words.

    Science.gov (United States)

    Hoffman, Paul; Meteyard, Lotte; Patterson, Karalyn

    2014-06-01

    One of the cardinal features of semantic dementia (SD) is a steady reduction in expressive vocabulary. We investigated the nature of this breakdown by assessing the psycholinguistic characteristics of words produced spontaneously by SD patients during an autobiographical memory interview. Speech was analysed with respect to frequency and imageability, and a recently-developed measure called semantic diversity. This measure quantifies the degree to which a word can be used in a broad range of different linguistic contexts. We used this measure in a formal exploration of the tendency for SD patients to replace specific terms with more vague and general words, on the assumption that more specific words are used in a more constrained set of contexts. Relative to healthy controls, patients were less likely to produce low-frequency, high-imageability words, and more likely to produce highly frequent, abstract words. These changes in the lexical-semantic landscape were related to semantic diversity: the highly frequent and abstract words most prevalent in the patients' speech were also the most semantically diverse. In fact, when the speech samples of healthy controls were artificially engineered such that low semantic diversity words (e.g., garage, spanner) were replaced with broader terms (e.g., place, thing), the characteristics of their speech production came to closely resemble that of SD patients. A similar simulation in which low-frequency words were replaced was less successful in replicating the patient data. These findings indicate systematic biases in the deterioration of lexical-semantic space in SD. As conceptual knowledge degrades, speech increasingly consists of general terms that can be applied in a broad range of linguistic contexts and convey less specific information.

  4. Semantator: semantic annotator for converting biomedical text to linked data.

    Science.gov (United States)

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

    2013-10-01

    More than 80% of biomedical data is embedded in plain text. The unstructured nature of these text-based documents makes it challenging to easily browse and query the data of interest in them. One approach to facilitate browsing and querying biomedical text is to convert the plain text to a linked web of data, i.e., converting data originally in free text to structured formats with defined meta-level semantics. In this paper, we introduce Semantator (Semantic Annotator), a semantic-web-based environment for annotating data of interest in biomedical documents, browsing and querying the annotated data, and interactively refining annotation results if needed. Through Semantator, information of interest can be either annotated manually or semi-automatically using plug-in information extraction tools. The annotated results will be stored in RDF and can be queried using the SPARQL query language. In addition, semantic reasoners can be directly applied to the annotated data for consistency checking and knowledge inference. Semantator has been released online and was used by the biomedical ontology community who provided positive feedbacks. Our evaluation results indicated that (1) Semantator can perform the annotation functionalities as designed; (2) Semantator can be adopted in real applications in clinical and transactional research; and (3) the annotated results using Semantator can be easily used in Semantic-web-based reasoning tools for further inference.

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

    CERN Document Server

    Denhière, Guy; Bellissens, Cédrick; Jhean, Sandra

    2008-01-01

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

  6. Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation

    DEFF Research Database (Denmark)

    This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Adaptive Multimedia Retrieval, AMR 2012, held in Copenhagen, Denmark, in October 2012. The 17 revised full papers presented were carefully reviewed and selected from numerous submissi...... submissions. The papers cover topics of state of the art contributions, features and classification, location context, language and semantics, music retrieval, and adaption and HCI....

  7. Latent semantics as cognitive components

    DEFF Research Database (Denmark)

    Petersen, Michael Kai; Mørup, Morten; Hansen, Lars Kai

    2010-01-01

    Cognitive component analysis, defined as an unsupervised learning of features resembling human comprehension, suggests that the sensory structures we perceive might often be modeled by reducing dimensionality and treating objects in space and time as linear mixtures incorporating sparsity...... and independence. In music as well as language the patterns we come across become part of our mental workspace when the bottom-up sensory input raises above the background noise of core affect, and top-down trigger distinct feelings reflecting a shift of our attention. And as both low-level semantics and our...... emotional responses can be encoded in words, we propose a simplified cognitive approach to model how we perceive media. Representing song lyrics in a vector space of reduced dimensionality using LSA, we combine bottom-up defined term distances with affective adjectives, that top-down constrain the latent...

  8. 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.

  9. Video summarization and semantics editing tools

    Science.gov (United States)

    Xu, Li-Qun; Zhu, Jian; Stentiford, Fred

    2001-01-01

    This paper describes a video summarization and semantics editing tool that is suited for content-based video indexing and retrieval with appropriate human operator assistance. The whole system has been designed with a clear focus on the extraction and exploitation of motion information inherent in the dynamic video scene. The dominant motion information has ben used explicitly for shot boundary detection, camera motion characterization, visual content variations description, and for key frame extraction. Various contributions have been made to ensure that the system works robustly with complex scenes and across different media types. A window-based graphical user interface has been designed to make the task very easy for interactive analysis and editing of semantic events and episode where appropriate.

  10. 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.

  11. Learning semantic query suggestions

    NARCIS (Netherlands)

    E. Meij; M. Bron; L. Hollink; B. Huurnink; M. de Rijke

    2009-01-01

    An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive queries that are able to return more useful search results than the original query and most popular search engines provide faci

  12. Semantically Grounded Briefings

    Science.gov (United States)

    2005-12-01

    occurring relations. AeroText and consequently AeroDAML can be tailored to particular domains through training sessions with annotated corpuses...the complexities of semantic markup by using mnemonic names for URIs, hiding unnamed intermediate objects (represented by “ GenSym ” identifiers), and

  13. 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.

  14. Semantic physical science

    Directory of Open Access Journals (Sweden)

    Murray-Rust Peter

    2012-08-01

    Full Text Available Abstract The articles in this special issue arise from a workshop and symposium held in January 2012 (Semantic Physical Science’. We invited people who shared our vision for the potential of the web to support chemical and related subjects. Other than the initial invitations, we have not exercised any control over the content of the contributed articles.

  15. Communication of Semantic Properties

    DEFF Research Database (Denmark)

    Lenau, Torben Anker; Boelskifte, Per

    2004-01-01

    processes. This working paper argues for the need for a commonly accepted terminology used to communicate semantic product properties. Designers and others involved in design processes are dependent of a sharp and clear verbal communication. Search facilities in computer programs for product and material...

  16. Down but not out in posterior cingulate cortex: Deactivation yet functional coupling with prefrontal cortex during demanding semantic cognition.

    Science.gov (United States)

    Krieger-Redwood, Katya; Jefferies, Elizabeth; Karapanagiotidis, Theodoros; Seymour, Robert; Nunes, Adonany; Ang, Jit Wei Aaron; Majernikova, Vierra; Mollo, Giovanna; Smallwood, Jonathan

    2016-11-01

    The posterior cingulate cortex (pCC) often deactivates during complex tasks, and at rest is often only weakly correlated with regions that play a general role in the control of cognition. These observations led to the hypothesis that pCC contributes to automatic aspects of memory retrieval and cognition. Recent work, however, has suggested that the pCC may support both automatic and controlled forms of memory processing and may do so by changing its communication with regions that are important in the control of cognition across multiple domains. The current study examined these alternative views by characterising the functional coupling of the pCC in easy semantic decisions (based on strong global associations) and in harder semantic tasks (matching words on the basis of specific non-dominant features). Increasingly difficult semantic decisions led to the expected pattern of deactivation in the pCC; however, psychophysiological interaction analysis revealed that, under these conditions, the pCC exhibited greater connectivity with dorsolateral prefrontal cortex (PFC), relative to both easier semantic decisions and to a period of rest. In a second experiment using different participants, we found that functional coupling at rest between the pCC and the same region of dorsolateral PFC was stronger for participants who were more efficient at semantic tasks when assessed in a subsequent laboratory session. Thus, although overall levels of activity in the pCC are reduced during external tasks, this region may show greater coupling with executive control regions when information is retrieved from memory in a goal-directed manner. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

  17. The semantics of English Borrowings in Arabic Media Language: The case of Arab Gulf States Newspapers

    Directory of Open Access Journals (Sweden)

    Anwar A. H. Al-Athwary

    2016-07-01

    Full Text Available The present paper investigates the semantics of English loanwords in Arabic media language (AML. The loanword data are collected from a number of Arab Gulf states newspapers (AGSNs. They  are analyzed semantically from the points of view of semantic change, semantic domains, and the phenomenon of synonymy resulting from lexical borrowing. The semantic analysis has revealed that AML borrowings from English occur in fifteen distinctive semantic domains. Domains that are related to terms of technical and scientific nature are found ranking much higher (9% - 18% than those domains containing nontechnical elements (1% - 8% with the computer and technology category (18% is the most dominant domain. Almost all common mechanisms of semantic change (extension, restriction, amelioration, pejoration, and metaphorical extension are found at work in the context of AML borrowings. The tendency of semantic change in the overwhelming majority of AML borrowings is towards restriction.  Factors like need, semantic similarity, and factors of social and psychological considerations (e.g. prestige, taboo seem to be the potent factors at interplay in semantic change. The first two, i.e. need and semantic similarity, are the most common reasons in most types of semantic change. The problem of synonymy lies in those loanwords that have “Arabic equivalents” in the language. The study claims that this phenomenon could be attributed to the two simultaneous processes of lexical borrowing and?ištiqa:q (the modern efforts of deriving equivalent neologisms.Keywords: loanwords, semantic change, semantic domains, synonymy, Arabic media language

  18. Domination, Eternal Domination, and Clique Covering

    Directory of Open Access Journals (Sweden)

    Klostermeyer William F.

    2015-05-01

    Full Text Available Eternal and m-eternal domination are concerned with using mobile guards to protect a graph against infinite sequences of attacks at vertices. Eternal domination allows one guard to move per attack, whereas more than one guard may move per attack in the m-eternal domination model. Inequality chains consisting of the domination, eternal domination, m-eternal domination, independence, and clique covering numbers of graph are explored in this paper.

  19. 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.

  20. Semantic knowledge fractionations: verbal propositions vs. perceptual input? Evidence from a child with Klinefelter syndrome.

    Science.gov (United States)

    Robinson, Sally J; Temple, Christine M

    2013-04-01

    This paper addresses the relative independence of different types of lexical- and factually-based semantic knowledge in JM, a 9-year-old boy with Klinefelter syndrome (KS). JM was matched to typically developing (TD) controls on the basis of chronological age. Lexical-semantic knowledge was investigated for common noun (CN) and mathematical vocabulary items (MV). Factually-based semantic knowledge was investigated for general and number facts. For CN items, JM's lexical stores were of a normal size but the volume of correct 'sensory feature' semantic knowledge he generated within verbal item descriptions was significantly reduced. He was also significantly impaired at naming item descriptions and pictures, particularly for fruit and vegetables. There was also weak object decision for fruit and vegetables. In contrast, for MV items, JM's lexical stores were elevated, with no significant difference in the amount and type of correct semantic knowledge generated within verbal item descriptions and normal naming. JM's fact retrieval accuracy was normal for all types of factual knowledge. JM's performance indicated a dissociation between the representation of CN and MV vocabulary items during development. JM's preserved semantic knowledge of facts in the face of impaired semantic knowledge of vocabulary also suggests that factually-based semantic knowledge representation is not dependent on normal lexical-semantic knowledge during development. These findings are discussed in relation to the emergence of distinct semantic knowledge representations during development, due to differing degrees of dependency upon the acquisition and representation of semantic knowledge from verbal propositions and perceptual input.

  1. Semantic-preload video model based on VOP coding

    Science.gov (United States)

    Yang, Jianping; Zhang, Jie; Chen, Xiangjun

    2013-03-01

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

  2. Social Dialect, the Semantic Barrier, and Access to Curricular Knowledge.

    Science.gov (United States)

    Corson, David

    1983-01-01

    The theory of the lexical bar is introduced, based on research in England and Australia. A semantic barrier exists in the English lexicon, separating the lexes of conservative peripheral dialects from those of dominant central dialects, producing differential educational attainment, and reproducing class-based division of labor. (MSE)

  3. Combination of Whole Genome Sequencing, Linkage and Functional Studies Implicates a Missense Mutation in Titin as a Cause of Autosomal Dominant Cardiomyopathy with Features of Left Ventricular Non-Compaction

    Science.gov (United States)

    Hooper, Charlotte; Ormondroyd, Liz; Pagnamenta, Alistair; Lise, Stefano; Salatino, Silvia; Knight, Samantha JL; Taylor, Jenny C.; Thomson, Kate L.; Arnold, Linda; Chatziefthimiou, Spyros D.; Konarev, Petr V.; Wilmanns, Matthias; Ehler, Elisabeth; Ghisleni, Andrea; Gautel, Mathias; Blair, Edward; Watkins, Hugh; Gehmlich, Katja

    2016-01-01

    Background High throughput next generation sequencing techniques have made whole genome sequencing accessible in clinical practice, however, the abundance of variation in the human genomes makes the identification of a disease-causing mutation on a background of benign rare variants challenging. Methods and Results Here we combine whole genome sequencing with linkage analysis in a three-generation family affected by cardiomyopathy with features of autosomal dominant left-ventricular non-compaction cardiomyopathy. A missense mutation in the giant protein titin is the only plausible disease-causing variant that segregates with disease amongst the eight surviving affected individuals, with interrogation of the entire genome excluding other potential causes. This A178D missense mutation, affecting a conserved residue in the second immunoglobulin-like domain of titin, was introduced in a bacterially expressed recombinant protein fragment and biophysically characterised in comparison to its wild-type counterpart. Multiple experiments, including size exclusion chromatography, small angle X-ray scattering and circular dichroism spectroscopy suggest partial unfolding and domain destabilisation in the presence of the mutation. Moreover, binding experiments in mammalian cells show that the mutation markedly impairs binding to the titin ligand telethonin. Conclusions Here we present genetic and functional evidence implicating the novel A178D missense mutation in titin as the cause of a highly penetrant familial cardiomyopathy with features of left-ventricular non-compaction. This expands the spectrum of titin’s roles in cardiomyopathies. It furthermore highlights that rare titin missense variants, currently often ignored or left un-interpreted, should be considered to be relevant for cardiomyopathies and can be identified by the approach presented here. PMID:27625337

  4. On the Unification of Process Semantics: Logical Semantics

    CERN Document Server

    Romero-Hernández, David; 10.4204/EPTCS.62.4

    2011-01-01

    We continue with the task of obtaining a unifying view of process semantics by considering in this case the logical characterization of the semantics. We start by considering the classic linear time-branching time spectrum developed by R.J. van Glabbeek. He provided a logical characterization of most of the semantics in his spectrum but, without following a unique pattern. In this paper, we present a uniform logical characterization of all the semantics in the enlarged spectrum. The common structure of the formulas that constitute all the corresponding logics gives us a much clearer picture of the spectrum, clarifying the relations between the different semantics, and allows us to develop generic proofs of some general properties of the semantics.

  5. Let us first agree on what the term "semantics" means: An unorthodox approach to an age-old debate

    CERN Document Server

    Diamant, Emanuel

    2012-01-01

    Traditionally, semantics has been seen as a feature of human language. The advent of the information era has led to its widespread redefinition as an information feature. Contrary to this praxis, I define semantics as a special kind of information. Revitalizing the ideas of Bar-Hillel and Carnap I have recreated and re-established the notion of semantics as the notion of Semantic Information. I have proposed a new definition of information (as a description, a linguistic text, a piece of a story or a tale) and a clear segregation between two different types of information - physical and semantic information. I hope, I have clearly explained the (usually obscured and mysterious) interrelations between data and physical information as well as the relation between physical information and semantic information. Consequently, usually indefinable notions of "information", "knowledge", "memory", "learning" and "semantics" have also received their suitable illumination and explanation.

  6. 文化语境下英语新词语义演变的特征%The Features of Semantic Changes of English New Words in Culture Context

    Institute of Scientific and Technical Information of China (English)

    王金杰

    2015-01-01

    随着社会的发展,人们对客观事物的认识逐步深化,观念日益更新;尤其是英语在全世界范围内的运用和推广,以及全球文化的日益趋同,英语新词大量产生。新词的产生和语义的演变都是在一定的文化语境下发生的,文化语境是决定语义变化与否的关键因素。影响英语变化的文化语境主要有科学技术的发展、互联网技术的应用、政治事件及政治人物的出现、世界经济的发展变化、新的社会价值观和生活方式的形成。从语义学的角度来看,英语新词的产生是语义在外界的影响下发生了多种变化。英语新词的语义变化特征可以归纳为语义的扩展、语义的仿拟、语义的空缺、语义的聚合几个方面。%With the social development,people have a better understanding of obj ective reality and a great change in ideology;especially,with English the world-widly used and popularized in the globalization of world cultures,so a large quantity of Eng-lish new words come into being.The existence of English new words and semantic change of new words are closely related to certain cultural context.Actually,cultural context plays a key role in semantic change of words.There are many cultural fac-tors that nfluence the change of English words,such as the rapid change of science and technology,the wide application of in-ternet,the emergence of the political events and political leaders,the change and development of world economy,the new way of thinking and lifestyles and etc.In the semantic perspective,the meanings of words change under the impact of the changing world,which contributes to the creation of English new words.The semantic change of English new words can be summarized as the expansion of meaning,the parody of meaning,the vacancy of meaning and compounding of meaning.

  7. Causality in the Semantics of Esterel: Revisited

    CERN Document Server

    Mousavi, MohammadReza

    2010-01-01

    We re-examine the challenges concerning causality in the semantics of Esterel and show that they pertain to the known issues in the semantics of Structured Operational Semantics with negative premises. We show that the solutions offered for the semantics of SOS also provide answers to the semantic challenges of Esterel and that they satisfy the intuitive requirements set by the language designers.

  8. Semantic Vector Machines

    CERN Document Server

    Vincent, Etter

    2011-01-01

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

  9. 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...

  10. In (visual) search for a new distraction: the efficiency of a novel attentional deployment versus semantic meaning regulation strategies.

    Science.gov (United States)

    Sheppes, Gal; Brady, William J; Samson, Andrea C

    2014-01-01

    Cognitive emotion regulation strategies are considered the king's highway to control affective reactions. Two broad categories of cognitive regulation are attentional deployment and semantic meaning. The basic distinctive feature between these categories is the type of conflict between regulatory and emotional processes for dominance, with an early attentional selection conflict in attentional deployment and a late appraisal selection conflict in semantic meaning. However, prior studies that tested the relative efficacy of these two regulatory categories varied the type and the degree of conflict. Our major goal was to test the relative efficacy of a novel attentional deployment strategy (visual search distraction) and a classic semantic meaning strategy (reappraisal) that have a different type of conflict but a matched degree of conflict. Specifically, visual search distraction involves a strong degree of attentional selection conflict manifested in attending subtle non-emotional features that are camouflaged within potent negative emotional stimuli. Reappraisal involves a strong degree of appraisal selection conflict manifested in construing neutral reappraisals that rely on potent negative emotional appraisals. Based on our theoretical model we hypothesized and found that visual search distraction was as effective as cognitive reappraisal in down-regulating the experience of low intensity of negative emotion (Study 1), but more effective, less effortful, and more strongly blocking emotional information processing than cognitive reappraisal when regulating high intensity (Study 2). A final study ruled out a demand characteristics explanation by showing that participants' expectations about how they should feel diverged from how they actually reported feeling following regulation (Study 3). Our findings suggest that the basic difference in the type rather than degree of conflict between attentional deployment and semantic meaning determines strategies' outcome.

  11. A Hybrid Method of Domain Lexicon Construction for Opinion Targets Extraction Using Syntax and Semantics

    Institute of Scientific and Technical Information of China (English)

    Chun LiaoChong Feng∗Sen Yang; He-Yan Huang

    2016-01-01

    Opinion targets extraction of Chinese microblogs plays an important role in opinion mining. There has been a significant progress in this area recently, especially the method based on conditional random field (CRF). However, this method only takes lexicon-related features into consideration and does not excavate the implied syntactic and semantic knowledge. We propose a novel approach which incorporates domain lexicon with groups of syntactical and semantic features. The approach acquires domain lexicon through a novel way which explores syntactic and semantic information through Part-of-Speech, dependency structure, phrase structure, semantic role and semantic similarity based on word embedding. And then we combine the domain lexicon with opinion targets extracted from CRF with groups of features for opinion targets extraction. Experimental results on COAE2014 dataset show the outperformance of the approach compared with other well-known methods on the task of opinion targets extraction.

  12. 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.

  13. Complex Semantic Networks

    Science.gov (United States)

    Teixeira, G. M.; Aguiar, M. S. F.; Carvalho, C. F.; Dantas, D. R.; Cunha, M. V.; Morais, J. H. M.; Pereira, H. B. B.; Miranda, J. G. V.

    Verbal language is a dynamic mental process. Ideas emerge by means of the selection of words from subjective and individual characteristics throughout the oral discourse. The goal of this work is to characterize the complex network of word associations that emerge from an oral discourse from a discourse topic. Because of that, concepts of associative incidence and fidelity have been elaborated and represented the probability of occurrence of pairs of words in the same sentence in the whole oral discourse. Semantic network of words associations were constructed, where the words are represented as nodes and the edges are created when the incidence-fidelity index between pairs of words exceeds a numerical limit (0.001). Twelve oral discourses were studied. The networks generated from these oral discourses present a typical behavior of complex networks and their indices were calculated and their topologies characterized. The indices of these networks obtained from each incidence-fidelity limit exhibit a critical value in which the semantic network has maximum conceptual information and minimum residual associations. Semantic networks generated by this incidence-fidelity limit depict a pattern of hierarchical classes that represent the different contexts used in the oral discourse.

  14. Combination Strategies for Semantic Role Labeling

    CERN Document Server

    Carreras, X; Marquez, L; Surdeanu, M; 10.1613/jair.2088

    2011-01-01

    This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model the inference as a meta-learning problem using discriminative classifiers. These classifiers are developed with a rich set of novel features that encode proposition and sentence-level information. To our knowledge, this is the first work that: (a) performs a thorough analysis of learning-based inference models for semantic role labeling, and (b) compares several inference strategies in this context. We evaluate the proposed inference strategies in the framework of the CoNLL-2005 shared task using only automatically-generated syntactic information. The extensive experimental evaluation and analysis indicates that all the proposed inference strategies are successful -they all outperform the current best results reported in the CoNLL-2005 evaluation exercise- but each of the proposed approaches has its advantages and disadvantages. Sev...

  15. Topics in Semantics-based Program Manipulation

    DEFF Research Database (Denmark)

    Grobauer, Bernt

    Programming is at least as much about manipulating existing code as it is about writing new code. Existing code is modified, for example to make inefficient code run faster, or to accommodate for new features when reusing code; existing code is analyzed, for example to verify certain program...... properties, or to use the analysis information for code modifications. Semanticsbased program manipulation addresses methods for program modifications and program analyses that are formally defined and therefore can be verified with respect to the programming-language semantics. This dissertation comprises...... four articles in the field of semantics-based techniques for program manipulation: three articles are about partial evaluation, a method for program specialization; the fourth article treats an approach to automatic cost analysis. Partial evaluation optimizes programs by specializing them with respect...

  16. Enhancing clinical concept extraction with distributional semantics.

    Science.gov (United States)

    Jonnalagadda, Siddhartha; Cohen, Trevor; Wu, Stephen; Gonzalez, Graciela

    2012-02-01

    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 experimented

  17. Subliminal Semantic Priming in Speech

    Science.gov (United States)

    Tillmann, Barbara; Perrin, Fabien

    2011-01-01

    Numerous studies have reported subliminal repetition and semantic priming in the visual modality. We transferred this paradigm to the auditory modality. Prime awareness was manipulated by a reduction of sound intensity level. Uncategorized prime words (according to a post-test) were followed by semantically related, unrelated, or repeated target words (presented without intensity reduction) and participants performed a lexical decision task (LDT). Participants with slower reaction times in the LDT showed semantic priming (faster reaction times for semantically related compared to unrelated targets) and negative repetition priming (slower reaction times for repeated compared to semantically related targets). This is the first report of semantic priming in the auditory modality without conscious categorization of the prime. PMID:21655277

  18. Subliminal semantic priming in speech.

    Directory of Open Access Journals (Sweden)

    Jérôme Daltrozzo

    Full Text Available Numerous studies have reported subliminal repetition and semantic priming in the visual modality. We transferred this paradigm to the auditory modality. Prime awareness was manipulated by a reduction of sound intensity level. Uncategorized prime words (according to a post-test were followed by semantically related, unrelated, or repeated target words (presented without intensity reduction and participants performed a lexical decision task (LDT. Participants with slower reaction times in the LDT showed semantic priming (faster reaction times for semantically related compared to unrelated targets and negative repetition priming (slower reaction times for repeated compared to semantically related targets. This is the first report of semantic priming in the auditory modality without conscious categorization of the prime.

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

    NARCIS (Netherlands)

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

    2011-01-01

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

  20. Improving EFL Writing through Study of Semantic Concepts in Formulaic Language

    Science.gov (United States)

    Schenck, Andrew D.; Choi, Wonkyung

    2015-01-01

    Within Asian EFL contexts such as South Korea, large class sizes, poor sources of input and an overreliance on the Grammar-Translation Method may negatively impact semantic and pragmatic development of writing content. Since formulaic language is imbued with syntactic, semantic and pragmatic linguistic features, it represents an ideal means to…

  1. 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.

  2. Towards a Semantic Grid Architecture

    OpenAIRE

    Goble, Carole

    2005-01-01

    The Semantic Grid is an extension of the current Grid in which information and services are given well defined and explicitly represented meaning, better enabling computers and people to work in cooperation. In the last few years, several projects have embraced this vision and there are already successful pioneering applications that combine the strengths of the Grid and of semantic technologies. However, the Semantic Grid currently lacks a reference architecture, or a systematic approach for...

  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. Sex-linked dominant

    Science.gov (United States)

    Inheritance - sex-linked dominant; Genetics - sex-linked dominant; X-linked dominant; Y-linked dominant ... can be either an autosomal chromosome or a sex chromosome. It also depends on whether the trait ...

  5. Reversal of the concreteness effect in semantic dementia.

    Science.gov (United States)

    Bonner, Michael F; Vesely, Luisa; Price, Catherine; Anderson, Chivon; Richmond, Lauren; Farag, Christine; Avants, Brian; Grossman, Murray

    2009-09-01

    Patients with semantic dementia (SD) have a striking impairment in semantic memory, but the basis for this deficit is unclear. We examined semantic memory for concrete and abstract verbs with a two-alternative, forced-choice measure of lexical semantic associative knowledge. Patients with SD had significantly greater difficulty with concrete verbs (z = -3.33) than with abstract verbs (z = -2.05), a "reversal of the concreteness effect" that was present in a majority of individual patients. The subgroup of SD patients with imaging had significant cortical thinning in the anterior and inferolateral portions of the temporal lobes. These areas of visual association cortex may be important for storing and processing visual features for word meaning. Moreover, poor performance with concrete relative to abstract verbs correlated with cortical thinning of the right anterior temporal lobe in SD, suggesting that this region may contribute to storing and processing visual semantic features. These observations raise the possibility that degraded visual feature knowledge contributes in part to the impaired comprehension of concrete words in SD.

  6. 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.

  7. Resource modalities in game semantics

    CERN Document Server

    Melliès, Paul-André

    2007-01-01

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

  8. 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.

  9. 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...

  10. Ontology alignment architecture for semantic sensor Web integration.

    Science.gov (United States)

    Fernandez, Susel; Marsa-Maestre, Ivan; Velasco, Juan R; Alarcos, Bernardo

    2013-09-18

    Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc. Today, with the proliferation of small communication devices with sensors that collect environmental data, semantic Web technologies are becoming closely related with sensor networks. The linking of elements from Semantic Web technologies with sensor networks has been called Semantic Sensor Web and has among its main features the use of ontologies. One of the key challenges of using ontologies in sensor networks is to provide mechanisms to integrate and exchange knowledge from heterogeneous sources (that is, dealing with semantic heterogeneity). Ontology alignment is the process of bringing ontologies into mutual agreement by the automatic discovery of mappings between related concepts. This paper presents a system for ontology alignment in the Semantic Sensor Web which uses fuzzy logic techniques to combine similarity measures between entities of different ontologies. The proposed approach focuses on two key elements: the terminological similarity, which takes into account the linguistic and semantic information of the context of the entity's names, and the structural similarity, based on both the internal and relational structure of the concepts. This work has been validated using sensor network ontologies and the Ontology Alignment Evaluation Initiative (OAEI) tests. The results show that the proposed techniques outperform previous approaches in terms of precision and recall.

  11. Ontology Alignment Architecture for Semantic Sensor Web Integration

    Directory of Open Access Journals (Sweden)

    Bernardo Alarcos

    2013-09-01

    Full Text Available Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc. Today, with the proliferation of small communication devices with sensors that collect environmental data, semantic Web technologies are becoming closely related with sensor networks. The linking of elements from Semantic Web technologies with sensor networks has been called Semantic Sensor Web and has among its main features the use of ontologies. One of the key challenges of using ontologies in sensor networks is to provide mechanisms to integrate and exchange knowledge from heterogeneous sources (that is, dealing with semantic heterogeneity. Ontology alignment is the process of bringing ontologies into mutual agreement by the automatic discovery of mappings between related concepts. This paper presents a system for ontology alignment in the Semantic Sensor Web which uses fuzzy logic techniques to combine similarity measures between entities of different ontologies. The proposed approach focuses on two key elements: the terminological similarity, which takes into account the linguistic and semantic information of the context of the entity’s names, and the structural similarity, based on both the internal and relational structure of the concepts. This work has been validated using sensor network ontologies and the Ontology Alignment Evaluation Initiative (OAEI tests. The results show that the proposed techniques outperform previous approaches in terms of precision and recall.

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

    Directory of Open Access Journals (Sweden)

    Junaid Rashid

    2016-10-01

    Full Text Available 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 day. Semantic search engines work to extract the best answer of user queries which exactly fits with it. Traditional search engines are keyword based which means that they do not know the meaning of the words which we type in our queries. Due to this reason, the semantic search engines super pass the conventional search engines because they give us meaningful and well-defined information. In this paper, we will discuss the background of Semantic searching, about semantic search engines; the technology used for the semantic search engines and some of the existing semantic search engines on various factors are compared.

  13. Semantic 3D object maps for everyday robot manipulation

    CERN Document Server

    Rusu, Radu Bogdan

    2013-01-01

    The book written by Dr. Radu B. Rusu presents a detailed description of 3D Semantic Mapping in the context of mobile robot manipulation. As autonomous robotic platforms get more sophisticated manipulation capabilities, they also need more expressive and comprehensive environment models that include the objects present in the world, together with their position, form, and other semantic aspects, as well as interpretations of these objects with respect to the robot tasks.   The book proposes novel 3D feature representations called Point Feature Histograms (PFH), as well as frameworks for the acquisition and processing of Semantic 3D Object Maps with contributions to robust registration, fast segmentation into regions, and reliable object detection, categorization, and reconstruction. These contributions have been fully implemented and empirically evaluated on different robotic systems, and have been the original kernel to the widely successful open-source project the Point Cloud Library (PCL) -- see http://poi...

  14. Presentation duration and false recall for semantic and phonological associates.

    Science.gov (United States)

    Ballardini, Nicole; Yamashita, Jill A; Wallace, William P

    2008-03-01

    Two experiments examined false recall for lists of semantically and phonologically associated words as a function of presentation duration. Veridical recall increased with long exposure durations for all lists. For semantically associated lists, false recall increased from 20-250 ms, then decreased. There was a high level of false recall with 20 ms durations for phonologically associated lists (47 and 44% for Experiments 1 and 2, respectively), which declined as duration increased. In Experiment 2, for lists presented at 20 and 50 ms rates, false recall given zero correct recall was observed frequently, suggesting that conscious recollection of studied words was not necessary for phonological false memory. Differences between phonologically and semantically associated lists were consistent with a feature integration model based on automatic initial processing of phonetic features of words.

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

    Institute of Scientific and Technical Information of China (English)

    CHU Wang; QIAN Depei

    2006-01-01

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

  16. The UMLS Semantic Network and the Semantic Web.

    Science.gov (United States)

    Kashyap, Vipul

    2003-01-01

    The Unified Medical Language System is an extensive source of biomedical knowledge developed and maintained by the US National Library of Medicine (NLM) and is being currently used in a wide variety of biomedical applications. The Semantic Network, a component of the UMLS is a structured description of core biomedical knowledge consisting of well defined semantic types and relationships between them. We investigate the expressiveness of DAML+OIL, a markup language proposed for ontologies on the Semantic Web, for representing the knowledge contained in the Semantic Network. Requirements specific to the Semantic Network, such as polymorphic relationships and blocking relationship inheritance are discussed and approaches to represent these in DAML+OIL are presented. Finally, conclusions are presented along with a discussion of ongoing and future work.

  17. Semantics and the crowd

    Institute of Scientific and Technical Information of China (English)

    Mark GREAVES

    2012-01-01

    One of the principal scientific challenges that drives my group is to understand the character of formal knowledge on the Web.By formal knowledge,I mean information that is represented on the Web in something other than natural language text—typically,as machine-readable Web data with a formal syntax and a specific,intended semantics.The Web provides a major counterpoint to our traditional artificial intelligence (AI) based accounts of formal knowledge.Most symbolic AI systems are designed to address sophisticated logical inference over coherent conceptual knowledge,and thus the underlying research is focused on characterizing formal properties such as entailment relations,time/space complexity of inference,monotonicity,and expressiveness.In contrast,the Semantic Web allows us to explore formal knowledge in a very different context,where data representations exist in a constantly changing,large-scale,highly distributed network of looselyconnected publishers and consumers,and are governed by a Web-derived set of social practices for discovery,trust,reliability,and use.We are particularly interested in understanding how large-scale Semantic Web data behaves over longer time periods:the way by which its producers and consumers shift their requirements over time;how uniform resource identifiers (URIs) are used to dynamically link knowledge together;and the overall lifecycle of Web data from publication,to use,integration with other knowledge,evolution,and eventual deprecation.We believe that understanding formal knowledge in this Web context is the key to bringing existing AI insights and knowledge bases to the level of scale and utility of the current hypertext Web.

  18. Universal semantic communication

    CERN Document Server

    Juba, Brendan

    2011-01-01

    Is meaningful communication possible between two intelligent parties who share no common language or background? In this work, a theoretical framework is proposed in which it is possible to address when and to what extent such semantic communication is possible: such problems can be rigorously addressed by explicitly focusing on the goals of the communication. Under this framework, it is possible to show that for many goals, communication without any common language or background is possible using universal protocols. This work should be accessible to anyone with an undergraduate-level knowled

  19. Semantic Web Development

    Science.gov (United States)

    2006-09-01

    the information out of various types of EXIF digital camera files and show it in a reasonably consistent way (schema), 2003. http://www.w3.org/2000...many documents are not expressible in logica at all, and many in logic but not in N3. However, we are building a system for which a prime goal is the...demonstrate that conventional logica programming tools are efficent and straightforwradly adapted to semantic web work. • Jena RDF toolkit now accepts N3 as

  20. Semantic and Process Interoperability

    Directory of Open Access Journals (Sweden)

    Félix Oscar Fernández Peña

    2010-05-01

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

  1. The Semantics of "Violence"

    DEFF Research Database (Denmark)

    Levisen, Carsten

    kilimand faetem with the newly imported English word vaeolens (violence). My study provides newevidence for how cognitive and semantic change co-occur in the context of postcolonial linguisticcommunities, and my paper addresses an important, ongoing controversy related to the notion of“Anglocentric bias...... 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...

  2. Web Image Re-Ranking UsingQuery-Specific Semantic Signatures.

    Science.gov (United States)

    Wang, Xiaogang; Qiu, Shi; Liu, Ke; Tang, Xiaoou

    2014-04-01

    Image re-ranking, as an effective way to improve the results of web-based image search, has been adopted by current commercial search engines such as Bing and Google. Given a query keyword, a pool of images are first retrieved based on textual information. By asking the user to select a query image from the pool, the remaining images are re-ranked based on their visual similarities with the query image. A major challenge is that the similarities of visual features do not well correlate with images' semantic meanings which interpret users' search intention. Recently people proposed to match images in a semantic space which used attributes or reference classes closely related to the semantic meanings of images as basis. However, learning a universal visual semantic space to characterize highly diverse images from the web is difficult and inefficient. In this paper, we propose a novel image re-ranking framework, which automatically offline learns different semantic spaces for different query keywords. The visual features of images are projected into their related semantic spaces to get semantic signatures. At the online stage, images are re-ranked by comparing their semantic signatures obtained from the semantic space specified by the query keyword. The proposed query-specific semantic signatures significantly improve both the accuracy and efficiency of image re-ranking. The original visual features of thousands of dimensions can be projected to the semantic signatures as short as 25 dimensions. Experimental results show that 25-40 percent relative improvement has been achieved on re-ranking precisions compared with the state-of-the-art methods.

  3. Management Tool for Semantic Annotations in WSDL

    Science.gov (United States)

    Boissel-Dallier, Nicolas; Lorré, Jean-Pierre; Benaben, Frédérick

    Semantic Web Services add features to automate web services discovery and composition. A new standard called SAWSDL emerged recently as a W3C recommendation to add semantic annotations within web service descriptions (WSDL). In order to manipulate such information in Java program we need an XML parser. Two open-source libraries already exist (SAWSDL4J and Woden4SAWSDL) but they don't meet all our specific needs such as support for WSDL 1.1 and 2.0. This paper presents a new tool, called EasyWSDL, which is able to handle semantic annotations as well as to manage the full WSDL description thanks to a plug-in mechanism. This tool allows us to read/edit/create a WSDL description and related annotations thanks to a uniform API, in both 1.1 and 2.0 versions. This document compares these three libraries and presents its integration into Dragon the OW2 open-source SOA governance tool.

  4. Treatment for anomia in semantic dementia.

    Science.gov (United States)

    Henry, Maya L; Beeson, Pélagie M; Rapcsak, Steven Z

    2008-02-01

    Anomia is a striking and consistent clinical feature of semantic dementia (SD), a progressive aphasia syndrome associated with focal cortical atrophy of the anterior temporal lobes. Word retrieval deficits in patients with SD have been attributed to the loss of conceptual knowledge, resulting in an impairment referred to as semantic anomia. Whereas an abundance of research has been dedicated to treatment for anomia in individuals with focal brain damage due to stroke, considerably less work has been done regarding treatment for patients with progressive language decline. The purpose of this article is to review the available literature concerning the nature and treatment of anomia in individuals with SD. Several studies have shown that new lexical learning remains possible in these patients. However, newly learned information is likely to be constrained by the learning context, and increased reliance on perceptual and autobiographical contextual information may be necessary to provide critical support for new vocabulary acquisition. There is also evidence suggesting that treatment may slow the progression of anomia over time, even affording some protective benefit to lexical items that are not yet lost. However, treatment efforts are likely to be most beneficial at early stages of the disease, when residual semantic knowledge as well as relatively spared episodic memory may support new learning.

  5. Measure Transformer Semantics for Bayesian Machine Learning

    Science.gov (United States)

    Borgström, Johannes; Gordon, Andrew D.; Greenberg, Michael; Margetson, James; van Gael, Jurgen

    The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (that is, a prior distribution) and a set of observations of variables. There is a trend in machine learning towards expressing Bayesian models as probabilistic programs. As a foundation for this kind of programming, we propose a core functional calculus with primitives for sampling prior distributions and observing variables. We define combinators for measure transformers, based on theorems in measure theory, and use these to give a rigorous semantics to our core calculus. The original features of our semantics include its support for discrete, continuous, and hybrid measures, and, in particular, for observations of zero-probability events. We compile our core language to a small imperative language that has a straightforward semantics via factor graphs, data structures that enable many efficient inference algorithms. We use an existing inference engine for efficient approximate inference of posterior marginal distributions, treating thousands of observations per second for large instances of realistic models.

  6. Semantic Roles and Grammatical Relations.

    Science.gov (United States)

    Van Valin, Robert D., Jr.

    The nature of semantic roles and grammatical relations are explored from the perspective of Role and Reference Grammar (RRG). It is proposed that unraveling the relational aspects of grammar involves the recognition that semantic roles fall into two types, thematic relations and macroroles, and that grammatical relations are not universal and are…

  7. 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)

  8. Semantic Processing of Mathematical Gestures

    Science.gov (United States)

    Lim, Vanessa K.; Wilson, Anna J.; Hamm, Jeff P.; Phillips, Nicola; Iwabuchi, Sarina J.; Corballis, Michael C.; Arzarello, Ferdinando; Thomas, Michael O. J.

    2009-01-01

    Objective: To examine whether or not university mathematics students semantically process gestures depicting mathematical functions (mathematical gestures) similarly to the way they process action gestures and sentences. Semantic processing was indexed by the N400 effect. Results: The N400 effect elicited by words primed with mathematical gestures…

  9. 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

  10. Latent semantic analysis.

    Science.gov (United States)

    Evangelopoulos, Nicholas E

    2013-11-01

    This article reviews latent semantic analysis (LSA), a theory of meaning as well as a method for extracting that meaning from passages of text, based on statistical computations over a collection of documents. LSA as a theory of meaning defines a latent semantic space where documents and individual words are represented as vectors. LSA as a computational technique uses linear algebra to extract dimensions that represent that space. This representation enables the computation of similarity among terms and documents, categorization of terms and documents, and summarization of large collections of documents using automated procedures that mimic the way humans perform similar cognitive tasks. We present some technical details, various illustrative examples, and discuss a number of applications from linguistics, psychology, cognitive science, education, information science, and analysis of textual data in general. WIREs Cogn Sci 2013, 4:683-692. doi: 10.1002/wcs.1254 CONFLICT OF INTEREST: The author has declared no conflicts of interest for this article. For further resources related to this article, please visit the WIREs website. © 2013 John Wiley & Sons, Ltd.

  11. Semantics of Information

    CERN Document Server

    Song, Daegene

    2016-01-01

    Both the choice made by the observer and consciousness are discussed in terms of cyclical time. That is, while the process of classical choice evolves forward in time, the quantum reference frame evolves backward in time to equate itself with the classical choice made by the observer, such that at the end, this corresponds to the case of self-observation in consciousness in linear time. This indicates that discrete and finite information is accompanied by a continuous or infinite "semantic" quantum part. In particular, the continuous semantic aspect is considered to be related to universal grammar, a suggested innate structure in languages. This paper also argues that the cyclical time model can be considered to have both small and large cycles and will also argue that at the most basic level, consciousness is strongly connected to time. This means that another aspect is added, that is, a more detailed description of the ongoing proposal of the subjective model, in which the classical is just as fundamental a...

  12. Estimating dominance in multi-party meetings using speaker diarization

    NARCIS (Netherlands)

    Hung, H.; Huang, Y.; Friedland, G.; Gatica-Perez, D.

    2011-01-01

    With the increase in cheap commercially available sensors, recording meetings is becoming an increasingly practical option. With this trend comes the need to summarize the recorded data in semantically meaningful ways. Here, we investigate the task of automatically measuring dominance in small group

  13. Neural correlates of semantic ambiguity processing during context verification.

    Science.gov (United States)

    Hoenig, Klaus; Scheef, Lukas

    2009-04-15

    Understanding the relevant meaning of a word with different meanings (homonym) in a given context requires activation of the neural representations of the relevant meaning and inhibition of the irrelevant meaning. The cognitive demand of such disambiguation is highest when the dominant, yet contextually irrelevant meaning of a polar homonym must be suppressed. This central process (semantic inhibition) for lexico-semantic ambiguity resolution was monitored with fMRI during semantic context verifications. Twenty-two healthy volunteers decided whether congruent or incongruent target words fitted into the contexts established by preceding sentences. Half of the sentences ended with a homonym, thereby allowing to cross the factors ambiguity and semantic congruency. BOLD increases related to the inhibitory attentional control over non-selected meanings during ambiguity processing occurred in a brain network including left dorsolateral prefrontal cortex (DLPFC), bilateral angular gyrus (AG), bilateral anterior superior temporal gyrus (aSTG) as well as right ventromedial temporal lobe. In left DLPFC (BA 46/9) and left AG (BA 39) BOLD activity to target words of the incongruent-ambiguous condition correlated with the individual amount of semantic interference experienced by the subjects. BOLD increases of incongruent versus congruent semantic verifications occurred in bilateral inferior frontal gyrus. The results of the present study suggest a specific role of left DLPFC and AG in the resolution of semantic interference from contextually inappropriate homonym meanings. These fronto-parietal areas might exert inhibitory control over temporal regions in service of attentional selection between relevant and irrelevant homonym meanings, by creating a sufficient activation difference between their respective representations.

  14. Functional semantics academic school at the PFU general and russian linguistics department

    Directory of Open Access Journals (Sweden)

    Е А Красина

    2010-09-01

    Full Text Available The article deals with the origins of the Functional Semantics Academic School at the PFU General and Russian Linguistics Department specifying its theoretical background and features.

  15. "Pre-Semantic" Cognition Revisited: Critical Differences between Semantic Aphasia and Semantic Dementia

    Science.gov (United States)

    Jefferies, Elizabeth; Rogers, Timothy T.; Hopper, Samantha; Lambon Ralph, Matthew A.

    2010-01-01

    Patients with semantic dementia show a specific pattern of impairment on both verbal and non-verbal "pre-semantic" tasks, e.g., reading aloud, past tense generation, spelling to dictation, lexical decision, object decision, colour decision and delayed picture copying. All seven tasks are characterised by poorer performance for items that are…

  16. VAMP: semantic validation for MPEG-7 profile descriptions

    NARCIS (Netherlands)

    Troncy, R.; Bailer, W.; Hausenblas, M.; Höffernig, M.

    2007-01-01

    MPEG-7 can be used to create complex and comprehensive metadata descriptions of multimedia content. Since MPEG-7 is defined in terms of an XML schema, the semantics of its elements has no formal grounding. In addition, certain features can be described in multiple ways. MPEG-7 profiles are subsets o

  17. 316 A Semantic Analysis of the Language of Advertising

    African Journals Online (AJOL)

    User

    2011-07-21

    Jul 21, 2011 ... that the paper can shed light on the semantic features of language of advertisements .... the caption eye-catching. The listeners are .... role and importance of the color scheme shows that these colors are part of an integral part ...

  18. Building Detectors to Support Searches on Combined Semantic Concepts

    NARCIS (Netherlands)

    Aly, R.B.N.; Hiemstra, D.; Ordelman, R.J.F.

    2007-01-01

    Bridging the semantic gap is one of the big challenges in multimedia information retrieval. It exists between the extraction of low-level features of a video and its conceptual contents. In order to understand the conceptual content of a video a common approach is building concept detectors.

  19. On-the-Fly Video Event Search by Semantic Signatures

    NARCIS (Netherlands)

    A. Habibian; M. Mazloom; C.G.M. Snoek

    2014-01-01

    In this technical demonstration, we showcase an event search engine that facilities instant access to an archive of web video. Different from many search engines which rely on high dimensional low-level visual features to represent videos, we rely on our proposed semantic signature. We extract seman

  20. On-the-Fly Video Event Search by Semantic Signatures

    NARCIS (Netherlands)

    Habibian, A.; Mazloom, M.; Snoek, C.G.M.

    2014-01-01

    In this technical demonstration, we showcase an event search engine that facilities instant access to an archive of web video. Different from many search engines which rely on high dimensional low-level visual features to represent videos, we rely on our proposed semantic signature. We extract

  1. Spatial-Temporal Junction Extraction and Semantic Interpretation

    DEFF Research Database (Denmark)

    Simonsen, Kasper Broegaard; Thorsted Nielsen, Mads; Pilz, Florian;

    2009-01-01

    This article describes a novel junction descriptor that encodes junctions’ semantic information in terms incoming lines’ orientations, both in 2D and 3D. A Kalman filter process is used to reduce the effect of local noise on the descriptor's error and to track the features. The improvement gained...

  2. An approach to define semantics for BPM systems interoperability

    Science.gov (United States)

    Rico, Mariela; Caliusco, María Laura; Chiotti, Omar; Rosa Galli, María

    2015-04-01

    This article proposes defining semantics for Business Process Management systems interoperability through the ontology of Electronic Business Documents (EBD) used to interchange the information required to perform cross-organizational processes. The semantic model generated allows aligning enterprise's business processes to support cross-organizational processes by matching the business ontology of each business partner with the EBD ontology. The result is a flexible software architecture that allows dynamically defining cross-organizational business processes by reusing the EBD ontology. For developing the semantic model, a method is presented, which is based on a strategy for discovering entity features whose interpretation depends on the context, and representing them for enriching the ontology. The proposed method complements ontology learning techniques that can not infer semantic features not represented in data sources. In order to improve the representation of these entity features, the method proposes using widely accepted ontologies, for representing time entities and relations, physical quantities, measurement units, official country names, and currencies and funds, among others. When the ontologies reuse is not possible, the method proposes identifying whether that feature is simple or complex, and defines a strategy to be followed. An empirical validation of the approach has been performed through a case study.

  3. Deep Fusion of Multiple Semantic Cues for Complex Event Recognition.

    Science.gov (United States)

    Zhang, Xishan; Zhang, Hanwang; Zhang, Yongdong; Yang, Yang; Wang, Meng; Luan, Huanbo; Li, Jintao; Chua, Tat-Seng

    2016-03-01

    We present a deep learning strategy to fuse multiple semantic cues for complex event recognition. In particular, we tackle the recognition task by answering how to jointly analyze human actions (who is doing what), objects (what), and scenes (where). First, each type of semantic features (e.g., human action trajectories) is fed into a corresponding multi-layer feature abstraction pathway, followed by a fusion layer connecting all the different pathways. Second, the correlations of how the semantic cues interacting with each other are learned in an unsupervised cross-modality autoencoder fashion. Finally, by fine-tuning a large-margin objective deployed on this deep architecture, we are able to answer the question on how the semantic cues of who, what, and where compose a complex event. As compared with the traditional feature fusion methods (e.g., various early or late strategies), our method jointly learns the essential higher level features that are most effective for fusion and recognition. We perform extensive experiments on two real-world complex event video benchmarks, MED'11 and CCV, and demonstrate that our method outperforms the best published results by 21% and 11%, respectively, on an event recognition task.

  4. Semantic Analysis of Virtual Classes and Nested Classes

    DEFF Research Database (Denmark)

    Madsen, Ole Lehrmann

    1999-01-01

    Virtual classes and nested classes are distinguishing features of BETA. Nested classes originated from Simula, but until recently they have not been part of main stream object- oriented languages. C++ has a restricted form of nested classes and they were included in Java 1.1. Virtual classes...... the central elements of the semantic analysis used in the Mjølner BETA compiler....

  5. Semantics and technologies in modern design of interior stairs

    Science.gov (United States)

    Kukhta, M.; Sokolov, A.; Pelevin, E.

    2015-10-01

    Use of metal in the design of interior stairs presents new features for shaping, and can be implemented using different technologies. The article discusses the features of design and production technologies of forged metal spiral staircase considering the image semantics based on the historical and cultural heritage. To achieve the objective was applied structural- semantic method (to identify the organization of structure and semantic features of the artistic image), engineering methods (to justify the construction of the object), anthropometry method and ergonomics (to provide usability), methods of comparative analysis (to reveale the features of the way the ladder in different periods of culture). According to the research results are as follows. Was revealed the semantics influence on the design of interior staircase that is based on the World Tree image. Also was suggested rational calculation of steps to ensure the required strength. And finally was presented technology, providing the realization of the artistic image. In the practical part of the work is presented version of forged staircase.

  6. Exploiting multi-context analysis in semantic image classification

    Institute of Scientific and Technical Information of China (English)

    TIAN Yong-hong; HUANG Tie-jun; GAO Wen

    2005-01-01

    As the popularity of digital images is rapidly increasing on the Internet, research on technologies for semantic image classification has become an important research topic. However, the well-known content-based image classification methods do not overcome the so-called semantic gap problem in which low-level visual features cannot represent the high-level semantic content of images. Image classification using visual and textual information often performs poorly since the extracted textual features are often too limited to accurately represent the images. In this paper, we propose a semantic image classification approach using multi-context analysis. For a given image, we model the relevant textual information as its multi-modal context, and regard the related images connected by hyperlinks as its link context. Two kinds of context analysis models, i.e., cross-modal correlation analysis and link-based correlation model, are used to capture the correlation among different modals of features and the topical dependency among images induced by the link structure. We propose a new collective classification model called relational support vector classifier (RSVC) based on the well-known Support Vector Machines (SVMs) and the link-based correlation model. Experiments showed that the proposed approach significantly improved classification accuracy over that of SVM classifiers using visual and/or textual features.

  7. Genetics of the dominant ataxias

    NARCIS (Netherlands)

    Verbeek, Dineke S.; van de Warrenburg, Bart P. C.

    2011-01-01

    The relevant clinical, genetic, and cell biologic aspects of the dominantly inherited spinocerebellar ataxias (SCAs) are reviewed in this article. SCAs are diseases of the entire nervous system; in addition to cerebellar ataxia, the central (but not obligate) disease feature, many noncerebellar comp

  8. The Analysis of Semantic Comparisons in Translation

    Institute of Scientific and Technical Information of China (English)

    杨晨; 温雪娜

    2007-01-01

    As you all know,translation is an art that requires a lot of skills.Wide horizon,literature connotation and constant practice make a successful translator.And in translation we have to pay special attention to the semantic comparisons of different languages.This paper probes into the four features of comparisons between Chinese & English vocabulary,that is,coincidence,parallel,vacancy and conflict.At the same time,it explores how to deal with some problems in translation,too.

  9. Matching Alternative Addresses: a Semantic Web Approach

    Science.gov (United States)

    Ariannamazi, S.; Karimipour, F.; Hakimpour, F.

    2015-12-01

    Rapid development of crowd-sourcing or volunteered geographic information (VGI) provides opportunities for authoritatives that deal with geospatial information. Heterogeneity of multiple data sources and inconsistency of data types is a key characteristics of VGI datasets. The expansion of cities resulted in the growing number of POIs in the OpenStreetMap, a well-known VGI source, which causes the datasets to outdate in short periods of time. These changes made to spatial and aspatial attributes of features such as names and addresses might cause confusion or ambiguity in the processes that require feature's literal information like addressing and geocoding. VGI sources neither will conform specific vocabularies nor will remain in a specific schema for a long period of time. As a result, the integration of VGI sources is crucial and inevitable in order to avoid duplication and the waste of resources. Information integration can be used to match features and qualify different annotation alternatives for disambiguation. This study enhances the search capabilities of geospatial tools with applications able to understand user terminology to pursuit an efficient way for finding desired results. Semantic web is a capable tool for developing technologies that deal with lexical and numerical calculations and estimations. There are a vast amount of literal-spatial data representing the capability of linguistic information in knowledge modeling, but these resources need to be harmonized based on Semantic Web standards. The process of making addresses homogenous generates a helpful tool based on spatial data integration and lexical annotation matching and disambiguating.

  10. Frontotemporal neural systems supporting semantic processing in Alzheimer's disease.

    Science.gov (United States)

    Peelle, Jonathan E; Powers, John; Cook, Philip A; Smith, Edward E; Grossman, Murray

    2014-03-01

    We hypothesized that semantic memory for object concepts involves both representations of visual feature knowledge in modality-specific association cortex and heteromodal regions that are important for integrating and organizing this semantic knowledge so that it can be used in a flexible, contextually appropriate manner. We examined this hypothesis in an fMRI study of mild Alzheimer's disease (AD). Participants were presented with pairs of printed words and asked whether the words matched on a given visual-perceptual feature (e.g., guitar, violin: SHAPE). The stimuli probed natural kinds and manufactured objects, and the judgments involved shape or color. We found activation of bilateral ventral temporal cortex and left dorsolateral prefrontal cortex during semantic judgments, with AD patients showing less activation of these regions than healthy seniors. Moreover, AD patients showed less ventral temporal activation than did healthy seniors for manufactured objects, but not for natural kinds. We also used diffusion-weighted MRI of white matter to examine fractional anisotropy (FA). Patients with AD showed significantly reduced FA in the superior longitudinal fasciculus and inferior frontal-occipital fasciculus, which carry projections linking temporal and frontal regions of this semantic network. Our results are consistent with the hypothesis that semantic memory is supported in part by a large-scale neural network involving modality-specific association cortex, heteromodal association cortex, and projections between these regions. The semantic deficit in AD thus arises from gray matter disease that affects the representation of feature knowledge and processing its content, as well as white matter disease that interrupts the integrated functioning of this large-scale network.

  11. 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.

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

    Institute of Scientific and Technical Information of China (English)

    WANG Zhansong; TIAN Ling; DUAN Wenrui

    2014-01-01

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

  13. Virtual Expression and LOD Model Designing for Theme Park Based on Semantic features:A Case of the Water and Soil Conservation Technology Park%主题公园多细节层次景观语义模型与虚拟表述——以北京延庆县水土保持科技示范园为例

    Institute of Scientific and Technical Information of China (English)

    李仁杰; 路紫

    2011-01-01

    The virtual expression for theme park, using the virtual reality (VR) technology, has achieved not only for achieving a high degree of realism for every element of the landscape in appearance texture, but also for showing landscape construction, landscape evolution and the man-land relationship and describing the geo-spatial pattern. The latter is paid less attention by researchers. Designing the landscape model based on semantic features in Virtual Geographic Environments (VGE) is a good idea to achieve the two-level modeling, and a case of a water and soil conservation technology park, located in the Yanqing County, Beijing, China, is selected to demonstrate the idea. The water and soil conservation technology park is a special form of theme park, which is designed for the experiments of water and soil conservation technology, popular science education of protection of ecological environment, and leisure and recreation activities. But the park' s functions are greatly restricted by the park's area, location and ecological capacity. So it cannot satisfy the multi functional needs for the education of ecological environment protection, technology demonstration and ecotourism development. The authors design a classification system of themes and virtual objects in the water and soil conservation technology park, and build a layer of details (LOD) model for describing the theme park in the computer virtual environment based on semantic context of the ecological landscape. The LOD model can show the features and landscapes of the theme park at different view scales such as the whole view, middle scale view, and some special partial views,even a special feature view in the virtual environment. The LOD model can also construct the virtual environment based on different themes and functions or design a special sight-seeing route by the describing of different scale LOD models and other landscape features together. This case study is done in the ArcGIS 9.2 and the Skyline

  14. Sequence Semantics for Dynamic Predicate Logic

    NARCIS (Netherlands)

    Vermeulen, C.F.M.

    2008-01-01

    In this paper a semantics for dynamic predicate logic is developed that uses sequence valued assignments. This semantics is compared with the usual relational semantics for dynamic predicate logic: it is shown that the most important intuitions of the usual semantics are preserved. Then it is shown

  15. The effect of semantic context on prospective memory performance.

    Science.gov (United States)

    Thomas, Brandon J; McBride, Dawn M

    2016-01-01

    The current study provides evidence for spontaneous processing in prospective memory (PM) or memory for intentions. Discrepancy-plus-search is the spontaneous processing of PM cues via disruptions in processing fluency of ongoing task items. We tested whether this mechanism can be demonstrated in an ongoing rating task with a dominant semantic context. Ongoing task items were manipulated such that the PM cues were members of a semantic category (i.e., Body Parts) that was congruent or discrepant with the dominant semantic category in the ongoing task. Results showed that participants correctly responded to more PM cues when there was a category discrepancy between the PM cues and ongoing task items. Moreover, participants' identification of PM cues was accompanied by faster ongoing task reaction times when PM cues were discrepant with ongoing task items than when they were congruent. These results suggest that a discrepancy-plus-search process supports PM retrieval in certain contexts, and that some discrepancy-plus-search mechanisms may result from the violation of processing expectations within a semantic context.

  16. Model Checking Feature Interactions

    DEFF Research Database (Denmark)

    Le Guilly, Thibaut; Olsen, Petur; Pedersen, Thomas;

    2015-01-01

    This paper presents an offline approach to analyzing feature interactions in embedded systems. The approach consists of a systematic process to gather the necessary information about system components and their models. The model is first specified in terms of predicates, before being refined to t...... to timed automata. The consistency of the model is verified at different development stages, and the correct linkage between the predicates and their semantic model is checked. The approach is illustrated on a use case from home automation....

  17. Exploiting Recurring Structure in a Semantic Network

    Science.gov (United States)

    Wolfe, Shawn R.; Keller, Richard M.

    2004-01-01

    With the growing popularity of the Semantic Web, an increasing amount of information is becoming available in machine interpretable, semantically structured networks. Within these semantic networks are recurring structures that could be mined by existing or novel knowledge discovery methods. The mining of these semantic structures represents an interesting area that focuses on mining both for and from the Semantic Web, with surprising applicability to problems confronting the developers of Semantic Web applications. In this paper, we present representative examples of recurring structures and show how these structures could be used to increase the utility of a semantic repository deployed at NASA.

  18. Geospatial semantics: beyond ontologies, towards an enactive approach

    CERN Document Server

    Di Donato, Pasquale

    2009-01-01

    Current approaches to semantics in the geospatial domain are mainly based on ontologies, but ontologies, since continue to build entirely on the symbolic methodology, suffers from the classical problems, e.g. the symbol grounding problem, affecting representational theories. We claim for an enactive approach to semantics, where meaning is considered to be an emergent feature arising context-dependently in action. Since representational theories are unable to deal with context, a new formalism is required toward a contextual theory of concepts. SCOP is considered a promising formalism in this sense and is briefly described.

  19. Semantic-based high resolution remote sensing image retrieval

    Science.gov (United States)

    Guo, Dihua

    High Resolution Remote Sensing (HRRS) imagery has been experiencing extraordinary development in the past decade. Technology development means increased resolution imagery is available at lower cost, making it a precious resource for planners, environmental scientists, as well as others who can learn from the ground truth. Image retrieval plays an important role in managing and accessing huge image database. Current image retrieval techniques, cannot satisfy users' requests on retrieving remote sensing images based on semantics. In this dissertation, we make two fundamental contributions to the area of content based image retrieval. First, we propose a novel unsupervised texture-based segmentation approach suitable for accurately segmenting HRRS images. The results of existing segmentation algorithms dramatically deteriorate if simply adopted to HRRS images. This is primarily clue to the multi-texture scales and the high level noise present in these images. Therefore, we propose an effective and efficient segmentation model, which is a two-step process. At high-level, we improved the unsupervised segmentation algorithm by coping with two special features possessed by HRRS images. By preprocessing images with wavelet transform, we not only obtain multi-resolution images but also denoise the original images. By optimizing the splitting results, we solve the problem of textons in HRRS images existing in different scales. At fine level, we employ fuzzy classification segmentation techniques with adjusted parameters for different land cover. We implement our algorithm using real world 1-foot resolution aerial images. Second, we devise methodologies to automatically annotate HRRS images based on semantics. In this, we address the issue of semantic feature selection, the major challenge faced by semantic-based image retrieval. To discover and make use of hidden semantics of images is application dependent. One type of the semantics in HRRS image is conveyed by composite

  20. Semantic Web Mining: Benefits, Challenges and Opportunities

    Directory of Open Access Journals (Sweden)

    Syeda Farha Shazmeen, Etyala Ramyasree

    2012-12-01

    Full Text Available Semantic Web Mining aims at combining the two areas Semantic Web and Web Mining by using semantics to improve mining and using mining to create semantics. Web Mining aims at discovering insights about the meaning of Web resources and their usage In Semantic Web, the semantics information is presented by the relation with others and is recorded by RDF. RDF which is semantic web technology that can be utilized to build efficient and scalable systems for Cloud. The Semantic Web enriches the World Wide Web by machine process able information which supports the user in his tasks, and also helps the users to get the exact search result .In this paper; we discuss the interplay of the Semantic Web with Web Mining, list out the benefits. Challenges, opportunities of the Semantic web are discussed.

  1. 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.

  2. Operational Semantics of Termination Types

    DEFF Research Database (Denmark)

    Nielson, Flemming; Nielson, Hanne Riis

    1996-01-01

    In principle termination analysis is easy: find a well-founded ordering and prove that calls decrease with respect to the ordering. We show how to embed termination information into a polymorphic type system for an eager higher-order functional language allowing multiple-argument functions...... 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...

  3. Workspaces in the Semantic Web

    Science.gov (United States)

    Wolfe, Shawn R.; Keller, RIchard M.

    2005-01-01

    Due to the recency and relatively limited adoption of Semantic Web technologies. practical issues related to technology scaling have received less attention than foundational issues. Nonetheless, these issues must be addressed if the Semantic Web is to realize its full potential. In particular, we concentrate on the lack of scoping methods that reduce the size of semantic information spaces so they are more efficient to work with and more relevant to an agent's needs. We provide some intuition to motivate the need for such reduced information spaces, called workspaces, give a formal definition, and suggest possible methods of deriving them.

  4. Formal Component-Based Semantics

    CERN Document Server

    Madlener, Ken; van Eekelen, Marko; 10.4204/EPTCS.62.2

    2011-01-01

    One of the proposed solutions for improving the scalability of semantics of programming languages is Component-Based Semantics, introduced by Peter D. Mosses. It is expected that this framework can also be used effectively for modular meta theoretic reasoning. This paper presents a formalization of Component-Based Semantics in the theorem prover Coq. It is based on Modular SOS, a variant of SOS, and makes essential use of dependent types, while profiting from type classes. This formalization constitutes a contribution towards modular meta theoretic formalizations in theorem provers. As a small example, a modular proof of determinism of a mini-language is developed.

  5. Russian nominal semantics and morphology

    DEFF Research Database (Denmark)

    Nørgård-Sørensen, Jens

    The principal idea behind this book is that lexis and grammar make up a single coherent structure. It is shown that the grammatical patterns of the different classes of Russian nominals are closely interconnected. They can be described as reflecting a limited set of semantic distinctions which...... are also rooted in the lexical-semantic classification of Russian nouns. The presentation focuses on semantics, both lexical and grammatical, and not least the connection between these two levels of content. The principal theoretical impact is the insight that grammar and lexis should not be seen...

  6. 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

  7. 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.

  8. Semantator: Annotating Clinical Narratives with Semantic Web Ontologies

    OpenAIRE

    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. ...

  9. Semantic Session Analysis for Web Usage Mining

    Institute of Scientific and Technical Information of China (English)

    ZHANG Hui; SONG Hantao; XU Xiaomei

    2007-01-01

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

  10. Semantic relations between verbs in Polish WordNet 2.0

    Directory of Open Access Journals (Sweden)

    Marek Maziarz

    2015-11-01

    Full Text Available Semantic relations between verbs in Polish WordNet 2.0 The noun dominates wordnets. The lexical semantics of verbs is usually under-represented, even if it is essential in any semantic analysis which goes beyond statistical methods. We present our attempt to remedy the imbalance; it begins by designing a sufficiently rich set of wordnet relations for verbs. We discuss and show in detail such a relation set in the largest Polish wordnet. Our design decisions, while as general and language-independent as possible, are mainly informed by our desire to capture the nature and peculiarities of the verb system in Polish.

  11. On the universal structure of human lexical semantics

    CERN Document Server

    Youn, Hyejin; Smith, Eric; Moore, Cristopher; Wilkins, Jon F; Maddieson, Ian; Croft, William; Bhattacharya, Tanmoy

    2015-01-01

    How universal is human conceptual structure? The way concepts are organized in the human brain may reflect distinct features of cultural, historical, and environmental background in addition to properties universal to human cognition. Semantics, or meaning expressed through language, provides direct access to the underlying conceptual structure, but meaning is notoriously difficult to measure, let alone parameterize. Here we provide an empirical measure of semantic proximity between concepts using cross-linguistic dictionaries. Across languages carefully selected from a phylogenetically and geographically stratified sample of genera, translations of words reveal cases where a particular language uses a single polysemous word to express concepts represented by distinct words in another. We use the frequency of polysemies linking two concepts as a measure of their semantic proximity, and represent the pattern of such linkages by a weighted network. This network is highly uneven and fragmented: certain concepts ...

  12. An Enhanced Indexing And Ranking Technique On The Semantic Web

    CERN Document Server

    Tolba, Ahmed; Elmogy, Mohammed

    2011-01-01

    With the fast growth of the Internet, more and more information is available on the Web. The Semantic Web has many features which cannot be handled by using the traditional search engines. It extracts metadata for each discovered Web documents in RDF or OWL formats, and computes relations between documents. We proposed a hybrid indexing and ranking technique for the Semantic Web which finds relevant documents and computes the similarity among a set of documents. First, it returns with the most related document from the repository of Semantic Web Documents (SWDs) by using a modified version of the ObjectRank technique. Then, it creates a sub-graph for the most related SWDs. Finally, It returns the hubs and authorities of these document by using the HITS algorithm. Our technique increases the quality of the results and decreases the execution time of processing the user's query.

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

    Directory of Open Access Journals (Sweden)

    Q. X. Xu

    2012-08-01

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

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

    Science.gov (United States)

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

    2012-08-01

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

  15. The Development Process of the Semantic Web and Web Ontology

    Directory of Open Access Journals (Sweden)

    K.Vanitha

    2011-08-01

    Full Text Available This paper deals with the semantic web and web ontology. The existing ontology development processes are not catered towards casual web ontology development, a notion analogous to standard web page development. Ontologies have become common on the World-Wide Web[2]. Key features of this process include easy and rapid creation of ontological skeletons, searching and linking to existing ontologies and a natural language-based technique to improve presentation of ontologies[6]. Ontologies, however, vary greatly in size, scope and semantics. They can range from generic upper-level ontologies to domain-specific schemas. The success of the Semantic Web is based on the existance of numerous distributed ontologies, using which users can annotate their data, thereby enabling shared machine readable content. This paper elaborates the stages in a casual ontology development process.

  16. Feature-based Image Sequence Compression Coding

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    A novel compressing method for video teleconference applications is presented. Semantic-based coding based on human image feature is realized, where human features are adopted as parameters. Model-based coding and the concept of vector coding are combined with the work on image feature extraction to obtain the result.

  17. 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...

  18. Principle Based Semantics for HPSG

    CERN Document Server

    Frank, A I

    1994-01-01

    The paper presents a constraint based semantic formalism for HPSG. The advantages of the formlism are shown with respect to a grammar for a fragment of German that deals with (i) quantifier scope ambiguities triggered by scrambling and/or movement and (ii) ambiguities that arise from the collective/distributive distinction of plural NPs. The syntax-semantics interface directly implements syntactic conditions on quantifier scoping and distributivity. The construction of semantic representations is guided by general principles governing the interaction between syntax and semantics. Each of these principles acts as a constraint to narrow down the set of possible interpretations of a sentence. Meanings of ambiguous sentences are represented by single partial representations (so-called U(nderspecified) D(iscourse) R(epresentation) S(tructure)s) to which further constraints can be added monotonically to gain more information about the content of a sentence. There is no need to build up a large number of alternative...

  19. Chinese semantic processing cerebral areas

    Institute of Scientific and Technical Information of China (English)

    SHAN Baoci; ZHANG Wutian; MA Lin; LI Dejun; CAO Bingli; TANG Yiyuan; WU Yigen; TANG Xiaowei

    2003-01-01

    This study has identified the active cerebral areas of normal Chinese that are associated with Chinese semantic processing using functional brain imaging. According to the traditional cognitive theory, semantic processing is not particularly associated with or affected by input modality. The functional brain imaging experiments were conducted to identify the common active areas of two modalities when subjects perform Chinese semantic tasks through reading and listening respectively. The result has shown that the common active areas include left inferior frontal gyrus (BA 44/45), left posterior inferior temporal gyrus (BA37); the joint area of inferior parietal lobules (BA40) and superior temporal gyrus, the ventral occipital areas and cerebella of both hemispheres. It gives important clue to further discerning the roles of different cerebral areas in Chinese semantic processing.

  20. Problem Solving with General Semantics.

    Science.gov (United States)

    Hewson, David

    1996-01-01

    Discusses how to use general semantics formulations to improve problem solving at home or at work--methods come from the areas of artificial intelligence/computer science, engineering, operations research, and psychology. (PA)

  1. Key Algorithms of Parcel Deduction Linear Features Areas Based on Spatial Reasoning and Semantic and Its Application in Land Survey and Database Establishment%基于空间推理及语义的图斑扣除线状地物面积关键算法及其在土地调查建库中的应用

    Institute of Scientific and Technical Information of China (English)

    任娜; 张道军

    2011-01-01

    采用基于空间推理及语义的空间分析建模方法,从物体空间关系的4交集及9交集表达模型出发,详细讨论了空间线面的各种关系可能,并结合地图上基本拓扑语义对其加以归并,他们分别对应于土地利用现状调查建库中图斑扣除线状地物面积的3种方式,这3种方式可利用“微圆”的思想加以区分.最后利用Arcgis空间建模工具开发出图斑扣除线状地物面积的模块.属性检查的结果显示,该方法是正确的和高效的.实验表明,基于现有GIS平台实现较为复杂的空间建模是可行的,可为用户节约建库成本.%Spatial analysis modeling method based on spatial reasoning and semantic was used in this paper. Beginning with the 4-intersection and 9-intersection expressions of object' s spacial relation, this paper discussed all possible relationships between a Line and Region. Then different relationships were divided into several categories based on topological semantic. And these categories respectively corresponded to the three kinds of area deduction of polyline features in polygon features. All the three kinds of area deduction could be distinguished by a method called "tiny round". Finally, an application module was developed by using the modeller tools of Arcgis. Attribute inspection results indicated that the method was correct and efficient. Experiments shown that, based on the existing GIS platform to achieve comparatively complicated space modeling was feasible, which could save the cost of database construction in land survey.

  2. Computation on Sentence Semantic Distance for Novelty Detection

    Institute of Scientific and Technical Information of China (English)

    Hua-Ping Zhang; Jian Sun; Bing Wang; Shuo Bai

    2005-01-01

    Novelty detection is to retrieve new information and filter redundancy from given sentences that are relevant to a specific topic. In TREC2003, the authors tried an approach to novelty detection with semantic distance computation.The motivation is to expand a sentence by introducing semantic information. Computation on semantic distance between sentences incorporates WordNet with statistical information. The novelty detection is treated as a binary classification problem: new sentence or not. The feature vector, used in the vector space model for classification, consists of various factors, including the semantic distance from the sentence to the topic and the distance from the sentence to the previous relevant context occurring before it. New sentences are then detected with Winnow and support vector machine classifiers,respectively. Several experiments are conducted to survey the relationship between different factors and performance. It is proved that semantic computation is promising in novelty detection. The ratio of new sentence size to relevant size is further studied given different relevant document sizes. It is found that the ratio reduced with a certain speed (about 0.86).Then another group of experiments is performed supervised with the ratio. It is demonstrated that the ratio is helpful to improve the novelty detection performance.

  3. Building a Semantic Framework for eScience

    Science.gov (United States)

    Movva, S.; Ramachandran, R.; Maskey, M.; Li, X.

    2009-12-01

    The e-Science vision focuses on the use of advanced computing technologies to support scientists. Recent research efforts in this area have focused primarily on “enabling” use of infrastructure resources for both data and computational access especially in Geosciences. One of the existing gaps in the existing e-Science efforts has been the failure to incorporate stable semantic technologies within the design process itself. In this presentation, we describe our effort in designing a framework for e-Science built using Service Oriented Architecture. Our framework provides users capabilities to create science workflows and mine distributed data. Our e-Science framework is being designed around a mass market tool to promote reusability across many projects. Semantics is an integral part of this framework and our design goal is to leverage the latest stable semantic technologies. The use of these stable semantic technologies will provide the users of our framework the useful features such as: allow search engines to find their content with RDFa tags; create RDF triple data store for their content; create RDF end points to share with others; and semantically mash their content with other online content available as RDF end point.

  4. Functional neuroimaging of semantic and episodic musical memory.

    Science.gov (United States)

    Platel, Hervé

    2005-12-01

    The distinction between episodic and semantic memory has become very popular since it was first proposed by Tulving in 1972. So far, very few neuropsychological, psychophysical, and imaging studies have related to the mnemonic aspects of music, notably on the long-term memory features, and practically nothing is known about the functional anatomy of long-term memory for music. Numerous functional imaging studies have shown that retrieval from semantic and episodic memory is subserved by distinct neural networks. For instance, the HERA model (hemispheric encoding/retrieval asymmetry) ascribes to the left prefrontal cortex a preferential role in the encoding process of episodic material and the recall of semantic information, while the right prefrontal cortex would preferentially operate in the recall of episodic information. However, these results were essentially obtained with verbal and visuo-spatial material. We have done a study to determine the neural substrates underlying the semantic and episodic components of music using familiar and nonfamiliar melodic tunes. Two distinct patterns of activations were found: bilateral activation of the middle and superior frontal areas and precuneus for episodic memory, and activation of the medial and orbital frontal cortex bilaterally, left angular gyrus, and the anterior part of the left middle and superior temporal gyri for semantic memory. We discuss these findings in light of the available neuropsychological data obtained in brain-damaged subjects and functional neuroimaging studies.

  5. Semantic Deviation in Oliver Twist

    Institute of Scientific and Technical Information of China (English)

    康艺凡

    2016-01-01

    Dickens, with his adeptness with language, applies semantic deviation skillfully in his realistic novel Oliver Twist. However, most studies and comments home and abroad on it mainly focus on such aspects as humanity, society, and characters. Therefore, this thesis will take a stylistic approach to Oliver Twist from the perspective of semantic deviation, which is achieved by the use of irony, hyperbole, and pun and analyze how the application of the technique makes the novel attractive.

  6. Are Some Semantic Changes Predictable?

    DEFF Research Database (Denmark)

    Schousboe, Steen

    2010-01-01

      Historical linguistics is traditionally concerned with phonology and syntax. With the exception of grammaticalization - the development of auxiliary verbs, the syntactic rather than localistic use of prepositions, etc. - semantic change has usually not been described as a result of regular deve...... developments, but only as specific meaning changes in individual words. This paper will suggest some regularities in semantic change, regularities which, like sound laws, have predictive power and can be tested against recorded languages....

  7. NASA and The Semantic Web

    Science.gov (United States)

    Ashish, Naveen

    2005-01-01

    We provide an overview of several ongoing NASA endeavors based on concepts, systems, and technology from the Semantic Web arena. Indeed NASA has been one of the early adopters of Semantic Web Technology and we describe ongoing and completed R&D efforts for several applications ranging from collaborative systems to airspace information management to enterprise search to scientific information gathering and discovery systems at NASA.

  8. 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

  9. Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition

    CERN Document Server

    Lu, Zhiwu

    2011-01-01

    This paper proposes a novel latent semantic learning method for extracting high-level features (i.e. latent semantics) from a large vocabulary of abundant mid-level features (i.e. visual keywords) with structured sparse representation, which can help to bridge the semantic gap in the challenging task of human action recognition. To discover the manifold structure of midlevel features, we develop a spectral embedding approach to latent semantic learning based on L1-graph, without the need to tune any parameter for graph construction as a key step of manifold learning. More importantly, we construct the L1-graph with structured sparse representation, which can be obtained by structured sparse coding with its structured sparsity ensured by novel L1-norm hypergraph regularization over mid-level features. In the new embedding space, we learn latent semantics automatically from abundant mid-level features through spectral clustering. The learnt latent semantics can be readily used for human action recognition with ...

  10. Lost in translation: data integration tools meet the Semantic Web (experiences from the Ondex project)

    CERN Document Server

    Splendiani, Andrea; Kuo, Shao-Chih; Stevens, Robert; Lord, Phillip

    2011-01-01

    More information is now being published in machine processable form on the web and, as de-facto distributed knowledge bases are materializing, partly encouraged by the vision of the Semantic Web, the focus is shifting from the publication of this information to its consumption. Platforms for data integration, visualization and analysis that are based on a graph representation of information appear first candidates to be consumers of web-based information that is readily expressible as graphs. The question is whether the adoption of these platforms to information available on the Semantic Web requires some adaptation of their data structures and semantics. Ondex is a network-based data integration, analysis and visualization platform which has been developed in a Life Sciences context. A number of features, including semantic annotation via ontologies and an attention to provenance and evidence, make this an ideal candidate to consume Semantic Web information, as well as a prototype for the application of netw...

  11. Mapping the semantic structure of cognitive neuroscience.

    Science.gov (United States)

    Beam, Elizabeth; Appelbaum, L Gregory; Jack, Jordynn; Moody, James; Huettel, Scott A

    2014-09-01

    Cognitive neuroscience, as a discipline, links the biological systems studied by neuroscience to the processing constructs studied by psychology. By mapping these relations throughout the literature of cognitive neuroscience, we visualize the semantic structure of the discipline and point to directions for future research that will advance its integrative goal. For this purpose, network text analyses were applied to an exhaustive corpus of abstracts collected from five major journals over a 30-month period, including every study that used fMRI to investigate psychological processes. From this, we generate network maps that illustrate the relationships among psychological and anatomical terms, along with centrality statistics that guide inferences about network structure. Three terms--prefrontal cortex, amygdala, and anterior cingulate cortex--dominate the network structure with their high frequency in the literature and the density of their connections with other neuroanatomical terms. From network statistics, we identify terms that are understudied compared with their importance in the network (e.g., insula and thalamus), are underspecified in the language of the discipline (e.g., terms associated with executive function), or are imperfectly integrated with other concepts (e.g., subdisciplines like decision neuroscience that are disconnected from the main network). Taking these results as the basis for prescriptive recommendations, we conclude that semantic analyses provide useful guidance for cognitive neuroscience as a discipline, both by illustrating systematic biases in the conduct and presentation of research and by identifying directions that may be most productive for future research.

  12. Progressive anomia without semantic or phonological impairment.

    Science.gov (United States)

    Ingles, Janet L; Fisk, John D; Passmore, Michael; Darvesh, Sultan

    2007-05-01

    We describe a 59-year-old woman, M.T., with a progressive language impairment and neuroimaging findings of decreased perfusion (SPECT) and focal atrophy (MRI) in the left temporal region. The most prominent feature of her cognitive profile was a profound and progressive impairment in naming. In spite of this, she performed normally on tests of semantic processing and phonological output. Her spontaneous speech was fluent with preserved syntax and articulation but with notable word-finding problems. All other cognitive abilities were relatively stable and intact. These features are not typical of either fluent or non-fluent forms of neurodegenerative language disturbance. The cognitive mechanisms that may underlie this case are discussed.

  13. A Lexical Semantic Database for Verbmobil

    CERN Document Server

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

    1996-01-01

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

  14. A Typical Participation of Visual Cortex during Word Processing in Autism: An fMRI Study of Semantic Decision

    Science.gov (United States)

    Gaffrey, Michael S.; Kleinhans, Natalia M.; Haist, Frank; Akshoomoff, Natacha; Campbell, Ashley; Courchesne, Eric; Muller, Ralph-Axel

    2007-01-01

    Language delay and impairment are salient features of autism. More specifically, there is evidence of atypical semantic organization in autism, but the functional brain correlates are not well understood. The current study used functional MRI to examine activation associated with semantic category decision. Ten high-functioning men with autism…

  15. Transfer and Semantic Universals in the L2 Acquisition of the English Article System by Child L2 Learners

    Science.gov (United States)

    Morales-Reyes, Alexandra; Soler, Inmaculada Gómez

    2016-01-01

    L2 learners' problems with English articles have been linked to learners' L1 and their access to universal semantic features (e.g., definiteness and specificity). Studies suggest that L2 adults rely on their L1 knowledge, while child L2 learners rely more on their access to semantic universals. The present study investigates whether child L2…

  16. Semantic photo synthesis

    Science.gov (United States)

    Johnson, Matthew; Brostow, G. J.; Shotton, J.; Kwatra, V.; Cipolla, R.

    2007-02-01

    Composite images are synthesized from existing photographs by artists who make concept art, e.g. storyboards for movies or architectural planning. Current techniques allow an artist to fabricate such an image by digitally splicing parts of stock photographs. While these images serve mainly to "quickly" convey how a scene should look, their production is laborious. We propose a technique that allows a person to design a new photograph with substantially less effort. This paper presents a method that generates a composite image when a user types in nouns, such as "boat" and "sand." The artist can optionally design an intended image by specifying other constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image database. The desired photograph, not a collage, is then synthesized using graph-cut optimization, optionally allowing for further user interaction to edit or choose among alternative generated photos. Our results demonstrate our contributions of (1) a method of creating specific images with minimal human effort, and (2) a combined algorithm for automatically building an image library with semantic annotations from any photo collection.

  17. Process-oriented semantic web search

    CERN Document Server

    Tran, DT

    2011-01-01

    The book is composed of two main parts. The first part is a general study of Semantic Web Search. The second part specifically focuses on the use of semantics throughout the search process, compiling a big picture of Process-oriented Semantic Web Search from different pieces of work that target specific aspects of the process.In particular, this book provides a rigorous account of the concepts and technologies proposed for searching resources and semantic data on the Semantic Web. To collate the various approaches and to better understand what the notion of Semantic Web Search entails, this bo

  18. A Semantic Matchmaker for Ranking Web Services

    Institute of Scientific and Technical Information of China (English)

    Bin Xu; Po Zhang; Juan-Zi Li; Wen-Jun Yang

    2006-01-01

    This paper is concerned with the matchmaker for ranking web services by using semantics. So far several methods of semantic matchmaker have been proposed. Most of them, however, focus on classifying the services into predefined categories rather than providing a ranking result. In this paper, a new method of semantic matchmaker is proposed for ranking web services. It is proposed to use the semantic distance for estimating the matching degree between a service and a user request. Four types of semantic distances are defined and four algorithms are implemented respectively to calculate them. Experimental results show that the proposed semantic matchmaker significantly outperforms the keywordbased baseline method.

  19. CASL The Common Algebraic Specification Language Semantics

    DEFF Research Database (Denmark)

    Haxthausen, Anne

    1998-01-01

    This is version 1.0 of the CASL Language Summary, annotated by the CoFI Semantics Task Group with the semantics of constructs. This is the first complete but possibly imperfect version of the semantics. It was compiled prior to the CoFI workshop at Cachan in November 1998.......This is version 1.0 of the CASL Language Summary, annotated by the CoFI Semantics Task Group with the semantics of constructs. This is the first complete but possibly imperfect version of the semantics. It was compiled prior to the CoFI workshop at Cachan in November 1998....

  20. Theorem proving support in programming language semantics

    CERN Document Server

    Bertot, Yves

    2007-01-01

    We describe several views of the semantics of a simple programming language as formal documents in the calculus of inductive constructions that can be verified by the Coq proof system. Covered aspects are natural semantics, denotational semantics, axiomatic semantics, and abstract interpretation. Descriptions as recursive functions are also provided whenever suitable, thus yielding a a verification condition generator and a static analyser that can be run inside the theorem prover for use in reflective proofs. Extraction of an interpreter from the denotational semantics is also described. All different aspects are formally proved sound with respect to the natural semantics specification.

  1. Topics on domination

    CERN Document Server

    Hedetniemi, ST

    1991-01-01

    The contributions in this volume are divided into three sections: theoretical, new models and algorithmic. The first section focuses on properties of the standard domination number &ggr;(G), the second section is concerned with new variations on the domination theme, and the third is primarily concerned with finding classes of graphs for which the domination number (and several other domination-related parameters) can be computed in polynomial time.

  2. A dynamic and context-aware semantic mediation service for discovering and fusion of heterogeneous sensor data

    Directory of Open Access Journals (Sweden)

    Mohamed Bakillah

    2013-06-01

    Full Text Available Sensors play an increasingly critical role in capturing and distributing observation of phenomena in our environment. The Semantic Sensor Web enables interoperability to support various applications that use data made available by semantically heterogeneous sensor services. However, several challenges still need to be addressed to achieve this vision. More particularly, mechanisms that can support context-aware semantic mapping that adapts to dynamic metadata of sensors are required. Semantic mapping for Sensor Web is required to support sensor data fusion, sensor data discovery and retrieval, and automatic semantic annotation, to name only a few applications. This paper presents a context-aware ontology-based semantic mediation service for heterogeneous sensor services. The semantic mediation service is context-aware and dynamic because it takes into account the real-time variability of thematic, spatial and temporal features that describe sensor data in different contexts. The semantic mediation service integrates rule-based reasoning to support resolution of semantic heterogeneities. An application scenario is presented showing how the semantic mediation service can improve sensor data interpretation, reuse, and sharing in static and dynamic settings.

  3. Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging.

    Science.gov (United States)

    Zhang, Fan; Song, Yang; Cai, Weidong; Liu, Sidong; Liu, Siqi; Pujol, Sonia; Kikinis, Ron; Xia, Yong; Fulham, Michael J; Feng, David Dagan; Alzheimers Disease Neuroimaging Initiative

    2016-05-01

    Retrieving medical images that present similar diseases is an active research area for diagnostics and therapy. However, it can be problematic given the visual variations between anatomical structures. In this paper, we propose a new feature extraction method for similarity computation in medical imaging. Instead of the low-level visual appearance, we design a CCA-PairLDA feature representation method to capture the similarity between images with high-level semantics. First, we extract the PairLDA topics to represent an image as a mixture of latent semantic topics in an image pair context. Second, we generate a CCA-correlation model to represent the semantic association between an image pair for similarity computation. While PairLDA adjusts the latent topics for all image pairs, CCA-correlation helps to associate an individual image pair. In this way, the semantic descriptions of an image pair are closely correlated, and naturally correspond to similarity computation between images. We evaluated our method on two public medical imaging datasets for image retrieval and showed improved performance.

  4. Streamlining geospatial metadata in the Semantic Web

    Science.gov (United States)

    Fugazza, Cristiano; Pepe, Monica; Oggioni, Alessandro; Tagliolato, Paolo; Carrara, Paola

    2016-04-01

    In the geospatial realm, data annotation and discovery rely on a number of ad-hoc formats and protocols. These have been created to enable domain-specific use cases generalized search is not feasible for. Metadata are at the heart of the discovery process and nevertheless they are often neglected or encoded in formats that either are not aimed at efficient retrieval of resources or are plainly outdated. Particularly, the quantum leap represented by the Linked Open Data (LOD) movement did not induce so far a consistent, interlinked baseline in the geospatial domain. In a nutshell, datasets, scientific literature related to them, and ultimately the researchers behind these products are only loosely connected; the corresponding metadata intelligible only to humans, duplicated on different systems, seldom consistently. Instead, our workflow for metadata management envisages i) editing via customizable web- based forms, ii) encoding of records in any XML application profile, iii) translation into RDF (involving the semantic lift of metadata records), and finally iv) storage of the metadata as RDF and back-translation into the original XML format with added semantics-aware features. Phase iii) hinges on relating resource metadata to RDF data structures that represent keywords from code lists and controlled vocabularies, toponyms, researchers, institutes, and virtually any description one can retrieve (or directly publish) in the LOD Cloud. In the context of a distributed Spatial Data Infrastructure (SDI) built on free and open-source software, we detail phases iii) and iv) of our workflow for the semantics-aware management of geospatial metadata.

  5. Total well dominated trees

    DEFF Research Database (Denmark)

    Finbow, Arthur; Frendrup, Allan; Vestergaard, Preben D.

    cardinality then G is a total well dominated graph. In this paper we study composition and decomposition of total well dominated trees. By a reversible process we prove that any total well dominated tree can both be reduced to and constructed from a family of three small trees....

  6. Dominating Sets and Domination Polynomials of Paths

    Directory of Open Access Journals (Sweden)

    Saeid Alikhani

    2009-01-01

    Full Text Available Let G=(V,E be a simple graph. A set S⊆V is a dominating set of G, if every vertex in V\\S is adjacent to at least one vertex in S. Let 𝒫ni be the family of all dominating sets of a path Pn with cardinality i, and let d(Pn,j=|𝒫nj|. In this paper, we construct 𝒫ni, and obtain a recursive formula for d(Pn,i. Using this recursive formula, we consider the polynomial D(Pn,x=∑i=⌈n/3⌉nd(Pn,ixi, which we call domination polynomial of paths and obtain some properties of this polynomial.

  7. Semantic Units Based Event Detection in Soccer Videos%基于语义单元的足球视频事件检测

    Institute of Scientific and Technical Information of China (English)

    童晓峰; 刘青山; 卢汉清; 金洪亮

    2005-01-01

    A semantic unit based event detection scheme in soccer videos is proposed in this paper.The scheme can be characterized as a three-layer framework. At the lowest layer, low-level features including color, texture, edge, shape, and motion are extracted. High-level semantic events are defined at the highest layer. In order to connect low-level features and high-level semantics, we design and define some semantic units at the intermediate layer. A semantic unit is composed of a sequence of consecutives frames with the same cue that is deduced from low-level features. Based on semantic units, a Bayesian network is used to reason the probabilities of events. The experiments for shoot and card event detection in soccer videos show that the proposed method has an encouraging performance.

  8. EVALUATION OF SEMANTIC SIMILARITY FOR SENTENCES IN NATURAL LANGUAGE BY MATHEMATICAL STATISTICS METHODS

    Directory of Open Access Journals (Sweden)

    A. E. Pismak

    2016-03-01

    Full Text Available Subject of Research. The paper is focused on Wiktionary articles structural organization in the aspect of its usage as the base for semantic network. Wiktionary community references, article templates and articles markup features are analyzed. The problem of numerical estimation for semantic similarity of structural elements in Wiktionary articles is considered. Analysis of existing software for semantic similarity estimation of such elements is carried out; algorithms of their functioning are studied; their advantages and disadvantages are shown. Methods. Mathematical statistics methods were used to analyze Wiktionary articles markup features. The method of semantic similarity computing based on statistics data for compared structural elements was proposed.Main Results. We have concluded that there is no possibility for direct use of Wiktionary articles as the source for semantic network. We have proposed to find hidden similarity between article elements, and for that purpose we have developed the algorithm for calculation of confidence coefficients proving that each pair of sentences is semantically near. The research of quantitative and qualitative characteristics for the developed algorithm has shown its major performance advantage over the other existing solutions in the presence of insignificantly higher error rate. Practical Relevance. The resulting algorithm may be useful in developing tools for automatic Wiktionary articles parsing. The developed method could be used in computing of semantic similarity for short text fragments in natural language in case of algorithm performance requirements are higher than its accuracy specifications.

  9. Semantic graphs and associative memories.

    Science.gov (United States)

    Pomi, Andrés; Mizraji, Eduardo

    2004-12-01

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

  10. Content-based histopathology image retrieval using a kernel-based semantic annotation framework.

    Science.gov (United States)

    Caicedo, Juan C; González, Fabio A; Romero, Eduardo

    2011-08-01

    Large amounts of histology images are captured and archived in pathology departments due to the ever expanding use of digital microscopy. The ability to manage and access these collections of digital images is regarded as a key component of next generation medical imaging systems. This paper addresses the problem of retrieving histopathology images from a large collection using an example image as query. The proposed approach automatically annotates the images in the collection, as well as the query images, with high-level semantic concepts. This semantic representation delivers an improved retrieval performance providing more meaningful results. We model the problem of automatic image annotation using kernel methods, resulting in a unified framework that includes: (1) multiple features for image representation, (2) a feature integration and selection mechanism (3) and an automatic semantic image annotation strategy. An extensive experimental evaluation demonstrated the effectiveness of the proposed framework to build meaningful image representations for learning and useful semantic annotations for image retrieval.

  11. Towards Automatic Semantic Labelling of 3D City Models

    Science.gov (United States)

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

    2016-10-01

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

  12. Forms of encoded pragmatic meaning: semantic prosody. A lexicographic perspective.

    Directory of Open Access Journals (Sweden)

    Mojca Šorli

    2014-03-01

    Full Text Available Abstract – The present paper focuses on ways in which the pragmatic (functional meaning that arises from various contextual features, known in corpus linguistics as semantic prosody (Sinclair 1996, 2004; Louw 1993, etc. can become an integral part of lexicographic descriptions. This is especially important for the treatment of phraseology and idiomatics. The workings of semantic prosody are a good example of the ways pragmatic meaning exploits linguistic means to be codified in the text. We thus investigate the meaning that can only be studied in context, as it is completely dependent on collocation, i.e., syntagmatic relations, and therefore cannot be attributed solely to a concrete word form. Corpus analysis has yielded significant results in areas such as the lexicographic treatment of semantic prosody. We believe that in order to improve teaching pragmatics in all its complexity, it is necessary to recognise and assess various aspects of pragmatic meaning both in written and spoken language. Second/foreign language teaching/learning in particular has been strongly dependent on the inclusion of relevant information in dictionaries, in which, traditionally, pragmatic aspects of meaning have been largely neglected. Language technologies have enabled us both to study the subtleties of pragmatic meaning and to design accurate and more user-friendly (pedagogical dictionaries. We will attempt to demonstrate the value of explicit description of functional pragmatic meaning, i.e. semantic prosody, as implemented in the Slovene Lexical Database (2008-2012. A brief overview of the theoretical background is first provided, after which we describe the definition strategies employed to include pragmatics, as well as presenting a case study and arguing that explicating semantic prosody is crucial in developing pragmatic competence in (young/foreign language learners. Keywords: semantic prosody; pragmatics; lexicographic description; dictionary; lexical

  13. Graph-based Operational Semantics of a Lazy Functional Languages

    DEFF Research Database (Denmark)

    Rose, Kristoffer Høgsbro

    1992-01-01

    Presents Graph Operational Semantics (GOS): a semantic specification formalism based on structural operational semantics and term graph rewriting. Demonstrates the method by specifying the dynamic ......Presents Graph Operational Semantics (GOS): a semantic specification formalism based on structural operational semantics and term graph rewriting. Demonstrates the method by specifying the dynamic ...

  14. The surplus value of semantic annotations

    NARCIS (Netherlands)

    Marx, M.

    2010-01-01

    We compare the costs of semantic annotation of textual documents to its benefits for information processing tasks. Semantic annotation can improve the performance of retrieval tasks and facilitates an improved search experience through faceted search, focused retrieval, better document summaries,

  15. Formal Language Decomposition into Semantic Primes

    Directory of Open Access Journals (Sweden)

    Johannes FÄHNDRICH

    2014-10-01

    Full Text Available This paper describes an algorithm for semantic decomposition. For that we surveys languages used to enrich contextual information with semantic descriptions. Such descriptions can be e.g. applied to enable reasoning when collecting vast amounts of information. In particular, we focus on the elements of the languages that make up their semantic. To do so, we compare the expressiveness of the well-known languages OWL, PDDL and MOF with a theory from linguistic called the Natural Semantic Metalanguage. We then analyze how the semantic of the language is build up and describe how semantic decomposition based on the semantic primes can be used for a so called mental lexicon. This mental lexicon can be used to reason upon semantic service description in the research domain of service match making.

  16. Coherent branching feature bisimulation

    Directory of Open Access Journals (Sweden)

    Tessa Belder

    2015-04-01

    Full Text Available Progress in the behavioral analysis of software product lines at the family level benefits from further development of the underlying semantical theory. Here, we propose a behavioral equivalence for feature transition systems (FTS generalizing branching bisimulation for labeled transition systems (LTS. We prove that branching feature bisimulation for an FTS of a family of products coincides with branching bisimulation for the LTS projection of each the individual products. For a restricted notion of coherent branching feature bisimulation we furthermore present a minimization algorithm and show its correctness. Although the minimization problem for coherent branching feature bisimulation is shown to be intractable, application of the algorithm in the setting of a small case study results in a significant speed-up of model checking of behavioral properties.

  17. The semantics of biological forms.

    Science.gov (United States)

    Albertazzi, Liliana; Canal, Luisa; Dadam, James; Micciolo, Rocco

    2014-01-01

    This study analyses how certain qualitative perceptual appearances of biological forms are correlated with expressions of natural language. Making use of the Osgood semantic differential, we presented the subjects with 32 drawings of biological forms and a list of 10 pairs of connotative adjectives to be put in correlations with them merely by subjective judgments. The principal components analysis made it possible to group the semantics of forms according to two distinct axes of variability: harmony and dynamicity. Specifically, the nonspiculed, nonholed, and flat forms were perceived as harmonic and static; the rounded ones were harmonic and dynamic. The elongated forms were somewhat disharmonious and somewhat static. The results suggest the existence in the general population of a correspondence between perceptual and semantic processes, and of a nonsymbolic relation between visual forms and their adjectival expressions in natural language.

  18. Action semantics modulate action prediction.

    Science.gov (United States)

    Springer, Anne; Prinz, Wolfgang

    2010-11-01

    Previous studies have demonstrated that action prediction involves an internal action simulation that runs time-locked to the real action. The present study replicates and extends these findings by indicating a real-time simulation process (Graf et al., 2007), which can be differentiated from a similarity-based evaluation of internal action representations. Moreover, results showed that action semantics modulate action prediction accuracy. The semantic effect was specified by the processing of action verbs and concrete nouns (Experiment 1) and, more specifically, by the dynamics described by action verbs (Experiment 2) and the speed described by the verbs (e.g., "to catch" vs. "to grasp" vs. "to stretch"; Experiment 3). These results propose a linkage between action simulation and action semantics as two yet unrelated domains, a view that coincides with a recent notion of a close link between motor processes and the understanding of action language.

  19. A Semantic Web Blackboard System

    Science.gov (United States)

    McKenzie, Craig; Preece, Alun; Gray, Peter

    In this paper, we propose a Blackboard Architecture as a means for coordinating hybrid reasoning over the Semantic Web. We describe the components of traditional blackboard systems (Knowledge Sources, Blackboard, Controller) and then explain how we have enhanced these by incorporating some of the principles of the Semantic Web to pro- duce our Semantic Web Blackboard. Much of the framework is already in place to facilitate our research: the communication protocol (HTTP); the data representation medium (RDF); a rich expressive description language (OWL); and a method of writing rules (SWRL). We further enhance this by adding our own constraint based formalism (CIF/SWRL) into the mix. We provide an example walk-though of our test-bed system, the AKTive Workgroup Builder and Blackboard(AWB+B), illustrating the interaction and cooperation of the Knowledge Sources and providing some context as to how the solution is achieved. We conclude with the strengths and weaknesses of the architecture.

  20. Semantics for Possibilistic Disjunctive Programs

    CERN Document Server

    Nieves, Juan Carlos; Cortés, Ulises

    2011-01-01

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

  1. Semantic Ambiguity and Perceived Ambiguity

    CERN Document Server

    Poesio, M

    1995-01-01

    I explore some of the issues that arise when trying to establish a connection between the underspecification hypothesis pursued in the NLP literature and work on ambiguity in semantics and in the psychological literature. A theory of underspecification is developed `from the first principles', i.e., starting from a definition of what it means for a sentence to be semantically ambiguous and from what we know about the way humans deal with ambiguity. An underspecified language is specified as the translation language of a grammar covering sentences that display three classes of semantic ambiguity: lexical ambiguity, scopal ambiguity, and referential ambiguity. The expressions of this language denote sets of senses. A formalization of defeasible reasoning with underspecified representations is presented, based on Default Logic. Some issues to be confronted by such a formalization are discussed.

  2. Web Image Retrieval Search Engine based on Semantically Shared Annotation

    Directory of Open Access Journals (Sweden)

    Alaa Riad

    2012-03-01

    Full Text Available This paper presents a new majority voting technique that combines the two basic modalities of Web images textual and visual features of image in a re-annotation and search based framework. The proposed framework considers each web page as a voter to vote the relatedness of keyword to the web image, the proposed approach is not only pure combination between image low level feature and textual feature but it take into consideration the semantic meaning of each keyword that expected to enhance the retrieval accuracy. The proposed approach is not used only to enhance the retrieval accuracy of web images; but also able to annotated the unlabeled images.

  3. Supervised non-negative matrix factorization based latent semantic image indexing

    Institute of Scientific and Technical Information of China (English)

    Dong Liang; Jie Yang; Yuchou Chang

    2006-01-01

    @@ A novel latent semantic indexing (LSI) approach for content-based image retrieval is presented in this paper. Firstly, an extension of non-negative matrix factorization (NMF) to supervised initialization isdiscussed. Then, supervised NMF is used in LSI to find the relationships between low-level features and high-level semantics. The retrieved results are compared with other approaches and a good performance is obtained.

  4. A Modular Rewriting Semantics for CML

    DEFF Research Database (Denmark)

    Chalub, Fabricio; Braga, Christiano de Oliveira

    2004-01-01

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

  5. Proceedings Seventh Workshop on Structural Operational Semantics

    CERN Document Server

    Aceto, Luca; 10.4204/EPTCS.32

    2010-01-01

    Structural operational semantics (SOS) is a technique for defining operational semantics for programming and specification languages. Because of its intuitive appeal and flexibility, SOS has found considerable application in the study of the semantics of concurrent processes. It is also a viable alternative to denotational semantics in the static analysis of programs and in proving compiler correctness. Recently it has been applied in emerging areas such as probabilistic systems and systems biology.

  6. SEMANTIC WEB MINING: ISSUES AND CHALLENGES

    OpenAIRE

    Karan Singh*, Anil kumar, Arun Kumar Yadav

    2016-01-01

    The combination of the two fast evolving scientific research areas “Semantic Web” and “Web Mining” are well-known as “Semantic Web Mining” in computer science. These two areas cover way for the mining of related and meaningful information from the web, by this means giving growth to the term “Semantic Web Mining”. The “Semantic Web” makes mining easy and “Web Mining” can construct new structure of Web. Web Mining applies ...

  7. SETL: A programmable semantic extract-transform-load framework for semantic data warehouses

    DEFF Research Database (Denmark)

    Nath, Rudra; Hose, Katja; Pedersen, Torben Bach

    2017-01-01

    on Semantic Web (SW) standards and tools and supports developers by offering a number of powerful modules, classes, and methods for (dimensional and semantic) DW constructs and tasks. Thus it supports semantic data sources in addition to traditional data sources, semantic integration, and creating......” because they do not consider semantic issues in the integration processing. Current ETL tools neither support processing semantic data nor create a semantic Data Warehouse (DW), a repository of semantically integrated data. This paper describes our programmable Semantic ETL (SETL) framework. SETL builds...... or publishing a semantic (multidimensional) DW in terms of a knowledge base. A comprehensive experimental evaluation comparing SETL to a solution made with traditional tools (requiring much more hand-coding) on a concrete use case, shows that SETL provides better programmer productivity, knowledge base quality...

  8. Order effects in dynamic semantics.

    Science.gov (United States)

    Graben, Peter Beim

    2014-01-01

    In their target article, Wang and Busemeyer (2013) discuss question order effects in terms of incompatible projectors on a Hilbert space. In a similar vein, Blutner recently presented an orthoalgebraic query language essentially relying on dynamic update semantics. Here, I shall comment on some interesting analogies between the different variants of dynamic semantics and generalized quantum theory to illustrate other kinds of order effects in human cognition, such as belief revision, the resolution of anaphors, and default reasoning that result from the crucial non-commutativity of mental operations upon the belief state of a cognitive agent.

  9. Semantic Presupposition in Advertisement Language

    Institute of Scientific and Technical Information of China (English)

    王芸芸

    2008-01-01

    Presupposition is. a very important linguistic concept that originates from philosophy. It is often considered as a kind of pragmatic inference. In linguistics it can be classified as semantic presupposition and Pragmatic presupposition. This article will deals with semantic presupposition. Besides the most important characteristics constancy under negation, presupposition boasts some other characteristics, namely unidirectionality, subjectiveness and latency, which exactly fulfill the demands of advertising. Because presupposition, used in advertising, can not possible risk caused by ostentation or direct assertion. On this account, presupposition is adopted into advertising as a pragmatic strategy.

  10. SEMANTIC TRANSFERS: CRITERIA FOR CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    Moskvin, V.P.

    2016-03-01

    Full Text Available There is represented the general classification of semantic transfers. As the research has shown, transfers can be systematized based on four parameters: 1 the type of associations lying on their basis: similarity, contiguity and contrast, the associations by similarity and contrast being regarded as the basis for taxonomic transfers (from genus to species, from species to genus, from species to species, etc.; 2 the functional parameter: functionally relevant and irrelevant; 3 the sphere of action: transfer applies both to lexical and grammatical semantics; 4 the degree of ex-pressiveness: thus, the metonymic associations are more predictable than the metaphoric ones.

  11. On Semantic Development of HAND

    Institute of Scientific and Technical Information of China (English)

    黎金娥

    2015-01-01

    The body-part term, HAND, ranks 48 in Swadesh's 100-Word List.This paper discusses the origin and meanings, and then the rules of semantic development in the HAND semantic field by comparing with other languages.The word itself does not only denote the body part but also things resembling hands in shape, position, function and things associated with hands.Plenty of linguistic evidence can be found to illustrate that all human beings regard their bodies as the basis and starting point of recognition of the whole world.

  12. Semantic Relatedness for Evaluation of Course Equivalencies

    Science.gov (United States)

    Yang, Beibei

    2012-01-01

    Semantic relatedness, or its inverse, semantic distance, measures the degree of closeness between two pieces of text determined by their meaning. Related work typically measures semantics based on a sparse knowledge base such as WordNet or Cyc that requires intensive manual efforts to build and maintain. Other work is based on a corpus such as the…

  13. A Modular Rewriting Semantics for CML

    DEFF Research Database (Denmark)

    Chalub, Fabricio; Braga, Christiano de Oliveira

    2004-01-01

    This paper presents a modular rewriting semantics (MRS) specification for Reppy's Concurrent ML (CML), based on Peter Mosses' modular structural operational semantics specification for CML. A modular rewriting semantics specification for a programming language is a rewrite theory in rewriting log...

  14. Applying Semantic Reasoning in Image Retrieval

    NARCIS (Netherlands)

    Boer, M.H.T. de; Daniele, L.M.; Brandt, P.; Sappelli, M.

    2015-01-01

    Abstract—With the growth of open sensor networks, multiple applications in different domains make use of a large amount of sensor data, resulting in an emerging need to search semantically over heterogeneous datasets. In semantic search, an important challenge consists of bridging the semantic gap

  15. Applying Semantic Reasoning in Image Retrieval

    NARCIS (Netherlands)

    Boer, M.H.T. de; Daniele, L.M.; Brandt, P.; Sappelli, M.

    2015-01-01

    Abstract—With the growth of open sensor networks, multiple applications in different domains make use of a large amount of sensor data, resulting in an emerging need to search semantically over heterogeneous datasets. In semantic search, an important challenge consists of bridging the semantic gap b

  16. Semantic heterogeneity: comparing new semantic web approaches with those of digital libraries

    OpenAIRE

    Krause, Jürgen

    2008-01-01

    To demonstrate that newer developments in the semantic web community, particularly those based on ontologies (simple knowledge organization system and others) mitigate common arguments from the digital library (DL) community against participation in the Semantic web. The approach is a semantic web discussion focusing on the weak structure of the Web and the lack of consideration given to the semantic content during indexing. The points criticised by the semantic web and ontology approaches ar...

  17. On the universal structure of human lexical semantics.

    Science.gov (United States)

    Youn, Hyejin; Sutton, Logan; Smith, Eric; Moore, Cristopher; Wilkins, Jon F; Maddieson, Ian; Croft, William; Bhattacharya, Tanmoy

    2016-02-16

    How universal is human conceptual structure? The way concepts are organized in the human brain may reflect distinct features of cultural, historical, and environmental background in addition to properties universal to human cognition. Semantics, or meaning expressed through language, provides indirect access to the underlying conceptual structure, but meaning is notoriously difficult to measure, let alone parameterize. Here, we provide an empirical measure of semantic proximity between concepts using cross-linguistic dictionaries to translate words to and from languages carefully selected to be representative of worldwide diversity. These translations reveal cases where a particular language uses a single "polysemous" word to express multiple concepts that another language represents using distinct words. We use the frequency of such polysemies linking two concepts as a measure of their semantic proximity and represent the pattern of these linkages by a weighted network. This network is highly structured: Certain concepts are far more prone to polysemy than others, and naturally interpretable clusters of closely related concepts emerge. Statistical analysis of the polysemies observed in a subset of the basic vocabulary shows that these structural properties are consistent across different language groups, and largely independent of geography, environment, and the presence or absence of a literary tradition. The methods developed here can be applied to any semantic domain to reveal the extent to which its conceptual structure is, similarly, a universal attribute of human cognition and language use.

  18. Semantic markup of sensor capabilities: how simple it too simple?

    Science.gov (United States)

    Rueda-Velasquez, C. A.; Janowicz, K.; Fredericks, J.

    2016-12-01

    Semantics plays a key role for the publication, retrieval, integration, and reuse of observational data across the geosciences. In most cases, one can safely assume that the providers of such data, e.g., individual scientists, understand the observation context in which their data are collected,e.g., the used observation procedure, the sampling strategy, the feature of interest being studied, and so forth. However, can we expect that the same is true for the technical details of the used sensors and especially the nuanced changes that can impact observations in often unpredictable ways? Should the burden of annotating the sensor capabilities, firmware, operation ranges, and so forth be really part of a scientist's responsibility? Ideally, semantic annotations should be provided by the parties that understand these details and have a vested interest in maintaining these data. With manufactures providing semantically-enabled metadata for their sensors and instruments, observations could more easily be annotated and thereby enriched using this information. Unfortunately, today's sensor ontologies and tool chains developed for the Semantic Web community require expertise beyond the knowledge and interest of most manufacturers. Consequently, knowledge engineers need to better understand the sweet spot between simple ontologies/vocabularies and sufficient expressivity as well as the tools required to enable manufacturers to share data about their sensors. Here, we report on the current results of EarthCube's X-Domes project that aims to address the questions outlined above.

  19. Semantic Segmentation of Aerial Images with AN Ensemble of Cnns

    Science.gov (United States)

    Marmanis, D.; Wegner, J. D.; Galliani, S.; Schindler, K.; Datcu, M.; Stilla, U.

    2016-06-01

    This paper describes a deep learning approach to semantic segmentation of very high resolution (aerial) images. Deep neural architectures hold the promise of end-to-end learning from raw images, making heuristic feature design obsolete. Over the last decade this idea has seen a revival, and in recent years deep convolutional neural networks (CNNs) have emerged as the method of choice for a range of image interpretation tasks like visual recognition and object detection. Still, standard CNNs do not lend themselves to per-pixel semantic segmentation, mainly because one of their fundamental principles is to gradually aggregate information over larger and larger image regions, making it hard to disentangle contributions from different pixels. Very recently two extensions of the CNN framework have made it possible to trace the semantic information back to a precise pixel position: deconvolutional network layers undo the spatial downsampling, and Fully Convolution Networks (FCNs) modify the fully connected classification layers of the network in such a way that the location of individual activations remains explicit. We design a FCN which takes as input intensity and range data and, with the help of aggressive deconvolution and recycling of early network layers, converts them into a pixelwise classification at full resolution. We discuss design choices and intricacies of such a network, and demonstrate that an ensemble of several networks achieves excellent results on challenging data such as the ISPRS semantic labeling benchmark, using only the raw data as input.

  20. MATCHING ALTERNATIVE ADDRESSES: A SEMANTIC WEB APPROACH

    Directory of Open Access Journals (Sweden)

    S. Ariannamazi

    2015-12-01

    Full Text Available Rapid development of crowd-sourcing or volunteered geographic information (VGI provides opportunities for authoritatives that deal with geospatial information. Heterogeneity of multiple data sources and inconsistency of data types is a key characteristics of VGI datasets. The expansion of cities resulted in the growing number of POIs in the OpenStreetMap, a well-known VGI source, which causes the datasets to outdate in short periods of time. These changes made to spatial and aspatial attributes of features such as names and addresses might cause confusion or ambiguity in the processes that require feature’s literal information like addressing and geocoding. VGI sources neither will conform specific vocabularies nor will remain in a specific schema for a long period of time. As a result, the integration of VGI sources is crucial and inevitable in order to avoid duplication and the waste of resources. Information integration can be used to match features and qualify different annotation alternatives for disambiguation. This study enhances the search capabilities of geospatial tools with applications able to understand user terminology to pursuit an efficient way for finding desired results. Semantic web is a capable tool for developing technologies that deal with lexical and numerical calculations and estimations. There are a vast amount of literal-spatial data representing the capability of linguistic information in knowledge modeling, but these resources need to be harmonized based on Semantic Web standards. The process of making addresses homogenous generates a helpful tool based on spatial data integration and lexical annotation matching and disambiguating.

  1. Semantic contrastive linguistics theory and dialectological studies

    Directory of Open Access Journals (Sweden)

    Danuta Roszko

    2015-11-01

    Full Text Available Semantic contrastive linguistics theory and dialectological studies Theoretical contrastive studies (hereinafter referred to as TCS emerged with a view to compare and contrast natural languages on the basis of a logical interlanguage. The idea of making the TCS guidelines available to science resulted in discontinuing the division into the original language and the target language when comparing and contrasting two (or more languages, and at the same time, terminating the dependence of the resulting material (i.e. form indexes in the target language on the formal structures in the original language. The TCS essence is included in the interlanguage, which is used as tertium comparationis in the studies. To get more on this topic see Koseska, Korytkowska, R. Roszko (2007. Till now, TCS have not been applied in dialectal studies. There are a lot of reasons for this conjuncture. First of all, dialectal studies usually concentrate on one code (i.e. only a single local dialect is being specified, whilst in TCS, a comparison and contrast between (at least two languages is provided. Moreover, research on the dialectal differentiation of a specific language (i.e. at least two dialects (/ local dialects are being specified together is based on demonstrating the features shared and differentiated on the level of (a lexis, (b morphology (most often narrowed to demonstrate differential morphological features and (c syntactic (relatively most rarely. Thus, dialectal studies are essentially a description of the formal conjuncture, whereas semantic aspects are out of the area of researchers interest. With this article, I am going to break the current patterns and prove that dialectal studies can be conducted in accordance with the TCS guidelines. The advantage of such dialectal studies is not only a different/new look at a specific local dialect, but also a possibility of an instant comparison and contrast between the local dialect and the standardized language

  2. Autosomal dominant lamellar ichthyosis.

    Science.gov (United States)

    Toribio, J; Fernández Redondo, V; Peteiro, C; Zulaica, A; Fabeiro, J M

    1986-08-01

    Five members of two generations of one family were affected with lamellar ichthyosis, suggesting autosomal dominant transmission. The clinical and histopathological characteristics of the cases described here are similar to those reported by Traupe et al. (1984) as autosomal dominant lamellar ichthyosis and thus confirm the existence of this new form of ichthyosis.

  3. Multimedia Semantics Metadata, Analysis and Interaction

    CERN Document Server

    Troncy, Raphael; Schenk, Simon

    2011-01-01

    In this book, the authors present the latest research results in the multimedia and semantic web communities, bridging the "Semantic Gap" This book explains, collects and reports on the latest research results that aim at narrowing the so-called multimedia "Semantic Gap": the large disparity between descriptions of multimedia content that can be computed automatically, and the richness and subjectivity of semantics in user queries and human interpretations of audiovisual media. Addressing the grand challenge posed by the "Semantic Gap" requires a multi-disciplinary approach (computer science,

  4. Action representation: crosstalk between semantics and pragmatics.

    Science.gov (United States)

    Prinz, Wolfgang

    2014-03-01

    Marc Jeannerod pioneered a representational approach to movement and action. In his approach, motor representations provide both, declarative knowledge about action and procedural knowledge for action (action semantics and action pragmatics, respectively). Recent evidence from language comprehension and action simulation supports the claim that action pragmatics and action semantics draw on common representational resources, thus challenging the traditional divide between declarative and procedural action knowledge. To account for these observations, three kinds of theoretical frameworks are discussed: (i) semantics is grounded in pragmatics, (ii) pragmatics is anchored in semantics, and (iii) pragmatics is part and parcel of semantics.

  5. 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

  6. Genres, Semantics, and Classroom Education.

    Science.gov (United States)

    Lemke, Jay

    1988-01-01

    Argues that competence in academic subjects depends on mastery of their specialized patterns of language use. These patterns are described in terms of: 1) the semantics underlying Halliday's functional linguistics and 2) the structural analysis of communication genres. A sample classroom episode illustrates relationships among semantic…

  7. A Note on Semantic Selection.

    Science.gov (United States)

    Endo, Yoshio

    1989-01-01

    The notions of categorical selection (c-selection) and semantic selection (s-selection) as outlined in recent research on generative grammar are discussed. The first section addresses the type of selectional constraint imposed on English small clauses (e.g., "John considers [Mary smart]"). In the second section, it is suggested that the constraint…

  8. Towards semantic software engineering enviroments

    NARCIS (Netherlands)

    Falbo, R.A.; Guizzardi, G.; Natali, A.; Bertollo, G.; Ruy, F.; Mian, P.; Tortora, G.; Chang, S.K.

    2002-01-01

    Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they are a way towards Semantic SEEs. In this paper we discuss an ontology-based

  9. Towards semantic software engineering environments

    NARCIS (Netherlands)

    Falbo, R.A.; Guizzardi, G.; Natali, A.; Bertollo, G.; Ruy, F.; Mian, P.; Tortora, G.; Chang, S.-K.

    2002-01-01

    Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they are a way towards Semantic SEEs. In this paper we discuss an ontology-based appr

  10. Semantic Reasoning for Scene Interpretation

    DEFF Research Database (Denmark)

    Jensen, Lars Baunegaard With; Baseski, Emre; Pugeault, Nicolas

    2008-01-01

    In this paper, we propose a hierarchical architecture for representing scenes, covering 2D and 3D aspects of visual scenes as well as the semantic relations between the different aspects. We argue that labeled graphs are a suitable representational framework for this representation and demonstrat...

  11. The Semantics of Query Modification

    NARCIS (Netherlands)

    Hollink, V.; Tsikrika, T.; Vries, A.P. de

    2010-01-01

    We present a method that exploits `linked data' to determine semantic relations between consecutive user queries. Our method maps queries onto concepts in linked data and searches the linked data graph for direct or indirect relations between the concepts. By comparing relations between large number

  12. Semantic activation in action planning

    NARCIS (Netherlands)

    Lindemann, Oliver; Stenneken, Prisca; van Schie, Hein T.; Bekkering, Harold

    2006-01-01

    Four experiments investigated activation of semantic information in action preparation. Participants either prepared to grasp and use an object (e.g., to drink from a cup) or to lift a finger in association with the object's position following a go/no-go lexical-decision task. Word stimuli were cons

  13. Semantic Borders and Incomplete Understanding.

    Science.gov (United States)

    Silva-Filho, Waldomiro J; Dazzani, Maria Virgínia

    2016-03-01

    In this article, we explore a fundamental issue of Cultural Psychology, that is our "capacity to make meaning", by investigating a thesis from contemporary philosophical semantics, namely, that there is a decisive relationship between language and rationality. Many philosophers think that for a person to be described as a rational agent he must understand the semantic content and meaning of the words he uses to express his intentional mental states, e.g., his beliefs and thoughts. Our argument seeks to investigate the thesis developed by Tyler Burge, according to which our mastery or understanding of the semantic content of the terms which form our beliefs and thoughts is an "incomplete understanding". To do this, we discuss, on the one hand, the general lines of anti-individualism or semantic externalism and, on the other, criticisms of the Burgean notion of incomplete understanding - one radical and the other moderate. We defend our understanding that the content of our beliefs must be described in the light of the limits and natural contingencies of our cognitive capacities and the normative nature of our rationality. At heart, anti-individualism leads us to think about the fact that we are social creatures, living in contingent situations, with important, but limited, cognitive capacities, and that we receive the main, and most important, portion of our knowledge simply from what others tell us. Finally, we conclude that this discussion may contribute to the current debate about the notion of borders.

  14. Denotational semantics for thread algebra

    NARCIS (Netherlands)

    Vu, T.D.

    2008-01-01

    This paper gives a denotational semantics for thread algebra (TA), an algebraic framework for the description and analysis of recent programming languages such as C# and Java [J.A. Bergstra, C.A. Middelburg, Thread algebra for strategic interleaving, Formal Aspects of Computing, in press.

  15. Semantic enrichment of GPS trajectories

    NARCIS (Netherlands)

    Graaff, de Victor; Keulen, van Maurice; By, de Rolf

    2012-01-01

    Semantic annotation of GPS trajectories helps us to recognize the interests of the creator of the GPS trajectories. Automating this trajectory annotation circumvents the requirement of additional user input. To annotate the GPS traces automatically, two types of automated input are required: 1) a co

  16. Quality measurement of semantic standards

    NARCIS (Netherlands)

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

    2010-01-01

    Quality of semantic standards is unadressed in current research while there is an explicit need from standard developers. The business importance is evident since quality of standards will have impact on its diffusion and achieved interoperability in practice. An instrument to measure the quality of

  17. Semantic Annotation of Computational Components

    Science.gov (United States)

    Vanderbilt, Peter; Mehrotra, Piyush

    2004-01-01

    This paper describes a methodology to specify machine-processable semantic descriptions of computational components to enable them to be shared and reused. A particular focus of this scheme is to enable automatic compositon of such components into simple work-flows.

  18. The Semantic Web in Education

    Science.gov (United States)

    Ohler, Jason

    2008-01-01

    The semantic web or Web 3.0 makes information more meaningful to people by making it more understandable to machines. In this article, the author examines the implications of Web 3.0 for education. The author considers three areas of impact: knowledge construction, personal learning network maintenance, and personal educational administration.…

  19. Literature Review of Semantic Presupposition

    Institute of Scientific and Technical Information of China (English)

    张婷婷

    2012-01-01

    Since Gottlob Frege,the German philosopher and mathematician raises the concept of presupposition in his works On Sense and Reference at the end of the 19th century,to interpret some semantic phenomenon,the discussions of presupposition have become central in both linguistic field and the field of philosophy.Presupposition is a very important linguistic concept that originates from philosophy.

  20. Towards semantic software engineering enviroments

    NARCIS (Netherlands)

    Falbo, R.A.; Guizzardi, G.; Natali, A.; Bertollo, G.; Ruy, F.; Mian, P.; Tortora, G.; Chang, S.K.

    2002-01-01

    Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they are a way towards Semantic SEEs. In this paper we discuss an ontology-based appr

  1. The Semantic Web in Education

    Science.gov (United States)

    Ohler, Jason

    2008-01-01

    The semantic web or Web 3.0 makes information more meaningful to people by making it more understandable to machines. In this article, the author examines the implications of Web 3.0 for education. The author considers three areas of impact: knowledge construction, personal learning network maintenance, and personal educational administration.…

  2. Formal Semantics: Origins, Issues, Early Impact

    Directory of Open Access Journals (Sweden)

    Barbara H. Partee

    2010-12-01

    Linguistics Wars. New York and Oxford: Oxford University Press.Heim, I. 1982. The Semantics of Definite and Indefinite Noun Phrases. Ph.D. thesis, University of Massachusetts. Published 1989, New York: Garland. http://newstar.rinet.ru/~goga/biblio/heim (djvu or http://semanticsarchive.net/Archive/Tk0ZmYyY/ (very large PDF file.Heim, I. & Kratzer, A. 1998. Semantics in Generative Grammar. Oxford: Blackwell.https://udrive.oit.umass.edu/partee/Semantics_Readings/Heim%26Kratzer.pdf.Hintikka, J. 1973. ‘Carnap’s heritage in logical semantics’. Synthese 25: 372–397.Hintikka, K. J. J. 1962. Knowledge and Belief. Ithaca, N.Y.: Cornell University Press.Hintikka, K. J. J., Moravcsik, J. & Suppes, P. (eds.. 1973. Approaches to Natural Language. Ithaca, N.Y.: Cornell University Press.Hodges, W. 1998. ‘Compositionality is not the problem’. Logic and Logical Philosophy 6:7–33. http://www.logika.umk.pl/llp/06/hodges.pdf.Hodges, W. 2001. ‘Formal Features of Compositionality’. Journal of Logic, Language and Information 10: 7–28.http://dx.doi.org/10.1023/A:1026502210492Huck, G. J. & Goldsmith, J. A. 1995. Ideology and Linguistic Theory: Noam Chomsky and the Deep Structure Debates. London: Routledge.Jackendoff, R. 1972. Semantic Interpretation in Generative Grammar. Cambridge, Mass.: MIT Press.Jacobson, P. 1999. ‘Towards a variable-free semantics’. Linguistics and Philosophy 22: 117–184.http://dx.doi.org/10.1023/A:1005464228727Janssen, T. M. V. 1983. Foundations and Applications of Montague Grammar. Amsterdam: Mathematisch Centrum, University of Amsterdam.Kalish, D. & Montague, R. 1964. Logic: Techniques of Formal Reasoning. New York: Harcourt, Brace & World, Inc.Kalish, D., Montague, R., Mar, G. & Fogelin, R. J. 1980. Logic : Techniques of Formal Reasoning. New York: Harcourt Brace Jovanovich.Kanger, S. 1957a. ‘The Morning Star Paradox’. Theoria 23: 1–11.http://dx.doi.org/10.1111/j.1755-2567.1957.tb00263.xKanger, S. 1957b. ‘A note on quantification and

  3. Synobins: An Intermediate Level towards Annotation and Semantic Retrieval

    Directory of Open Access Journals (Sweden)

    Sethi Ishwar K

    2006-01-01

    Full Text Available To reason about the meaning of an image, useful information should be provided with that image; however, images often contain little to no textual information about the objects they are depicting, which is the precise reason why there is a need for CBIR systems that exploit only the correlations present in the raw pixel data. In this paper, we proposed a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive features in such a way that the noise and redundancy are eliminated. We introduced the synobin, a new term for content-based image retrieval literature, which is the equivalent of a synonym word from text retrieval, to name the bin that is synonymous with other bins of a color feature, in the sense that they are similarly used across the image database. In a formal definition, a group of synobins is given by the most important bins participating in forming of a useful pattern, that is, the bins having the highest coefficients in the linear combination defining that pattern. Incorporating our feature model into a CBIR system moves the research in image retrieval beyond simple matching of images based on their primitive features and creates a ground for learning image semantics from visual content. A system developed using our proposed feature model will have the capability of learning associations not only between semantic concepts and images, but also between semantic concepts and patterns. We evaluated the performance of our system based on the retrieval accuracy and on the perceptual similarity order among retrieved images. When compared to standard image retrieval methods, our preliminary results show that even if the feature space was reduced to only 3%–5% of the initial space, the accuracy and perceptual similarity for our system remain the same or better depending on the category of images.

  4. Synobins: An Intermediate Level towards Annotation and Semantic Retrieval

    Science.gov (United States)

    Raicu, Daniela Stan; Sethi, Ishwar K.

    2006-12-01

    To reason about the meaning of an image, useful information should be provided with that image; however, images often contain little to no textual information about the objects they are depicting, which is the precise reason why there is a need for CBIR systems that exploit only the correlations present in the raw pixel data. In this paper, we proposed a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive features in such a way that the noise and redundancy are eliminated. We introduced the synobin, a new term for content-based image retrieval literature, which is the equivalent of a synonym word from text retrieval, to name the bin that is synonymous with other bins of a color feature, in the sense that they are similarly used across the image database. In a formal definition, a group of synobins is given by the most important bins participating in forming of a useful pattern, that is, the bins having the highest coefficients in the linear combination defining that pattern. Incorporating our feature model into a CBIR system moves the research in image retrieval beyond simple matching of images based on their primitive features and creates a ground for learning image semantics from visual content. A system developed using our proposed feature model will have the capability of learning associations not only between semantic concepts and images, but also between semantic concepts and patterns. We evaluated the performance of our system based on the retrieval accuracy and on the perceptual similarity order among retrieved images. When compared to standard image retrieval methods, our preliminary results show that even if the feature space was reduced to only 3%-5% of the initial space, the accuracy and perceptual similarity for our system remain the same or better depending on the category of images.

  5. SWHi system description : A case study in information retrieval, inference, and visualization in the Semantic Web

    NARCIS (Netherlands)

    Fahmi, Ismail; Zhang, Junte; Ellermann, Henk; Bouma, Gosse; Franconi, E; Kifer, M; May, W

    2007-01-01

    Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its features with some features from search engines. In this paper, we describe methods for indexing and searching a populated ontology

  6. SWHi system description : A case study in information retrieval, inference, and visualization in the Semantic Web

    NARCIS (Netherlands)

    Fahmi, Ismail; Zhang, Junte; Ellermann, Henk; Bouma, Gosse; Franconi, E; Kifer, M; May, W

    2007-01-01

    Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its features with some features from search engines. In this paper, we describe methods for indexing and searching a populated ontology

  7. Here's Looking at You: Visual Similarity Exacerbates the Moses Illusion for Semantically Similar Celebrities

    Science.gov (United States)

    Davis, Danielle K.; Abrams, Lise

    2016-01-01

    When people read questions like "How many animals of each kind did Moses take on the ark?", many mistakenly answer "2" despite knowing that Noah sailed the ark. This "Moses illusion" occurs when names share semantic features. Two experiments examined whether shared "visual" concepts (facial features)…

  8. Integrated Semantic Similarity Model Based on Ontology

    Institute of Scientific and Technical Information of China (English)

    LIU Ya-Jun; ZHAO Yun

    2004-01-01

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

  9. A Denotational Semantics for Communicating Unstructured Code

    Directory of Open Access Journals (Sweden)

    Nils Jähnig

    2015-03-01

    Full Text Available An important property of programming language semantics is that they should be compositional. However, unstructured low-level code contains goto-like commands making it hard to define a semantics that is compositional. In this paper, we follow the ideas of Saabas and Uustalu to structure low-level code. This gives us the possibility to define a compositional denotational semantics based on least fixed points to allow for the use of inductive verification methods. We capture the semantics of communication using finite traces similar to the denotations of CSP. In addition, we examine properties of this semantics and give an example that demonstrates reasoning about communication and jumps. With this semantics, we lay the foundations for a proof calculus that captures both, the semantics of unstructured low-level code and communication.

  10. Scandinavian Semantics and the Human Body

    DEFF Research Database (Denmark)

    Levisen, Carsten

    2015-01-01

    , it is demonstrated that Scandinavian and English systems differ significantly in some aspects of the way in which the construe the human body with words. The study ventures an innovative combination of methods, pairing the Natural Semantic Metalanguage (NSM) approach to linguistic and conceptual analysis...... in closely related languages can differ substantially in their semantics. In related languages, where shared lexical form does not always mean shared semantics, ethnolinguistic studies in semantic change and shifts in polysemy patterns can help to reveal and explain the roots of semantic diversity.......This paper presents an ethnolinguistic analysis of how the space between the head and the body is construed in Scandinavian semantic systems vis-a-vis the semantic system of English. With an extensive case study of neck-related meanings in Danish, and with cross-Scandinavian reference...

  11. Learning Dependency-Based Compositional Semantics

    CERN Document Server

    Liang, Percy; Klein, Dan

    2011-01-01

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

  12. Two Language Models Using Chinese Semantic Parsing

    Institute of Scientific and Technical Information of China (English)

    LI Mingqin; WANG Xia; WANG Zuoying

    2006-01-01

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

  13. Semantics of Complex Sentences in Japanese

    CERN Document Server

    Nakagawa, H; Nakagawa, Hiroshi; Nishizawa, Shin'ichiro

    1994-01-01

    The important part of semantics of complex sentence is captured as relations among semantic roles in subordinate and main clause respectively. However if there can be relations between every pair of semantic roles, the amount of computation to identify the relations that hold in the given sentence is extremely large. In this paper, for semantics of Japanese complex sentence, we introduce new pragmatic roles called `observer' and `motivated' respectively to bridge semantic roles of subordinate and those of main clauses. By these new roles constraints on the relations among semantic/pragmatic roles are known to be almost local within subordinate or main clause. In other words, as for the semantics of the whole complex sentence, the only role we should deal with is a motivated.

  14. Lexical-semantic body knowledge in 5- to 11-year-old children: How spatial body representation influences body semantics.

    Science.gov (United States)

    Auclair, Laurent; Jambaqué, Isabelle

    2015-01-01

    This study addresses the relation between lexico-semantic body knowledge (i.e., body semantics) and spatial body representation (i.e., structural body representation) by analyzing naming performances as a function of body structural topography. One hundred and forty-one children ranging from 5 years 2 months to 10 years 5 months old were asked to provide a lexical label for isolated body part pictures. We compared the children's naming performances according to the location of the body parts (body parts vs. head features and also upper vs. lower limbs) or to their involvement in motor skills (distal segments, joints, and broader body parts). The results showed that the children's naming performance was better for facial body parts than for other body parts. Furthermore, it was found that the naming of body parts was better for body parts related to action. These findings suggest that the development of a spatial body representation shapes the elaboration of semantic body representation processing. Moreover, this influence was not limited to younger children. In our discussion of these results, we focus on the important role of action in the development of body representations and semantic organization.

  15. SETL: A programmable semantic extract-transform-load framework for semantic data warehouses

    DEFF Research Database (Denmark)

    Nath, Rudra; Hose, Katja; Pedersen, Torben Bach

    2017-01-01

    ” because they do not consider semantic issues in the integration processing. Current ETL tools neither support processing semantic data nor create a semantic Data Warehouse (DW), a repository of semantically integrated data. This paper describes our programmable Semantic ETL (SETL) framework. SETL builds......In order to create better decisions for business analytics, organizations increasingly use external structured, semi-structured, and unstructured data in addition to the (mostly structured) internal data. Current Extract-Transform-Load (ETL) tools are not suitable for this “open world scenario...... on Semantic Web (SW) standards and tools and supports developers by offering a number of powerful modules, classes, and methods for (dimensional and semantic) DW constructs and tasks. Thus it supports semantic data sources in addition to traditional data sources, semantic integration, and creating...

  16. Downhill Domination in Graphs

    OpenAIRE

    Haynes Teresa W.; Hedetniemi Stephen T.; Jamieson Jessie D.; Jamieson William B.

    2014-01-01

    A path π = (v1, v2, . . . , vk+1) in a graph G = (V,E) is a downhill path if for every i, 1 ≤ i ≤ k, deg(vi) ≥ deg(vi+1), where deg(vi) denotes the degree of vertex vi ∈ V. The downhill domination number equals the minimum cardinality of a set S ⊆ V having the property that every vertex v ∈ V lies on a downhill path originating from some vertex in S. We investigate downhill domination numbers of graphs and give upper bounds. In particular, we show that the downhill domination number of a grap...

  17. Dominant optic atrophy

    Directory of Open Access Journals (Sweden)

    Lenaers Guy

    2012-07-01

    Full Text Available Abstract Definition of the disease Dominant Optic Atrophy (DOA is a neuro-ophthalmic condition characterized by a bilateral degeneration of the optic nerves, causing insidious visual loss, typically starting during the first decade of life. The disease affects primary the retinal ganglion cells (RGC and their axons forming the optic nerve, which transfer the visual information from the photoreceptors to the lateral geniculus in the brain. Epidemiology The prevalence of the disease varies from 1/10000 in Denmark due to a founder effect, to 1/30000 in the rest of the world. Clinical description DOA patients usually suffer of moderate visual loss, associated with central or paracentral visual field deficits and color vision defects. The severity of the disease is highly variable, the visual acuity ranging from normal to legal blindness. The ophthalmic examination discloses on fundoscopy isolated optic disc pallor or atrophy, related to the RGC death. About 20% of DOA patients harbour extraocular multi-systemic features, including neurosensory hearing loss, or less commonly chronic progressive external ophthalmoplegia, myopathy, peripheral neuropathy, multiple sclerosis-like illness, spastic paraplegia or cataracts. Aetiology Two genes (OPA1, OPA3 encoding inner mitochondrial membrane proteins and three loci (OPA4, OPA5, OPA8 are currently known for DOA. Additional loci and genes (OPA2, OPA6 and OPA7 are responsible for X-linked or recessive optic atrophy. All OPA genes yet identified encode mitochondrial proteins embedded in the inner membrane and ubiquitously expressed, as are the proteins mutated in the Leber Hereditary Optic Neuropathy. OPA1 mutations affect mitochondrial fusion, energy metabolism, control of apoptosis, calcium clearance and maintenance of mitochondrial genome integrity. OPA3 mutations only affect the energy metabolism and the control of apoptosis. Diagnosis Patients are usually diagnosed during their early childhood, because of

  18. How to constrain and maintain a lexicon for the treatment of progressive semantic naming deficits: Principles of item selection for formal semantic therapy.

    Science.gov (United States)

    Reilly, Jamie

    2016-01-01

    The progressive degradation of semantic memory is a common feature of many forms of dementia, including Alzheimer's disease and the semantic variant of primary progressive aphasia (svPPA). One of the most functionally debilitating effects of this semantic impairment is the inability to name common people and objects (i.e., anomia). Clinical management of a progressive, semantically based anomia presents extraordinary challenges for neurorehabilitation. Techniques such as errorless learning and spaced-retrieval training show promise for retraining forgotten words. However, we lack complementary detail about what to train (i.e., item selection) and how to flexibly adapt the training to a declining cognitive system. This position paper weighs the relative merits of several treatment rationales (e.g., restore vs. compensate) and advocates for maintenance of known words over reacquisition of forgotten knowledge in the context of semantic treatment paradigms. I propose a system for generating an item pool and outline a set of core principles for training and sustaining a micro-lexicon consisting of approximately 100 words. These principles are informed by lessons learned over the course of a Phase I treatment study targeting language maintenance over a 5-year span in Alzheimer's disease and SvPPA. Finally, I propose a semantic training approach that capitalises on lexical frequency and repeated training on conceptual structure to offset the loss of key vocabulary as disease severity worsens.

  19. Exploiting Depth From Single Monocular Images for Object Detection and Semantic Segmentation

    Science.gov (United States)

    Cao, Yuanzhouhan; Shen, Chunhua; Shen, Heng Tao

    2017-02-01

    Augmenting RGB data with measured depth has been shown to improve the performance of a range of tasks in computer vision including object detection and semantic segmentation. Although depth sensors such as the Microsoft Kinect have facilitated easy acquisition of such depth information, the vast majority of images used in vision tasks do not contain depth information. In this paper, we show that augmenting RGB images with estimated depth can also improve the accuracy of both object detection and semantic segmentation. Specifically, we first exploit the recent success of depth estimation from monocular images and learn a deep depth estimation model. Then we learn deep depth features from the estimated depth and combine with RGB features for object detection and semantic segmentation. Additionally, we propose an RGB-D semantic segmentation method which applies a multi-task training scheme: semantic label prediction and depth value regression. We test our methods on several datasets and demonstrate that incorporating information from estimated depth improves the performance of object detection and semantic segmentation remarkably.

  20. Downhill Domination in Graphs

    Directory of Open Access Journals (Sweden)

    Haynes Teresa W.

    2014-08-01

    Full Text Available A path π = (v1, v2, . . . , vk+1 in a graph G = (V,E is a downhill path if for every i, 1 ≤ i ≤ k, deg(vi ≥ deg(vi+1, where deg(vi denotes the degree of vertex vi ∈ V. The downhill domination number equals the minimum cardinality of a set S ⊆ V having the property that every vertex v ∈ V lies on a downhill path originating from some vertex in S. We investigate downhill domination numbers of graphs and give upper bounds. In particular, we show that the downhill domination number of a graph is at most half its order, and that the downhill domination number of a tree is at most one third its order. We characterize the graphs obtaining each of these bounds

  1. Dominantly Inherited Nemaline Myopathy

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2003-08-01

    Full Text Available A locus on chromosome 15q21-23 for a dominantly inherited nemaline myopathy with core-like lesions is reported in two unrelated families evaluated at University Medical Center, Nijmegen, The Netherlands.

  2. Inquiry Semantics: A Functional Semantics of Natural Language Grammar

    Science.gov (United States)

    1983-10-01

    full detail and then execute such plans. In fact, such a mode of operation has serious difficulties , and so it is worthwhile to consider other...Association for Computational Linguitics ,.held in Pia, Italy, In September 1983. I=. ....._ _. . . ... .._i__ _ _I 2 INQUIRY SEMANTICS With imposed... difficulties which do not arise from difficulties of representation. For example, knowing what to thematize and what to mark, knowing causes and

  3. A Semantic Lexicon-Based Approach for Sense Disambiguation and Its WWW Application

    Science.gov (United States)

    di Lecce, Vincenzo; Calabrese, Marco; Soldo, Domenico

    This work proposes a basic framework for resolving sense disambiguation through the use of Semantic Lexicon, a machine readable dictionary managing both word senses and lexico-semantic relations. More specifically, polysemous ambiguity characterizing Web documents is discussed. The adopted Semantic Lexicon is WordNet, a lexical knowledge-base of English words widely adopted in many research studies referring to knowledge discovery. The proposed approach extends recent works on knowledge discovery by focusing on the sense disambiguation aspect. By exploiting the structure of WordNet database, lexico-semantic features are used to resolve the inherent sense ambiguity of written text with particular reference to HTML resources. The obtained results may be extended to generic hypertextual repositories as well. Experiments show that polysemy reduction can be used to hint about the meaning of specific senses in given contexts.

  4. Scalable Medical Image Understanding by Fusing Cross-Modal Object Recognition with Formal Domain Semantics

    Science.gov (United States)

    Möller, Manuel; Sintek, Michael; Buitelaar, Paul; Mukherjee, Saikat; Zhou, Xiang Sean; Freund, Jörg

    Recent advances in medical imaging technology have dramatically increased the amount of clinical image data. In contrast, techniques for efficiently exploiting the rich semantic information in medical images have evolved much slower. Despite the research outcomes in image understanding, current image databases are still indexed by manually assigned subjective keywords instead of the semantics of the images. Indeed, most current content-based image search applications index image features that do not generalize well and use inflexible queries. This slow progress is due to the lack of scalable and generic information representation systems which can abstract over the high dimensional nature of medical images as well as semantically model the results of object recognition techniques. We propose a system combining medical imaging information with ontological formalized semantic knowledge that provides a basis for building universal knowledge repositories and gives clinicians fully cross-lingual and cross-modal access to biomedical information.

  5. Analyzability and semantic associations in referring expressions : a study in comparative lexicology

    NARCIS (Netherlands)

    Urban, Matthias

    2012-01-01

    This thesis is a sample-based typological study of formal and semantic patterns in terms for a selection of referring ("nominal") meanings. Languages differ considerably in that in some, unanalyzable, monomorphemic terms dominate in the lexicon while in others analyzable items formed by language-spe

  6. Quran’s Phonetic and Marvelous Semantic Effects

    Directory of Open Access Journals (Sweden)

    Navid kalani

    2016-03-01

    Full Text Available Quran, the greatest miracle of the universe, is a book with profound subtlety inside, immeasurable content, aesthetic appearance and melodious diction. During the centuries from the revelation of such a divine book onto the heart of the last God’s great Apostle (peace be upon him a great many of the thinkers have pondered over its miraculous nature from various aspects and have considered it from different dimensions of expressive, scientific, lexical, religious law miracles dimensions. And in the meantime it has to be mentioned that there can be put no end to the discovery of the Holy Quran’s miraculous facets. The Quranic phonetics speaks of a melody and rhythmic harmony which exert considerable effects on the absorption of the Quran’s words and phrases semantics. The extraordinariness of the issue, the way that it is out of the reach of the human being, reveals itself when the Quran’s lexicon phonetic and its semantic (phono-semantics relationships can be compared with the analysis of the sound and frequency of the sound signals with the similar natural sounds. The current study has dealt with the survey of this reality by taking advantage of the specialized frequency analysis software and has managed to record the results in the form of tangible documents. The deductive method accompanied with the spice of creativity in the experiment style has been the fundamental foundation of the current research paper. The author of the current study has attempted to retest the current research project in the framework of medical audiology and artificial intelligence through editing the scientific experiments in order to make use of the results in confirming his claim. What has been concluded from the current research paper is the word and phraseological supernatural phonetic effects on semantics and they can be deemed as the sensual interactional manifestation and as inducing a vast spectrum of meanings and semantic features.

  7. COLOUR TERMS IN MODERN LINGUISTICS: SEMANTIC AND SEMIOTIC ASPECTS

    Directory of Open Access Journals (Sweden)

    E. V. SAPIGA

    2016-01-01

    Full Text Available The article is devoted to the study of colour terms in modern linguistics, and in particular its semantic and semiotic aspects. The aim of the article is to identify the lexical-semantic features of colour terms in the definition of national cultural identity of linguistic and speech means. Special attention is paid to semantic diversity of colour symbolism, which is closely related to psychological perception and has numerous crosscultural differences in relation to the events in people's lives. The article analyzes the so-called colour vocabulary, namely, the colour -indication, describing shades of colour that have a narrative structure and are in direct and additional value. In particular, we take into account the metaphorical reconsiderations of the peripheral color-namings and color terms, which include, for example, borrowed and terminological adjectives, neologisms, archaisms, nonce words etc. From the point of view of belonging the colorindication to different parts of speech, a significant group is made by adjectives , suffixal formation, etc. The lexico-semantic field of colour has a high degree of organization. Modern researches of determining the nature of lexical-semantic field of colour terms confirm the presence of about ten pigment genes, which are individual for each person. A defined set of pigment genes allows a person to perceive colour and its shades in different ways. Observations of colour perception in people of different cultures discover the dependence and the relationship between concepts and words in various systems, which explain the differences in the reactions to colour and the absence of a specific hue in different cultures. The analysis revealed the close relationship of colour symbolism with a mental and psychological component that reflects the moods, the reality and situation-specific nature of the occurring phenomena.

  8. 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. �...

  9. Semantics, contrastive linguistics and parallel corpora

    Directory of Open Access Journals (Sweden)

    Violetta Koseska

    2014-09-01

    Full Text Available Semantics, contrastive linguistics and parallel corpora In view of the ambiguity of the term “semantics”, the author shows the differences between the traditional lexical semantics and the contemporary semantics in the light of various semantic schools. She examines semantics differently in connection with contrastive studies where the description must necessary go from the meaning towards the linguistic form, whereas in traditional contrastive studies the description proceeded from the form towards the meaning. This requirement regarding theoretical contrastive studies necessitates construction of a semantic interlanguage, rather than only singling out universal semantic categories expressed with various language means. Such studies can be strongly supported by parallel corpora. However, in order to make them useful for linguists in manual and computer translations, as well as in the development of dictionaries, including online ones, we need not only formal, often automatic, annotation of texts, but also semantic annotation - which is unfortunately manual. In the article we focus on semantic annotation concerning time, aspect and quantification of names and predicates in the whole semantic structure of the sentence on the example of the “Polish-Bulgarian-Russian parallel corpus”.

  10. Semantic dementia: Brazilian study of nineteen cases

    Directory of Open Access Journals (Sweden)

    Mirna Lie Hosogi Senaha

    Full Text Available 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 this syndrome. Methods: Nineteen cases with semantic dementia were evaluated between 1999 and 2007. All patients were submitted to neurological evaluation, neuroimaging exams and cognitive, language and semantic memory evaluation. Results: All patients presented fluent spontaneous speech, preservation of syntactic and phonological aspects of the language, word-finding difficulty, semantic paraphasias, word comprehension impairment, low performance in visual confrontation naming tasks, impairment on tests of non-verbal semantic memory and preservation of autobiographical memory and visuospatial skills. Regarding radiological investigations, temporal lobe atrophy and/or hypoperfusion were found in all patients. Conclusions: The cognitive, linguistic and of neuroimaging data in our case series corroborate other studies showing that semantic dementia constitutes a syndrome with well defined clinical characteristics associated to temporal lobe atrophy.

  11. Ontology Based Feature Driven Development Life Cycle

    Directory of Open Access Journals (Sweden)

    Farheen Siddiqui

    2012-01-01

    Full Text Available The upcoming technology support for semantic web promises fresh directions for Software Engineering community. Also semantic web has its roots in knowledge engineering that provoke software engineers to look for application of ontology applications throughout the Software Engineering lifecycle. The internal components of a semantic web are "light weight", and may be of less quality standards than the externally visible modules. In fact the internal components are generated from external (ontological component. That's the reason agile development approaches such as feature driven development are suitable for applications internal component development. As yet there is no particular procedure that describes the role of ontology in FDD processes. Therefore we propose an ontology based feature driven development for semantic web application that can be used form application model development to feature design and implementation. Features are precisely defined in the OWL-based domain model. Transition from OWL based domain model to feature list is directly defined in transformation rules. On the other hand the ontology based overall model can be easily validated through automated tools. Advantages of ontology-based feature Driven development are also discussed.

  12. Semantic priming of familiar songs.

    Science.gov (United States)

    Johnson, Sarah K; Halpern, Andrea R

    2012-05-01

    We explored the functional organization of semantic memory for music by comparing priming across familiar songs both within modalities (Experiment 1, tune to tune; Experiment 3, category label to lyrics) and across modalities (Experiment 2, category label to tune; Experiment 4, tune to lyrics). Participants judged whether or not the target tune or lyrics were real (akin to lexical decision tasks). We found significant priming, analogous to linguistic associative-priming effects, in reaction times for related primes as compared to unrelated primes, but primarily for within-modality comparisons. Reaction times to tunes (e.g., "Silent Night") were faster following related tunes ("Deck the Hall") than following unrelated tunes ("God Bless America"). However, a category label (e.g., Christmas) did not prime tunes from within that category. Lyrics were primed by a related category label, but not by a related tune. These results support the conceptual organization of music in semantic memory, but with potentially weaker associations across modalities.

  13. Semantic annotation of medical images

    Science.gov (United States)

    Seifert, Sascha; Kelm, Michael; Moeller, Manuel; Mukherjee, Saikat; Cavallaro, Alexander; Huber, Martin; Comaniciu, Dorin

    2010-03-01

    Diagnosis and treatment planning for patients can be significantly improved by comparing with clinical images of other patients with similar anatomical and pathological characteristics. This requires the images to be annotated using common vocabulary from clinical ontologies. Current approaches to such annotation are typically manual, consuming extensive clinician time, and cannot be scaled to large amounts of imaging data in hospitals. On the other hand, automated image analysis while being very scalable do not leverage standardized semantics and thus cannot be used across specific applications. In our work, we describe an automated and context-sensitive workflow based on an image parsing system complemented by an ontology-based context-sensitive annotation tool. An unique characteristic of our framework is that it brings together the diverse paradigms of machine learning based image analysis and ontology based modeling for accurate and scalable semantic image annotation.

  14. A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations.

    Science.gov (United States)

    Kurtz, Camille; Beaulieu, Christopher F; Napel, Sandy; Rubin, Daniel L

    2014-06-01

    Computer-assisted image retrieval applications could assist radiologist interpretations by identifying similar images in large archives as a means to providing decision support. However, the semantic gap between low-level image features and their high level semantics may impair the system performances. Indeed, it can be challenging to comprehensively characterize the images using low-level imaging features to fully capture the visual appearance of diseases on images, and recently the use of semantic terms has been advocated to provide semantic descriptions of the visual contents of images. However, most of the existing image retrieval strategies do not consider the intrinsic properties of these terms during the comparison of the images beyond treating them as simple binary (presence/absence) features. We propose a new framework that includes semantic features in images and that enables retrieval of similar images in large databases based on their semantic relations. It is based on two main steps: (1) annotation of the images with semantic terms extracted from an ontology, and (2) evaluation of the similarity of image pairs by computing the similarity between the terms using the Hierarchical Semantic-Based Distance (HSBD) coupled to an ontological measure. The combination of these two steps provides a means of capturing the semantic correlations among the terms used to characterize the images that can be considered as a potential solution to deal with the semantic gap problem. We validate this approach in the context of the retrieval and the classification of 2D regions of interest (ROIs) extracted from computed tomographic (CT) images of the liver. Under this framework, retrieval accuracy of more than 0.96 was obtained on a 30-images dataset using the Normalized Discounted Cumulative Gain (NDCG) index that is a standard technique used to measure the effectiveness of information retrieval algorithms when a separate reference standard is available. Classification

  15. Introspections on the Semantic Gap

    Science.gov (United States)

    2015-04-14

    essential goal of virtual machine introspection ( VMI ) is security policy enforcement in the presence of an untrustworthy OS. One obstacle to this goal is...ABSTRACT Introspections on the Semantic Gap Report Title An essential goal of virtual machine introspection ( VMI ) is security policy enforcement in the...machine introspection ( VMI ) is security policy enforcement in the presence of an untrustworthy OS. One obstacle to this goal is the difficulty in

  16. Semantic Oriented Intelligent Electronic Learning

    OpenAIRE

    Ahmed, Zeeshan; Gerhard, Detlef

    2010-01-01

    In this research paper we describe semantic oriented information engineering and knowledge management based solution towards E-Learning systems. We also try to justify the importance of proposed solution with respect to the E-Learning Approaches .i.e., Behavior, Objectivism, Cognitive and Construction. Moreover we briefly describe E-Learning, information engineering, knowledge management and some old and newly available technologies supporting development of E-Learning Systems in this researc...

  17. Operational Reasoning and Denotational Semantics

    Science.gov (United States)

    1975-08-01

    form is correctly computed by the interpreter. This is used to justify an inference rule - called ’LISP-induction* - which formalises induction on... peper contains example,? of the use of operational reasoning to prove properties of a denotationai semantics. By "operational reasoning" is meant...programs. This rule - called "LISP-induction" - is induction on the length of computations on the interpreter. Because the interpreter is correct LISP

  18. Dynamic Logic with Trace Semantics

    OpenAIRE

    Beckert, Bernhard; Bruns, Daniel

    2013-01-01

    Dynamic logic is an established instrument for program verification and for reasoning about the semantics of programs and programming languages. In this paper, we define an extension of dynamic logic, called Dynamic Trace Logic (DTL), which combines the expressiveness of program logics such as dynamic logic with that of temporal logic. And we present a sound and relatively complete sequent calculus for proving validity of DTL formulae. Due to its expressiveness, DTL can serve as a basis for p...

  19. Towards Compatible and Interderivable Semantic Specifications for the Scheme Programming Language, Part I: Denotational Semantics, Natural Semantics, and Abstract Machines

    DEFF Research Database (Denmark)

    Danvy, Olivier

    2009-01-01

    We derive two big-step abstract machines, a natural semantics, and the valuation function of a denotational semantics based on the small-step abstract machine for Core Scheme presented by Clinger at PLDI'98. Starting from a functional implementation of this small-step abstract machine, (1) we fuse...... refunctionalize this adjusted abstract machine, obtaining the functional implementation of a natural semantics in continuation-passing style; and (4) we closure-unconvert this natural semantics, obtaining a compositional continuation-passing evaluation function which we identify as the functional implementation...

  20. Towards Compatible and Interderivable Semantic Specifications for the Scheme Programming Language, Part I: Denotational Semantics, Natural Semantics, and Abstract Machines

    DEFF Research Database (Denmark)

    Danvy, Olivier

    2008-01-01

    We derive two big-step abstract machines, a natural semantics, and the valuation function of a denotational semantics based on the small-step abstract machine for Core Scheme presented by Clinger at PLDI'98. Starting from a functional implementation of this small-step abstract machine, (1) we fuse...... refunctionalize this adjusted abstract machine, obtaining the functional implementation of a natural semantics in continuation style; and (4) we closure-unconvert this natural semantics, obtaining a compositional continuation-passing evaluation function which we identify as the functional implementation...

  1. Semantic Interoperability in Electronic Business

    Directory of Open Access Journals (Sweden)

    Juha Puustjarvi

    2010-09-01

    Full Text Available E-business refers to the utilization of information and communication technologies (ICT in support of all the activities of business. The standards developed for e-business help to facilitate the deployment of e-business. In particular, several organizations in e-business sector have produced standards and representation forms using XML. It serves as an interchange format for exchanging data between communicating applications. However, XML says nothing about the semantics of the used tags. XML is merely a standard notation for markup languages, which provides a means for structuring documents. Therefore the XML-based e-business software is developed by hard-coding. Hard-coding is proven to be a valuable and powerful way for exchanging structured and persistent business documents. However, if we use hard-coding in the case of non-persistent documents and non-static environments we will encounter problems in deploying new document types as it requires a long lasting standardization process. Replacing existing hard-coded ebusiness systems by open systems that support semantic interoperability, and which are easily extensible, is the topic of this article. We first consider XML-based technologies and standards developed for B2B interoperation. Then, we consider electronic auctions, which represent a form of e-business. In particular, we represent how semantic interoperability can be achieved in electronic auctions.

  2. Entropy, semantic relatedness and proximity.

    Science.gov (United States)

    Hahn, Lance W; Sivley, Robert M

    2011-09-01

    Although word co-occurrences within a document have been demonstrated to be semantically useful, word interactions over a local range have been largely neglected by psychologists due to practical challenges. Shannon's (Bell Systems Technical Journal, 27, 379-423, 623-665, 1948) conceptualization of information theory suggests that these interactions should be useful for understanding communication. Computational advances make an examination of local word-word interactions possible for a large text corpus. We used Brants and Franz's (2006) dataset to generate conditional probabilities for 62,474 word pairs and entropy calculations for 9,917 words in Nelson, McEvoy, and Schreiber's (Behavior Research Methods, Instruments, & Computers, 36, 402-407, 2004) free association norms. Semantic associativity correlated moderately with the probabilities and was stronger when the two words were not adjacent. The number of semantic associates for a word and the entropy of a word were also correlated. Finally, language entropy decreases from 11 bits for single words to 6 bits per word for four-word sequences. The probabilities and entropies discussed here are included in the supplemental materials for the article.

  3. Combining and Relating Control Effects and their Semantics

    Directory of Open Access Journals (Sweden)

    James Laird

    2013-09-01

    Full Text Available Combining local exceptions and first class continuations leads to programs with complex control flow, as well as the possibility of expressing powerful constructs such as resumable exceptions. We describe and compare games models for a programming language which includes these features, as well as higher-order references. They are obtained by contrasting methodologies: by annotating sequences of moves with ''control pointers'' indicating where exceptions are thrown and caught, and by composing the exceptions and continuations monads. The former approach allows an explicit representation of control flow in games for exceptions, and hence a straightforward proof of definability (full abstraction by factorization, as well as offering the possibility of a semantic approach to control flow analysis of exception-handling. However, establishing soundness of such a concrete and complex model is a non-trivial problem. It may be resolved by establishing a correspondence with the monad semantics, based on erasing explicit exception moves and replacing them with control pointers.

  4. Semantic HyperMultimedia Adaptation Schemes and Applications

    CERN Document Server

    Bieliková, Mária; Mylonas, Phivos; Tsapatsoulis, Nicolas

    2013-01-01

    Nowadays, more and more users are witnessing the impact of Hypermedia/Multimedia as well as the penetration of social applications in their life. Parallel to the evolution of the Internet and Web, several Hypermedia/Multimedia schemes and technologies bring semantic-based intelligent, personalized and adaptive services to the end users. More and more techniques are applied in media systems in order to be user/group-centric, adapting to different content and context features of a single or a community user. In respect to all the above, researchers need to explore and study the plethora of challenges that emergent personalisation and adaptation technologies bring to the new era. This edited volume aims to increase the awareness of researchers in this area. All contributions provide an in-depth investigation on research and deployment issues, regarding already introduced schemes and applications in Semantic Hyper/Multimedia and Social Media Adaptation. Moreover, the authors provide survey-based articles, so as p...

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

    DEFF Research Database (Denmark)

    Møgelberg, Rasmus Ejlers; Paviotti, Marco

    2016-01-01

    Guarded recursion is a form of recursion where recursive calls are guarded by delay modalities. Previous work has shown how guarded recursion is useful for reasoning operationally about programming languages with advanced features including general references, recursive types, countable non...... 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...

  6. Electrophysiological correlates of cross-linguistic semantic integration in hearing signers: N400 and LPC.

    Science.gov (United States)

    Zachau, Swantje; Korpilahti, Pirjo; Hämäläinen, Jarmo A; Ervast, Leena; Heinänen, Kaisu; Suominen, Kalervo; Lehtihalmes, Matti; Leppänen, Paavo H T

    2014-07-01

    We explored semantic integration mechanisms in native and non-native hearing users of sign language and non-signing controls. Event-related brain potentials (ERPs) were recorded while participants performed a semantic decision task for priming lexeme pairs. Pairs were presented either within speech or across speech and sign language. Target-related ERP responses were subjected to principal component analyses (PCA), and neurocognitive basis of semantic integration processes were assessed by analyzing the N400 and the late positive complex (LPC) components in response to spoken (auditory) and signed (visual) antonymic and unrelated targets. Semantically-related effects triggered across modalities would indicate a similar tight interconnection between the signers׳ two languages like that described for spoken language bilinguals. Remarkable structural similarity of the N400 and LPC components with varying group differences between the spoken and signed targets were found. The LPC was the dominant response. The controls׳ LPC differed from the LPC of the two signing groups. It was reduced to the auditory unrelated targets and was less frontal for all the visual targets. The visual LPC was more broadly distributed in native than non-native signers and was left-lateralized for the unrelated targets in the native hearing signers only. Semantic priming effects were found for the auditory N400 in all groups, but only native hearing signers revealed a clear N400 effect to the visual targets. Surprisingly, the non-native signers revealed no semantically-related processing effect to the visual targets reflected in the N400 or the LPC; instead they appeared to rely more on visual post-lexical analyzing stages than native signers. We conclude that native and non-native signers employed different processing strategies to integrate signed and spoken semantic content. It appeared that the signers׳ semantic processing system was affected by group-specific factors like language

  7. Designing Knowledge of The PPC with Semantic Network

    Science.gov (United States)

    Fajar Santoso, Ari; Supriana, Iping; Surendro, Kridanto

    2017-01-01

    A manufacturing process is a very complex activity, which involves a variety of knowledge, such as the product design and description, manufacturing operations, tools, machines, and the relationships between these entities. Production planning control (PPC) as dominant part of manufacturing process has a very important role in determining the measures taken by the management of company. The PPC construction is an interactive process that requires the collaboration of both ICT and manufacture experts. Building PPC process can be used as a basis for making knowledge in manufacturing domain that will be used in manufacturing intelligent system. This paper describes about designing knowledge with semantic network in the production scheduling.

  8. An Operational Semantics for Trust Policies

    DEFF Research Database (Denmark)

    Krukow, Karl Kristian

    2005-01-01

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

  9. A Denotational Semantics for Logic Programming

    DEFF Research Database (Denmark)

    Frandsen, Gudmund Skovbjerg

    A fully abstract denotational semantics for logic programming has not been constructed yet. In this paper we present a denotational semantics that is almost fully abstract. We take the meaning of a logic program to be an element in a Plotkin power domain of substitutions. In this way our result...... shows that standard domain constructions suffice, when giving a semantics for logic programming. Using the well-known fixpoint semantics of logic programming we have to consider two different fixpoints in order to obtain information about both successful and failed computations. In contrast, our...... semantics is uniform in that the (single) meaning of a logic program contains information about both successful, failed and infinite computations. Finally, based on the full abstractness result, we argue that the detail level of substitutions is needed in any denotational semantics for logic programming....

  10. Discovery and Selection of Semantic Web Services

    CERN Document Server

    Wang, Xia

    2013-01-01

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

  11. Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography

    Science.gov (United States)

    Raicu, Daniela S.; Varutbangkul, Ekarin; Cisneros, Janie G.; Furst, Jacob D.; Channin, David S.; Armato, Samuel G., III

    2007-03-01

    Useful diagnosis of lung lesions in computed tomography (CT) depends on many factors including the ability of radiologists to detect and correctly interpret the lesions. Computer-aided Diagnosis (CAD) systems can be used to increase the accuracy of radiologists in this task. CAD systems are, however, trained against ground truth and the mechanisms employed by the CAD algorithms may be distinctly different from the visual perception and analysis tasks of the radiologist. In this paper, we present a framework for finding the mappings between human descriptions and characteristics and computed image features. The data in our study were generated from 29 thoracic CT scans collected by the Lung Image Database Consortium (LIDC). Every case was annotated by up to 4 radiologists by marking the contour of nodules and assigning nine semantic terms to each identified nodule; fifty-nine image features were extracted from each segmented nodule. Correlation analysis and stepwise multiple regression were applied to find correlations among semantic characteristics and image features and to generate prediction models for each characteristic based on image features. From our preliminary experimental results, we found high correlations between different semantic terms (margin, texture), and promising mappings from image features to certain semantic terms (texture, lobulation, spiculation, malignancy). While the framework is presented with respect to the interpretation of pulmonary nodules in CT images, it can be easily extended to find mappings for other modalities in other anatomical structures and for other image features.

  12. The hierarchical organization of semantic memory: executive function in the processing of superordinate concepts.

    Science.gov (United States)

    Raposo, Ana; Mendes, Mafalda; Marques, J Frederico

    2012-01-16

    Research on the processing of objects at different hierarchical levels has suggested that understanding superordinate concepts (e.g. fruit), relative to basic level concepts (e.g. apple), requires greater semantic control demands. Yet, it is unclear which factors underlie this difference in executive processing. We built on previous research showing that superordinate concepts have less shared features among their members and therefore may involve higher semantic control requirements. To test this hypothesis, we developed an fMRI study in which we orthogonally manipulated feature sharedness (more shared vs. less shared) and concept level (superordinate vs. basic) in a sentence verification task. Sentences involving less shared features, relative to more shared features, significantly engaged the L lateral PFC. Importantly, sentences that included superordinate concepts, relative to those with basic level concepts, also revealed a stronger response in L lateral PFC, along with posterior temporal gyrus activation. There was also a significant interaction between feature sharedness and concept level in several PFC regions and L posterior temporal areas. The results suggest that relative to basic level concepts, processing superordinate concepts requires extra semantic control in L lateral PFC to coordinate information that is less shared by other members of the category level. These findings demonstrate that feature sharedness impacts the neural basis of semantic knowledge, and is a critical dimension in the processing of superordinate concepts.

  13. Efecto de la riqueza semántica en distintos niveles del procesamiento léxico-semántico (Semantic richness effect at different levels of lexical-semantic processing

    Directory of Open Access Journals (Sweden)

    Mauro Fragapane

    2017-08-01

    Full Text Available Semantic richness is a multidimensional construct that refers to the extent of variability of information associated with the meaning of a word. The Number of Features (NoF is a dimension of semantic richness that has been shown to have a major influence on lexical and semantic processing. Several studies have shown that concepts with a higher NoF allow faster lexical processing than those with a lower NoF. The current study is the first to use a NoF measure based on norms obtained from a sample of Spanish-speaking participants. The aim was to study the effect of this variable in visual word recognition. The sample included 90 young native Spanish-speaking adults. Three tasks were administered that require access to different lexico-semantic levels: lexical decision, concreteness semantic categorization (concrete/abstract, and domain semantic categorization (living/non-living. A semantic richness effect was found in lexical decision and domain semantic categorization tasks, with greater effect in the latter task. Results are interpreted within the framework of the General Domain Interactive Activation model.

  14. Two Congruent Semantics for Prolog with CUT

    Institute of Scientific and Technical Information of China (English)

    朱明远

    1990-01-01

    The development of a formal semantics for a given programming language can proceed in several stages,At each stage we give an alternative semantic definition of the language,and each definition embodies successively more and more implementation details.Then we formulate and prove at each stage the congruence conditions between successive definitions in the sequence.This paper presents two formal semantics for Prolog with “cut” and shows the congruence condition between them.

  15. Semantics-based Automated Web Testing

    OpenAIRE

    Hai-Feng Guo; Qing Ouyang; Harvey Siy

    2015-01-01

    We present TAO, a software testing tool performing automated test and oracle generation based on a semantic approach. TAO entangles grammar-based test generation with automated semantics evaluation using a denotational semantics framework. We show how TAO can be incorporated with the Selenium automation tool for automated web testing, and how TAO can be further extended to support automated delta debugging, where a failing web test script can be systematically reduced based on grammar-direct...

  16. Metadata for semantic and social applications

    OpenAIRE

    2008-01-01

    Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semant...

  17. Knowledge Organization Systems for Semantic Digital Libraries

    OpenAIRE

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

    2012-01-01

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

  18. Bridging data mining and semantic web

    OpenAIRE

    Aman, Edris

    2016-01-01

    Nowadays Semantic Web is widely adopted standard of knowledge representation. Hence, knowledge engineers are applying sophisticated methods to capture, discover and represent knowledge in Semantic Web form. Studies show that, to represent knowledge in Semantic Web standard, data mining techniques such as Decision Trees, Association Rules, etc., play an important role. These techniques are implemented in publicly available Data Mining tools. These tools represent knowledge discovered in human ...

  19. Dominant Voice in Hamlet

    Institute of Scientific and Technical Information of China (English)

    李丹

    2015-01-01

    <正>The Tragedy of Hamlet dramatizes the revenge Prince Hamlet exacts on his uncle Claudius for murdering King Hamlet,Claudius’s brother and Prince Hamlet’s father,and then succeeding to the throne and taking as his wife Gertrude,the old king’s widow and Prince Hamlet’s mother.This paper will discuss something about dominant voice in the play.Dominant voice is the major voice in the country,the society,or the whole world.Those people who have the power or

  20. Neural correlates of the object-recall process in semantic memory.

    Science.gov (United States)

    Assaf, Michal; Calhoun, Vince D; Kuzu, Cheedem H; Kraut, Michael A; Rivkin, Paul R; Hart, John; Pearlson, Godfrey D

    2006-10-30

    The recall of an object from features is a specific operation in semantic memory in which the thalamus and pre-supplementary motor area (pre-SMA) are integrally involved. Other higher-order semantic cortices are also likely to be involved. We used the object-recall-from-features paradigm, with more sensitive scanning techniques and larger sample size, to replicate and extend our previous results. Eighteen right-handed healthy participants performed an object-recall task and an association semantic task, while undergoing functional magnetic resonance imaging. During object-recall, subjects determined whether words pairs describing object features combined to recall an object; during the association task they decided if two words were related. Of brain areas specifically involved in object recall, in addition to the thalamus and pre-SMA, other regions included the left dorsolateral prefrontal cortex, inferior parietal lobule, and middle temporal gyrus, and bilateral rostral anterior cingulate and inferior frontal gyri. These regions are involved in semantic processing, verbal working memory and response-conflict detection and monitoring. The thalamus likely helps to coordinate activity of these different brain areas. Understanding the circuit that normally mediates this process is relevant for schizophrenia, where many regions in this circuit are functionally abnormal and semantic memory is impaired.

  1. Ontology patterns for complex topographic feature yypes

    Science.gov (United States)

    Varanka, Dalia E.

    2011-01-01

    Complex feature types are defined as integrated relations between basic features for a shared meaning or concept. The shared semantic concept is difficult to define in commonly used geographic information systems (GIS) and remote sensing technologies. The role of spatial relations between complex feature parts was recognized in early GIS literature, but had limited representation in the feature or coverage data models of GIS. Spatial relations are more explicitly specified in semantic technology. In this paper, semantics for topographic feature ontology design patterns (ODP) are developed as data models for the representation of complex features. In the context of topographic processes, component assemblages are supported by resource systems and are found on local landscapes. The topographic ontology is organized across six thematic modules that can account for basic feature types, resource systems, and landscape types. Types of complex feature attributes include location, generative processes and physical description. Node/edge networks model standard spatial relations and relations specific to topographic science to represent complex features. To demonstrate these concepts, data from The National Map of the U. S. Geological Survey was converted and assembled into ODP.

  2. Complex Topographic Feature Ontology Patterns

    Science.gov (United States)

    Varanka, Dalia E.; Jerris, Thomas J.

    2015-01-01

    Semantic ontologies are examined as effective data models for the representation of complex topographic feature types. Complex feature types are viewed as integrated relations between basic features for a basic purpose. In the context of topographic science, such component assemblages are supported by resource systems and found on the local landscape. Ontologies are organized within six thematic modules of a domain ontology called Topography that includes within its sphere basic feature types, resource systems, and landscape types. Context is constructed not only as a spatial and temporal setting, but a setting also based on environmental processes. Types of spatial relations that exist between components include location, generative processes, and description. An example is offered in a complex feature type ‘mine.’ The identification and extraction of complex feature types are an area for future research.

  3. SSWAP: A Simple Semantic Web Architecture and Protocol for Semantic Web Services

    Science.gov (United States)

    SSWAP (Simple Semantic Web Architecture and Protocol) is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP is the driving technology behind the Virtual Plant Information Network, an NSF-funded semantic w...

  4. SemTrust: A Semantic Reputation System in P2P-Based Semantic Web

    Institute of Scientific and Technical Information of China (English)

    WANG Wei; ZENG Guosun; YUAN Lulai

    2006-01-01

    A reputation mechanism is introduced in P2P-based Semantic Web to solve the problem of lacking trust. It enables Semantic Web to utilize reputation information based on semantic similarity of peers in the network. This approach is evaluated in a simulation of a content sharing system and the experiments show that the system with reputation mechanism outperforms the system without it.

  5. Representations for Semantic Learning Webs: Semantic Web Technology in Learning Support

    Science.gov (United States)

    Dzbor, M.; Stutt, A.; Motta, E.; Collins, T.

    2007-01-01

    Recent work on applying semantic technologies to learning has concentrated on providing novel means of accessing and making use of learning objects. However, this is unnecessarily limiting: semantic technologies will make it possible to develop a range of educational Semantic Web services, such as interpretation, structure-visualization, support…

  6. Semantic Clustering of Search Engine Results.

    Science.gov (United States)

    Soliman, Sara Saad; El-Sayed, Maged F; Hassan, Yasser F

    2015-01-01

    This paper presents a novel approach for search engine results clustering that relies on the semantics of the retrieved documents rather than the terms in those documents. The proposed approach takes into consideration both lexical and semantics similarities among documents and applies activation spreading technique in order to generate semantically meaningful clusters. This approach allows documents that are semantically similar to be clustered together rather than clustering documents based on similar terms. A prototype is implemented and several experiments are conducted to test the prospered solution. The result of the experiment confirmed that the proposed solution achieves remarkable results in terms of precision.

  7. 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

  8. Statistical properties of Chinese semantic networks

    Institute of Scientific and Technical Information of China (English)

    LIU HaiTao

    2009-01-01

    Almost all language networks in word and syntactic levels are small-world and scale-free.This raises the questions of whether a language network in deeper semantic or cognitive level also has the similar properties.To answer the question,we built up a Chinese semantic network based on a treebank with semantic role (argument structure) annotation and investigated its global statistical properties.The results show that although semantic network is also small-world and scale-free,it is different from syntactic network in hierarchical structure and K-Nearest-Neighbor correlation.

  9. Semantic Clustering of Search Engine Results

    Directory of Open Access Journals (Sweden)

    Sara Saad Soliman

    2015-01-01

    Full Text Available This paper presents a novel approach for search engine results clustering that relies on the semantics of the retrieved documents rather than the terms in those documents. The proposed approach takes into consideration both lexical and semantics similarities among documents and applies activation spreading technique in order to generate semantically meaningful clusters. This approach allows documents that are semantically similar to be clustered together rather than clustering documents based on similar terms. A prototype is implemented and several experiments are conducted to test the prospered solution. The result of the experiment confirmed that the proposed solution achieves remarkable results in terms of precision.

  10. Similarity Based Semantic Web Service Match

    Science.gov (United States)

    Peng, Hui; Niu, Wenjia; Huang, Ronghuai

    Semantic web service discovery aims at returning the most matching advertised services to the service requester by comparing the semantic of the request service with an advertised service. The semantic of a web service are described in terms of inputs, outputs, preconditions and results in Ontology Web Language for Service (OWL-S) which formalized by W3C. In this paper we proposed an algorithm to calculate the semantic similarity of two services by weighted averaging their inputs and outputs similarities. Case study and applications show the effectiveness of our algorithm in service match.

  11. Semantics-based Automated Web Testing

    Directory of Open Access Journals (Sweden)

    Hai-Feng Guo

    2015-08-01

    Full Text Available We present TAO, a software testing tool performing automated test and oracle generation based on a semantic approach. TAO entangles grammar-based test generation with automated semantics evaluation using a denotational semantics framework. We show how TAO can be incorporated with the Selenium automation tool for automated web testing, and how TAO can be further extended to support automated delta debugging, where a failing web test script can be systematically reduced based on grammar-directed strategies. A real-life parking website is adopted throughout the paper to demonstrate the effectivity of our semantics-based web testing approach.

  12. Neural correlates underlying musical semantic memory.

    Science.gov (United States)

    Groussard, M; Viader, F; Landeau, B; Desgranges, B; Eustache, F; Platel, H

    2009-07-01

    Numerous functional imaging studies have examined the neural basis of semantic memory mainly using verbal and visuospatial materials. Musical material also allows an original way to explore semantic memory processes. We used PET imaging to determine the neural substrates that underlie musical semantic memory using different tasks and stimuli. The results of three PET studies revealed a greater involvement of the anterior part of the temporal lobe. Concerning clinical observations and our neuroimaging data, the musical lexicon (and most widely musical semantic memory) appears to be sustained by a temporo-prefrontal cerebral network involving right and left cerebral regions.

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

    Science.gov (United States)

    Ursino, Mauro; Cuppini, Cristiano; Magosso, Elisa

    2010-01-01

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

  14. Dominant cystoid macular dystrophy

    NARCIS (Netherlands)

    Saksens, N.T.M.; Huet, R.A.C. van; Lith-Verhoeven, J.J. van; Hollander, A.I. den; Hoyng, C.B.; Boon, C.J.

    2015-01-01

    OBJECTIVE: To describe the clinical characteristics and long-term follow-up in patients with autosomal dominant cystoid macular dystrophy (DCMD). DESIGN: Retrospective case series. PARTICIPANTS: Ninety-seven patients with DCMD. METHODS: Extensive ophthalmic examination, including visual acuity (VA),

  15. Iron dominated magnets

    Energy Technology Data Exchange (ETDEWEB)

    Fischer, G.E.

    1985-07-01

    These two lectures on iron dominated magnets are meant for the student of accelerator science and contain general treatments of the subjects design and construction. The material is arranged in the categories: General Concepts and Cost Considerations, Profile Configuration and Harmonics, Magnetic Measurements, a few examples of ''special magnets'' and Materials and Practices. Extensive literature is provided.

  16. discourse of domination

    African Journals Online (AJOL)

    suffering justifies the position and work of The Bank and other social forces with similar ... include accounts of the growing and increasingly interwoven resistance in .... tural domination or as parasites able to feed off a social body weakened by the ... through objective analysis of poor people's descriptions of their realities'.

  17. Searching for world domination

    CERN Multimedia

    Quillen, E

    2004-01-01

    "Optimists might believe Microsoft suffered a setback last week that will impede its progress toward world domination, but I suspect the company has already found a way to prevail. At issue before the European Union was Microsoft's bundling of its Windows Media Player with its operating system" (1 page)

  18. Autosomal dominant osteopetrosis revisited

    DEFF Research Database (Denmark)

    Bollerslev, Jens; Henriksen, Kim; Nielsen, Morten Frost Munk

    2013-01-01

    Systematic studies of autosomal dominant osteopetrosis (ADO) were followed by the identification of underlying mutations giving unique possibilities to perform translational studies. What was previously designated ADO1 turned out to be a high bone mass phenotype caused by a missense mutation...

  19. Dominant optic atrophy

    DEFF Research Database (Denmark)

    Lenaers, Guy; Hamel, Christian; Delettre, Cécile

    2012-01-01

    DEFINITION OF THE DISEASE: Dominant Optic Atrophy (DOA) is a neuro-ophthalmic condition characterized by a bilateral degeneration of the optic nerves, causing insidious visual loss, typically starting during the first decade of life. The disease affects primary the retinal ganglion cells (RGC...

  20. Trait dominance promotes reflexive staring at masked angry body postures

    NARCIS (Netherlands)

    Hortensius, R.; van Honk, J.; De Gelder, B.; Terburg, D.

    2014-01-01

    It has been shown that dominant individuals sustain eye-contact when non-consciously confronted with angry faces, suggesting reflexive mechanisms underlying dominance behaviors. However, dominance and submission can be conveyed and provoked by means of not only facial but also bodily features. So fa