Search results for "Semantic computing"

showing 10 items of 35 documents

Active Learning System in the Context of the Social Semantic Web

2013

In this paper we present the concept and the implementation of an Active Semantic Learning System that takes advantage of the Social Semantic Web in order to deliver an efficient and personalized learning experience to the learner. Active participation of the learner is encouraged through the social learning approach and through techniques that adapt the learning content to learners' needs and preferences. The semantic layer allows us to define a common understanding of the data used to describe the objects in the learning system. The objects in the learning system are described using semantic web technologies. Domain ontologies and explicit logic rules are defined in order to allow data in…

Information retrievalSemantic gridComputer sciencebusiness.industryHuman–computer interactionSemantic computingActive learningSemantic analyticsSemantic searchSemantic Web StackbusinessSemantic WebSocial Semantic Web2013 Sixth International Conference on Developments in eSystems Engineering
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SEMANTIC MANAGEMENT OF INTELLIGENT MULTI-AGENTS SYSTEMS IN A 3D ENVIRONMENT

2011

8 pages; International audience; This paper presents a new approach combining the 3D elements composing the environment of mobile agents with semantic descriptors from Building Information Models. Our proposal is based on the IFC standard, which is used in the field of Civil Engineering to build digital models of buildings during the design phase. The semantic of IFC objects composing the 3D environment is used to select and set up 3D objects and elements of simulation scenarios. The result of this process dynamically generates the input files for the JaSIM environment that performs the simulation. These files deserve the representation of the virtual environment in which the simulation is …

Knowledge managementComputer sciencebusiness.industryOntology0211 other engineering and technologiesIntelligent decision support system02 engineering and technologySemantic interoperabilityOntology (information science)Semantic data modelSemantic gridBuilding information modelingHuman–computer interactionInformation model[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Intelligent Multi-Agents SystemsSemantic computing021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]020201 artificial intelligence & image processing[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]businessKnowledge AcquisitionIndustry Foundation Classes
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Introduction to semantic knowledge base: Linguistic module

2013

Following paper presents main concepts of Semantic Knowledge Base in particular linguistic module. The main assumption is to develop solution that would be easily adoptable by various languages. The module design will be presented in Association Oriented Model to maintain inner compatibility of the Knowledgebase.

Knowledge representation and reasoningDeep linguistic processingComputer sciencebusiness.industryOpen Knowledge Base Connectivitycomputer.software_genreSemantic networkLinguisticsKnowledge-based systemsSemantic similaritySemantic computingSemantic Web StackArtificial intelligencebusinesscomputerNatural language processing2013 6th International Conference on Human System Interactions (HSI)
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MODULAR KNOWLEDGE REPRESENTATION IN ADVISOR AGENTS FOR SITUATION AWARENESS

2011

A modular knowledge representation framework for conversational agents is presented. The approach has been realized to suit the situation awareness paradigm. The modularity of the framework makes possible the composition of specific modules that deal with particular features, simplifying both the chatbot design process and its smartness. As a proof of concepts we have developed a modular, situation awareness oriented, KB for a conversational agent, which plays the role of an advisor aimed at helping a user to be in charge of a virtual town, inspired to the SimCity series game. The agent makes an extensive use of semantic computing techniques and is able to perceive, comprehend and project c…

Linguistics and LanguageDecision support systemKnowledge managementSituation awarenessKnowledge representation and reasoningComputer Networks and CommunicationsComputer sciencecomputer.software_genreModularityChatbotArtificial IntelligenceHuman–computer interactionSemantic computingDialog systemSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSituation awareness; conversational agents; decision support systemsbusiness.industryconversational agentModular designComputer Science ApplicationsSituation awarenebusinesscomputerdecision support systemsSoftwareInformation Systems
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Semantic Word Error Rate for Sentence Similarity

2016

Sentence similarity measures have applications in several tasks, including: Machine Translation, Paraphrase Iden- tification, Speech Recognition, Question-answering and Text Summarization. However, measures designed for these tasks are aimed at assessing equivalence rather than resemblance, partly departing from human cognition of similarity. While this is reasonable for these activities, it hinders the applicability of sentence similarity measures to other tasks. We therefore propose a new sentence similarity measure specifically designed for resemblance evaluation, in order to cover these fields better. Experimental results are discussed.

Machine translationComputer scienceSpeech recognitionWord error rate02 engineering and technologycomputer.software_genreParaphrase030507 speech-language pathology & audiology03 medical and health sciencesSemantic similarityArtificial IntelligenceLSAWord Error Rate0202 electrical engineering electronic engineering information engineeringsentence resemblanceEquivalence (formal languages)Latent Semantic AnalysiSemantic Word Error Ratesentence similarity measureSWERbusiness.industryLatent semantic analysisSentence SimilaritySemantic ComputingCognitionAutomatic summarizationComputer Networks and Communicationword relatedne020201 artificial intelligence & image processingArtificial intelligence0305 other medical sciencebusinesscomputerNatural language processingWERInformation Systems2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
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Semantics driven interaction using natural language in students tutoring

2007

The aim of this work is to introduce a semantic integration between an ontology and a chatbot in an Intelligent Tutoring Systems (ITS) to interact with students using natural language. The interaction process is driven by the use of a purposely defined ontology. In the ontology two types of conceptual relations are defined. Besides the usual relations, which are used to define the domain's structure, another type of relation is used to define the navigation schema inside the ontology according to the need of managing uncertainty. Uncertainty level is related to student knowledge level about the involved concepts. In this work we propose an ITS for the Java programming language called TutorJ…

Ontology Inference LayerComputer sciencecomputer.internet_protocolOntology (information science)Semanticscomputer.software_genreOWL-SIntelligent tutoring systemsLatent semantic analysisNatural language dialogueSemantic driven interactionSemantic navigationSemantic similaritySemantic computingSchema (psychology)Upper ontologySemantic integrationSemantic compressionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionisemantic navigationLatent semantic analysisbusiness.industryOntology-based data integrationKnowledge levelIntelligent Tutoring SystemsOntologylatent semantic analysisArtificial intelligencesemantic driven interactionbusinesscomputernatural language dialogueNatural language processing
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Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections

2011

A scheme for identifying the semantic layers of music-related tags is presented. Arguments are provided why the applications of the tags cannot be effectively pursued without a reasonable understanding of their semantic qualities. The identification scheme consists of a set of filters. The first is related with social consensus, user-count ratio, and n-gram properties of tags. The next relies on look-up functions across multiple databases to determine the probable semantic layer of each tag. Examples of the semantic layers with prevalence rates are given based on application of the scheme to a subset of the Million Song Dataset. Finally, a validation of the results was carried out with an i…

Set (abstract data type)Scheme (programming language)Identification (information)Information retrievalComputer scienceSemantic computingMusic information retrievalSemantic Web Stackcomputercomputer.programming_language2011 10th International Conference on Machine Learning and Applications and Workshops
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Semantic traffic applications based on DatexII

2009

In this work we demonstrate a particular use of ontologies based on the European specifications DATEXII. These specifications are designed and developed as a traffic and travel data exchange mechanism by a European task force to set up and standardise the interface between traffic control and information centres. It is the reference for applications that are developed and implemented in Europe.This language describes concepts and structures of data related to traffic, but the description is just syntactic, not semantic. Therefore the objective to be reached in this part of the research has been to develop a semantic description in order to carry out some applications like syndication and a …

Set (abstract data type)Web syndicationSemantic gridInformation retrievalInterface (Java)Computer scienceData exchangeSemantic computingSemantic analyticsSemantic Web StackData miningcomputer.software_genrecomputerProceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship
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A Semantic Similarity Measure for the SIMS Framework

2008

The amount of currently available digital information grows rapidly. Relevant information is often spread over different information sources. An efficient and flexible framework to allow users to satisfy ef- fectively their information needs is required. The work presented in this paper describes SIMS (Semantic Information Management System), a ref- erence architecture for a framework performing semantic annotation, search and retrieval of information from multiple sources. The work pre- sented in this paper focuses on a specific SIMS module, the SIMS Semantic Content Navigator, proposing an algorithm and the related implementa- tion to calculate a semantic similarity measure inside an OWL …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer scienceInformation needsWeb Ontology Languageknowledge managementOntology (information science)Semantic gridSemantic similaritySemantic similarityExplicit semantic analysisSemantic computingOntologySemantic technologySemantic integrationontologySemantic Web StackcomputerInformation filtering systemcomputer.programming_language
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An A* Based Semantic Tokenizer for Increasing the Performance of Semantic Applications

2013

Semantic Applications (SAs) makes use of ontolo- gies and their performance can depend on the syntactic labels of the modeled entities; even if several approaches have been devised to formalize ontologies, no formal approaches have been devised for naming their constituents, which look as long word concatenations without any particular separation. We present a novel semantic tokenizer that finds the sub-words through an application of the A* based search algorithm; the A* functions rely on a set of linguistic criteria and on the meta-cognitive perspective of the activity of reading.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer sciencebusiness.industrySemantic searchOntology (information science)computer.software_genreSemantic tokenizer ontology A* tree search UIMASet (abstract data type)Semantic similaritySearch algorithmSemantic computingSemantic analyticsArtificial intelligencebusinesscomputerWord (computer architecture)Natural language processing2013 IEEE Seventh International Conference on Semantic Computing
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