Search results for " Reason"

showing 10 items of 465 documents

Knowledge Representation and Cognitive Skills in Problem Solving

2017

This paper offers a programmatic view on the study of cross-linguistic variation and its effects on human cognitive skills. Based on Linguistic Typology and its methodology to account for cross-linguistic differences (section 2), it will show how the presence or absence of certain grammatical categories enhances or inhibits specific skills in the domain of quantification (section 3). In its main part (section 4), it will show how to describe structural differences between the source and the target language in translation and how to find out if these differences affect the performance of students in knowledge assessment tests. For that purpose, it will compare the English and the Japanese ve…

Variation (linguistics)Knowledge representation and reasoningComputer scienceSection (archaeology)CognitionLanguage and thoughtGrammatical categoryCognitive skillCognitive psychologyLinguistic typology
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Systematic classification of two-loop realizations of the Weinberg operator

2015

We systematically analyze the $d=5$ Weinberg operator at 2-loop order. Using a diagrammatic approach, we identify two different interesting categories of neutrino mass models: (i) Genuine 2-loop models for which both, tree-level and 1-loop contributions, are guaranteed to be absent. And (ii) finite 2-loop diagrams, which correspond to the 1-loop generation of some particular vertex appearing in a given 1-loop neutrino mass model, thus being effectively 2-loop. From the large list of all possible 2-loop diagrams, the vast majority are infinite corrections to lower order neutrino mass models and only a moderately small number of diagrams fall into these two interesting classes. Moreover, all …

Vertex (graph theory)PhysicsClass (set theory)Nuclear and High Energy PhysicsSmall numberFOS: Physical sciencesFísicaLoop (topology)Diagrammatic reasoningTheoretical physicsHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Operator (computer programming)Quantum mechanicsOrder (group theory)Neutrino
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$$PO^2$$ - A Process and Observation Ontology in Food Science. Application to Dairy Gels

2016

This paper focuses on the knowledge representation task for an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The originality of this project is to combine data from different disciplines like food composition, food structure, sensorial perception and nutrition. Available data sets are described using different vocabularies and are stored in different formats. Therefore there is a need to define an ontology, called \(PO^2\) (Process and Observation Ontology), as a common and standardized vocabulary for this project. The scenario 6 of the NeON methodology was used for building \(PO^2\) and the core component is implemented i…

VocabularyKnowledge representation and reasoningComputer scienceProcess (engineering)media_common.quotation_subject010401 analytical chemistry04 agricultural and veterinary sciencesOntology (information science)040401 food science01 natural sciences0104 chemical sciencesTask (project management)0404 agricultural biotechnologyOriginalityProduction (computer science)Food scienceLayer (object-oriented design)media_common
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Conceptual graph operations for formal visual reasoning in the medical domain

2014

International audience; Objective - Conceptual graphs (CGs) are used to represent clinical guidelines because they support visual reasoning with a logical background, making them a potentially valuable representation for guidelines.Materials and methods - Conceptual graph formalism has an essential and basic component: a formal vocabulary that drives all of the other mechanisms, notably specialization and projection. The graph's theoretical operations, such as projection, rules, derivation, constraints, probabilities and uncertainty, support diagrammatic reasoning.Results - A conceptual graph's graphical user interface includes a multilingual vocabulary management, some query and decision-m…

VocabularyKnowledge representation and reasoningComputer sciencemedia_common.quotation_subjectBiomedical EngineeringBiophysicsHeart failurecomputer.software_genreVisual reasoning[INFO.INFO-IM]Computer Science [cs]/Medical ImagingClinical guidelines and protocolsGraphical user interfacemedia_commonImagerie médicalebusiness.industryVisual reasoningFormal semanticsDiagrammatic reasoningConceptual graphsKnowledge representationConceptual graphGraph (abstract data type)Artificial intelligenceUser interfacebusinesscomputerNatural language processing
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Ontology languages for the semantic web: A never completely updated review

2006

This paper gives a never completely account of approaches that have been used for the research community for representing knowledge. After underlining the importance of a layered approach and the use of standards, it starts with early efforts used for artificial intelligence researchers. Then recent approaches, aimed mainly at the semantic web, are described. Coding examples from the literature are presented in both sections. Finally, the semantic web ontology creation process, as we envision it, is introduced.

Web standardsOntology Inference LayerInformation Systems and ManagementKnowledge representation and reasoningComputer sciencecomputer.internet_protocolProcess ontologyOntology (information science)computer.software_genreSocial Semantic WebOWL-SManagement Information SystemsWorld Wide WebOpen Biomedical OntologiesArtificial IntelligenceSemantic computingSemantic analyticsUpper ontologySemantic Web StackSemantic Webbusiness.industryOntology-based data integrationSuggested Upper Merged OntologyOntology languageOntologyArtificial intelligencebusinessWeb intelligencecomputerOntology alignmentSoftwareNatural language processingKnowledge-Based Systems
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Domain Specific Knowledge Representation for an Intelligent Tutoring System to Teach Algebraic Reasoning

2012

Translation of word problems into symbolic notation is one of the most challenging steps in learning the algebraic method. This paper describes a domain-specific knowledge representation mechanism to support Intelligent Tutoring Systems (ITS) which focus on this stage of the problem solving process. The description language proposed is based on the concept of a hypergraph and makes it possible to simultaneously a) represent all potential algebraic solutions to a given word problem; b) keep track of the student's actions; c) provide automatic remediation; and d) unequivocally determine the current state of the resolution process. An experimental evaluation with students at a public school su…

Word problem (mathematics education)HypergraphTheoretical computer scienceKnowledge representation and reasoningComputer scienceAlgebraic numberSymbolic notationSpecific knowledgeIntelligent tutoring systemAlgebraic reasoning
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A Semantic Publish/Subscribe Approach for U-VR Systems Interoperation

2008

As ubiquitous virtual reality (U-VR) systems become more and more popular and several systems coexist all together, sharing events between them in order to improve the user experience and increase their scope and functionality will be mandatory. Since U-VR systems have a dynamic and decoupled nature, and they have their own event model, we propose in this paper a semantic publish/subscribe infrastructure that lies on a description logics reasoner and OWL ontologies for managing heterogeneous event models and performing the matching of events and subscriptions in such U-VR systems.

World Wide WebInteroperationKnowledge representation and reasoningEvent (computing)Computer scienceMessage oriented middlewareInformation systemSemantic reasonerOntology (information science)Semantic Web2008 International Symposium on Ubiquitous Virtual Reality
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Towards A Twitter Observatory: A Multi-Paradigm Framework For Collecting, Storing And Analysing Tweets

2016

International audience; In this article we show how a multi-paradigm framework can fulfil the requirements of tweets analysis and reduce the waiting time for researchers that use computational resources and storage systems to support large-scale data analysis. The originality of our approach is to combine concerns about data harvesting, data storage, data analysis and data visualisation into a framework that supports inductive reasoning in multidisciplinary scientific research. Our main contribution is a polyglot storage system with a generic data model to support logical data independence and a set of tools that can provide a suitable solution for mixing different types of algorithms in or…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO ] Computer Science [cs]Computer scienceknowledge discovery02 engineering and technology[INFO] Computer Science [cs][INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]Data modelingmassive datasetsopen source softwareData visualization[ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT]polyglot storage020204 information systems0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Twitter analysis . SystemsComputingMilieux_MISCELLANEOUS[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industryPolyglotInductive reasoningData science[SPI.TRON] Engineering Sciences [physics]/ElectronicsData independence[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsData model[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]Data architecturebusinessSoftware architecture
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FOWLA, A Federated Architecture for Ontologies.

2015

International audience; The progress of information and communication technologies has greatly increased the quantity of data to process. Thus, managing data heterogeneity is a problem nowadays. In the 1980s, the concept of a Federated Database Architecture (FDBA) was introduced as a collection of components to unite loosely coupled federation. Semantic web technologies mitigate the data heterogeneity problem, however due to the data structure heterogeneity the integration of several ontologies is still a complex task. For tackling this problem, we propose a loosely coupled federated ontology architecture (FOWLA). Our approach allows the coexistence of various ontologies sharing common data…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Federated Ontology ArchitectureComputer scienceProcess (engineering)Distributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Ontology (information science)SPARQL[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]World Wide WebSPARQLArchitecture[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebComputingMilieux_MISCELLANEOUSSWRLOWLHorn-like rules[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]computer.file_formatSemantic interoperabilityData structuresemantic interoperabilitybackward-chaining reasoningInformation and Communications Technologycomputer
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Ontology-based Integration of Web Navigation for Dynamic User Profiling

2015

The development of technology for handling information on a Big Data-scale is a buzzing topic of current research. Indeed, improved techniques for knowledge discovery are crucial for scientific and economic exploitation of large-scale raw data. In research collaboration with an industrial actor, we explore the applicability of ontology-based knowledge extraction and representation for today's biggest source of large-scale data, the Web. The goal is to develop a profiling application, based on the implicit information that every user leaves while navigating the online, with the goal to identify and model preferences and interests in a detailed user profile. This includes the identification o…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]lcsh:Computer engineering. Computer hardware[ INFO ] Computer Science [cs]Knowledge representation and reasoningComputer scienceSemantic Web Ontologies SWRL Big Data reasoningBig datalcsh:TK7885-789502 engineering and technologyOntology (information science)[INFO] Computer Science [cs][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Big Data reasoningWorld Wide WebKnowledge extraction020204 information systems0202 electrical engineering electronic engineering information engineeringOntologiesWeb navigation[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebSWRLSemantic WebUser profilebusiness.industrylcsh:Zlcsh:Bibliography. Library science. Information resourcesSemantic technology020201 artificial intelligence & image processingbusiness
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