Search results for "Ontology-based data integration"

showing 10 items of 30 documents

Formal ontology and CAD integration with macro parametric approach

2017

ABSTRACTThis paper discusses an ontological integration framework in the context of mereotopological formal ontology and CAD systems. Based on a comprehensive literature review of current design knowledge management and formal ontology research works, the authors propose the integration framework that can incorporate design knowledge with CAD systems. The primary role of mereotopology in this research work is the formal representation of design knowledge for the 3D solid assembly models. Most of the existing research works about design ontology present an abstract form and often require significant additional efforts to be integrated into CAD systems. Thus, this work introduces a formal ont…

0209 industrial biotechnologyComputer scienceProcess ontologyOntology-based data integration0211 other engineering and technologiesComputational MechanicsCAD02 engineering and technologyProtégéDesign knowledgeComputer Graphics and Computer-Aided DesignComputational Mathematics020901 industrial engineering & automationFormal ontologySystems engineeringOntologyMereotopology021106 design practice & managementComputer-Aided Design and Applications
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Watermarking for ontologies

2011

In this paper, we study watermarking methods to prove the ownership of an ontology. Different from existing approaches, we propose to watermark not by altering existing statements, but by removing them. Thereby, our approach does not introduce false statements into the ontology. We show how ownership of ontologies can be established with provably tight probability bounds, even if only parts of the ontology are being re-used. We finally demonstrate the viability of our approach on real-world ontologies.

021110 strategic defence & security studiesInformation retrievalOpen worldComputer scienceOntology-based data integrationProcess ontologyData_MISCELLANEOUS0211 other engineering and technologiesWatermark02 engineering and technologyOntology (information science)computer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringData miningDigital watermarkingSecurity parametercomputerISWC 2011: Proceedings of the 10th International Semantic Web Conference
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Automatic Integration of Spatial Data into the Semantic Web

2017

International audience

021110 strategic defence & security studies[ INFO ] Computer Science [cs]Information retrieval[INFO.INFO-WB] Computer Science [cs]/Webbusiness.industryComputer scienceOntology-based data integration05 social sciences[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/Web0211 other engineering and technologies050801 communication & media studies02 engineering and technology[INFO] Computer Science [cs]Social Semantic Web0508 media and communicationsSemantic computingSemantic analyticsSemantic integration[INFO]Computer Science [cs]Semantic Web StackbusinessSemantic WebData WebComputingMilieux_MISCELLANEOUS
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Gene-based and semantic structure of the Gene Ontology as a complex network

2012

The last decade has seen the advent and consolidation of ontology based tools for the identification and biological interpretation of classes of genes, such as the Gene Ontology. The information accumulated time-by-time and included in the GO is encoded in the definition of terms and in the setting up of semantic relations amongst terms. This approach might be usefully complemented by a bottom-up approach based on the knowledge of relationships amongst genes. To this end, we investigate the Gene Ontology from a complex network perspective. We consider the semantic network of terms naturally associated with the semantic relationships provided by the Gene Ontology consortium and a gene-based …

0301 basic medicineStatistics and ProbabilityFOS: Computer and information sciencesPhysics - Physics and SocietyComplex systemComputer scienceMolecular Networks (q-bio.MN)Complex systemFOS: Physical sciencesNetworkCondensed Matter PhysicPhysics and Society (physics.soc-ph)computer.software_genreQuantitative Biology - Quantitative MethodsStatistics - ApplicationsGeneSemantic network03 medical and health sciencesSemantic similarityQuantitative Biology - Molecular NetworksApplications (stat.AP)GeneQuantitative Methods (q-bio.QM)Community detectionGene ontologybusiness.industryOntologyOntology-based data integrationComplex networkCondensed Matter PhysicsBipartite system030104 developmental biologyBipartite system; Community detection; Complex systems; Genes; Networks; Ontology; Condensed Matter Physics; Statistics and ProbabilityFOS: Biological sciencesOntologyWeighted networkData miningArtificial intelligenceComputingMethodologies_GENERALbusinesscomputerNatural language processing
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Mobile Ontologies

2008

The number of mobile subscribers in the world is soon reaching the three billion mark. According to the newest estimates, majority of the subscribers are already in the developing countries, whereas the number of subscribers in the industrialized countries is about to stagnate around one billion. Because especially in the developing countries the only access to Internet are mobile devices, developing high quality services based on them grows in importance. Ontologies are an important ingredient towards more complicated mobile services and wider usage of mobile terminals. In this article, we first discuss ontology and epistemology concepts in general. After that, we review ontologies in the …

Computer Networks and Communicationsbusiness.industryComputer scienceOntology-based data integrationProcess ontologyMobile business developmentOntology (information science)Domain (software engineering)World Wide WebUpper ontologyThe InternetbusinessMobile deviceInformation SystemsInternational Journal on Semantic Web and Information Systems
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Domain-Specific OWL Ontology Visualization with OWLGrEd

2015

The OWLGrEd ontology editor allows graphical visualization and authoring of OWL 2.0 ontologies using a compact yet intuitive presentation that combines UML class diagram notation with textual Manchester syntax for expressions. We present an extension mechanism for OWLGrEd that allows adding custom information areas, rules and visual effects to the ontology presentation thus enabling domain specific OWL ontology visualizations. The usage of OWLGrEd and its extensions is demonstrated on ontology engineering examples involving custom annotation visualizations, advanced UML class dia-gram constructs and integrity constraints in semantic database schema design.

Computer sciencecomputer.internet_protocolProgramming languageOntology-based data integrationProcess ontologySuggested Upper Merged OntologyOntology (information science)computer.software_genreOntology engineeringOWL-SWorld Wide WebOpen Biomedical OntologiesUpper ontologycomputer
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Building Ontologies from XML Data Sources

2009

In this paper, we present a tool called X2OWL that aims at building an OWL ontology from an XML datasource. This method is based on XML schema to automatically generate the ontology structure, as well as, a set of mapping bridges. The presented method also includes a refinement step that allows to clean the mapping bridges and possibly to restructure the generated ontology.

Document Structure DescriptionComputer sciencecomputer.internet_protocolProcess ontologyEfficient XML InterchangeXML SignatureOntology (information science)computer.software_genreXML Schema EditorStreaming XMLUpper ontologyXML schemaRDFSemantic Webcomputer.programming_languageInformation retrievalOntology-based data integrationSuggested Upper Merged OntologyWeb Ontology LanguageXML validationcomputer.file_formatXML frameworkXML databaseComputingMethodologies_DOCUMENTANDTEXTPROCESSINGOntologycomputerXML2009 20th International Workshop on Database and Expert Systems Application
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Ontology-based integration of XML data: Schematic marks as a bridge between syntax and semantic level

2007

This paper presents an ontology integration approach of XML data. The approach is composed of two pillars the first of which is based on formal language and XML grammars analysis. The second pillar is based on ontology and domain ontology analysis. The keystone of this architecture which creates a bridge between the two pillars is based on the concept of schematic marks introduced in this paper. These schematic marks make it possible to establish the link between the syntactic level and the semantic level for our integration framework.

Document Structure DescriptionXML EncryptionInformation retrievalComputer scienceXML Schema EditorOntology-based data integrationStreaming XMLXML validationXML schemaOntology (information science)computercomputer.programming_language
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Semantic HMC for Big Data Analysis

2014

International audience; Analyzing Big Data can help corporations to im-prove their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process. We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.

FOS: Computer and information sciences[ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processingmulti-classifyComputer scienceComputer Science - Artificial IntelligenceBig data[ INFO.INFO-WB ] Computer Science [cs]/Websemantic technologies02 engineering and technologyOntology (information science)Semantic data model[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Semantic similarity020204 information systemsSemantic computing0202 electrical engineering electronic engineering information engineeringontologyInformation retrievalOntology learningbusiness.industryOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebBig-Data[INFO.INFO-TT]Computer Science [cs]/Document and Text ProcessingArtificial Intelligence (cs.AI)machine learningOntologySemantic technologyIndex Terms—classification020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]business
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An ontology change management approach for facility management

2014

International audience; Facility management (FM) or technical property management is an approach to operate, maintain, improve and adapt buildings and infrastructures of organizations. A FM project requires the cooperation of many actors from different domains so it has to be automated in a constrained collaborative environment. This paper proposes a new approach for ontology change management applied on facility management of such projects. The industrial challenge is, firstly, to ensure consistency of a FM project knowledge from the construction phase to the technical property management phase (after delivery). Secondly, it has to provide to each actor of the project a personal up-to-date…

Information managementEngineering[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text ProcessingProcess managementKnowledge managementGeneral Computer Sciencebusiness.industryOntology-based data integrationProcess ontology[INFO.INFO-WB]Computer Science [cs]/WebGeneral Engineering[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]Ontology (information science)Change management (ITSM)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TT]Computer Science [cs]/Document and Text ProcessingFacility management[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Upper ontology[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]business[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Project management triangle
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