Εμφάνιση απλής εγγραφής

dc.contributor.authorAstrova, Irinaen
dc.coverage.spatialGR - Κέρκυραen
dc.date.available2014-03-14T08:42:16Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/10797/14036en
dc.descriptionΠεριέχει το πλήρες κείμενοel_GR
dc.description.abstractOntology-based data integration poses significant challenges. One is that an ontology used as a global reference model during the ontology-based data integration can contain duplicated attributes, which can easily lead to improper query results. This problem arises when merging similar or overlapping information from ontologies extracted from distributed digital libraries into a single global ontology. To solve the problem, we propose a novel context-based approach that analyzes a workload of queries over the single global ontology to automatically calculate (semantic) distances between attributes, which are then used for duplicate detection. We present experimental results to demonstrate the quality of our approach.en
dc.language.isoengen
dc.relation.ispartofProceedings of the SecondWorkshop on Very Large Digital Libraries VLDL2009 A Workshop in conjunction with the European Conference on Digital Libraries 2009en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.source13th European Conference, ECDL 2009en
dc.titleImproving Query Results with Automatic Duplicate Detectionen
dc.typeConference Objecten
dc.subject.uncontrolledtermOntology-based data integrationen
dc.subject.uncontrolledtermDuplicate detectionen
dc.subject.uncontrolledtermMarket basket analysisen
dc.subject.uncontrolledtermICDen
dc.subject.uncontrolledtermAlgorithmsen
dc.subject.JITAΔιαχείριση υπηρεσιών, λειτουργιών και τεχνικών πληροφόρησης, Δομές δεδομένων και μεταδεδομένωνel_GR
dc.subject.JITAInformation treatment for information services, Information functions and techniques, Data and metadata structuresen
dc.contributor.conferenceorganizerInstitute of Information Science and Technology (ISTI) of the Italian National Research Council (CNR) of Pisa in cooperation with the DELOS Associationen
dc.identifier.JITAIDen


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Εμφάνιση απλής εγγραφής