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Cited 29 time in webofscience Cited 32 time in scopus
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Ontology mapping composition for query transformation on distributed environments

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dc.contributor.authorJung, Jason J.-
dc.date.available2020-03-27T07:54:39Z-
dc.date.issued2010-12-
dc.identifier.issn0957-4174-
dc.identifier.issn1873-6793-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37756-
dc.description.abstractSemantic heterogeneity should be dealt with for supporting automated information sharing process between information systems in distributed environments. To do so, traditional approaches have been based on explicit mapping between ontologies obtained from human experts of the particular domain. However, the manual tasks are very expensive, so that it is difficult to obtain ontology mappings between all possible pairs of the information systems. Thereby, in this paper, we propose a semantic distributed system to make the existing mapping information sharable and exchangeable. It means that the proposed system can collect the existing mappings and aggregate them. Consequently, we can estimate the ontology mappings in an indirect manner. In particular, this paper focuses on query propagation on the distributed networks. Once we have found the indirect mapping between the systems, the queries can be efficiently transformed to automatically exchange knowledge between heterogeneous information systems. (C) 2010 Elsevier Ltd. All rights reserved.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleOntology mapping composition for query transformation on distributed environments-
dc.typeArticle-
dc.identifier.doi10.1016/j.eswa.2010.05.041-
dc.identifier.bibliographicCitationEXPERT SYSTEMS WITH APPLICATIONS, v.37, no.12, pp 8401 - 8405-
dc.description.isOpenAccessN-
dc.identifier.wosid000281339900114-
dc.identifier.scopusid2-s2.0-77957842913-
dc.citation.endPage8405-
dc.citation.number12-
dc.citation.startPage8401-
dc.citation.titleEXPERT SYSTEMS WITH APPLICATIONS-
dc.citation.volume37-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.subject.keywordAuthorQuery transformation-
dc.subject.keywordAuthorOntology mapping-
dc.subject.keywordAuthorMapping composition-
dc.subject.keywordPlusFRAMEWORK-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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Jung, Jason J.
소프트웨어대학 (소프트웨어학부)
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