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  Department of Industrial & Management Engineering (산업경영공학과) 1. Journal Papers

 

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Cited 1 time in webofscience Cited 3 time in scopus
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dc.contributor.authorJeong, B-
dc.contributor.authorLee, D-
dc.contributor.authorLee, J-
dc.contributor.authorCho, H-
dc.date.accessioned2016-04-01T08:46:57Z-
dc.date.available2016-04-01T08:46:57Z-
dc.date.created2009-07-31-
dc.date.issued2009-01-
dc.identifier.issn0957-4174-
dc.identifier.other2009-OAK-0000017109-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/28754-
dc.description.abstractA challenging issue to web services interoperability is seamless data exchanges between web services to be composed. A solution to this problem is to establish semantic mappings from an information item to another. To do that, we present an approximate information mapping analysis. We propose a kernel-based structural similarity measure for XML documents. Simulation results with industrial XML data show that the proposed kernel-based measure outperforms other existing methods. (C) 2007 Elsevier Ltd. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.relation.isPartOfEXPERT SYSTEMS WITH APPLICATIONS-
dc.subjectData exchange-
dc.subjectInformation mapping-
dc.subjectKernel method-
dc.subjectSchema matching-
dc.subjectStructural similarity-
dc.subjectWeb service-
dc.subjectCLUSTERING XML DOCUMENTS-
dc.subjectCLASSIFICATION-
dc.subjectSIMILARITY-
dc.subjectEFFICIENT-
dc.titleSUPPORT FOR SEAMLESS DATA EXCHANGES BETWEEN WEB SERVICES THROUGH INFORMATION MAPPING ANALYSIS USING KERNEL METHODS-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1016/j.eswa.2007.10.021-
dc.author.googleJeong, B-
dc.author.googleLee, D-
dc.author.googleLee, J-
dc.author.googleCho, H-
dc.relation.volume36-
dc.relation.issue1-
dc.relation.startpage358-
dc.relation.lastpage365-
dc.contributor.id10083567-
dc.relation.journalEXPERT SYSTEMS WITH APPLICATIONS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationEXPERT SYSTEMS WITH APPLICATIONS, v.36, no.1, pp.358 - 365-
dc.identifier.wosid000264182800036-
dc.date.tcdate2018-03-23-
dc.citation.endPage365-
dc.citation.number1-
dc.citation.startPage358-
dc.citation.titleEXPERT SYSTEMS WITH APPLICATIONS-
dc.citation.volume36-
dc.contributor.affiliatedAuthorLee, J-
dc.identifier.scopusid2-s2.0-54049095957-
dc.description.journalClass1-
dc.description.journalClass1-
dc.type.docTypeArticle-
dc.subject.keywordAuthorData exchange-
dc.subject.keywordAuthorInformation mapping-
dc.subject.keywordAuthorKernel method-
dc.subject.keywordAuthorSchema matching-
dc.subject.keywordAuthorStructural similarity-
dc.subject.keywordAuthorWeb service-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
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이재욱LEE, JAEWOOK
Dept of Industrial & Management Enginrg
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