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A study of the evaluation function and the clustering algorithm for semantic web environment

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dc.contributor.authorKim, JM-
dc.contributor.authorPark, YT-
dc.date.available2019-04-10T11:43:10Z-
dc.date.created2018-04-17-
dc.date.issued2006-
dc.identifier.isbn3540340726-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/34050-
dc.description.abstractClustering is defining inter relationship of unordered data and grouping data systematically. The systems using clustering provide the grouped information to the users. The complex metadata description generated on the basis of pre-defined ontologies serve as perfect input data for clustering. In this paper, we propose an approach for clustering ontology-based metadata. Main contribution of this paper are the definition of evaluation function to measure ontology-based metadata and study using this evaluation function within hierarchical clustering algorithm.-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.isPartOfCOMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 2-
dc.titleA study of the evaluation function and the clustering algorithm for semantic web environment-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationICCSA 2006: International Conference on Computational Science and Its Applications, v.3981, pp.1219 - 1228-
dc.description.journalClass2-
dc.identifier.wosid000237646100129-
dc.identifier.scopusid2-s2.0-33745894627-
dc.citation.conferenceDate2006-05-08-
dc.citation.conferencePlaceGlasgow-
dc.citation.endPage1228-
dc.citation.startPage1219-
dc.citation.titleICCSA 2006: International Conference on Computational Science and Its Applications-
dc.citation.volume3981-
dc.contributor.affiliatedAuthorPark, YT-
dc.type.docTypeArticle; Proceedings Paper-
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