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COVA: A web-based learning system for content-based lecture retrieval

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dc.contributor.authorCha, GH-
dc.date.available2021-02-22T16:31:06Z-
dc.date.issued2003-08-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16362-
dc.description.abstractThis paper introduces a prototype system called COVA that enables remote users to access specific parts of interest by contents from a large lecture database. COVA includes several novel techniques to achieve the content-based lecture retrieval in distance learning: (1) The semistructured XML model; (2) The technique to build structural summaries of XML lecture databases; (3) Indexing methods to speed up the search to find appropriate lecture contents.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleCOVA: A web-based learning system for content-based lecture retrieval-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-3-540-39962-9_12-
dc.identifier.scopusid2-s2.0-0242628334-
dc.identifier.wosid000188513300012-
dc.identifier.bibliographicCitationON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2003: OTM 2003 WORKSHOPS, v.2889, pp 26 - 27-
dc.citation.titleON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2003: OTM 2003 WORKSHOPS-
dc.citation.volume2889-
dc.citation.startPage26-
dc.citation.endPage27-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
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