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A filtered retrieval technique for structural information

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dc.contributor.authorPark Y.-H.-
dc.contributor.authorYoon Y.-I.-
dc.contributor.authorLee J.-W.-
dc.date.available2021-02-22T15:16:56Z-
dc.date.issued2007-11-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14962-
dc.description.abstractWe present a filtered retrieval technique for structural information on internet-scale knowledge such as large-scale XML data in the Web. The technique evaluates XML standard queries on heterogeneous XML documents using information retrieval technique based on the relational tables in relational database management systems. The XML standard queries, XPath queries, in their general form are partial match queries, and these queries are particularly useful for searching documents of heterogeneous schemas. Thus, our technique is geared for partial match queries expressed as the queries. This indexes the elements in label paths, which are sequences of node labels, like keywords in texts, and finds the label paths matching a given query. © Springer-Verlag Berlin Heidelberg 2007.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleA filtered retrieval technique for structural information-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-3-540-77368-9_22-
dc.identifier.scopusid2-s2.0-38549150751-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4413 LNAI, pp 219 - 228-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume4413 LNAI-
dc.citation.startPage219-
dc.citation.endPage228-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusInternet-
dc.subject.keywordPlusLarge scale systems-
dc.subject.keywordPlusQuery processing-
dc.subject.keywordPlusXML-
dc.subject.keywordPlusFiltered retrieval techniques-
dc.subject.keywordPlusInternet-scale knowledge-
dc.subject.keywordPlusStructural information-
dc.subject.keywordPlusInformation retrieval-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007%2F978-3-540-77368-9_22-
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