A filtered retrieval technique for structural information
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park Y.-H. | - |
dc.contributor.author | Yoon Y.-I. | - |
dc.contributor.author | Lee J.-W. | - |
dc.date.available | 2021-02-22T15:16:56Z | - |
dc.date.issued | 2007-11 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14962 | - |
dc.description.abstract | We 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.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer Verlag | - |
dc.title | A filtered retrieval technique for structural information | - |
dc.type | Article | - |
dc.publisher.location | 독일 | - |
dc.identifier.doi | 10.1007/978-3-540-77368-9_22 | - |
dc.identifier.scopusid | 2-s2.0-38549150751 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4413 LNAI, pp 219 - 228 | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 4413 LNAI | - |
dc.citation.startPage | 219 | - |
dc.citation.endPage | 228 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Large scale systems | - |
dc.subject.keywordPlus | Query processing | - |
dc.subject.keywordPlus | XML | - |
dc.subject.keywordPlus | Filtered retrieval techniques | - |
dc.subject.keywordPlus | Internet-scale knowledge | - |
dc.subject.keywordPlus | Structural information | - |
dc.subject.keywordPlus | Information retrieval | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007%2F978-3-540-77368-9_22 | - |
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