Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41751
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dc.titleSemantic XPath query transformation: Opportunities and performance
dc.contributor.authorLe, D.X.T.
dc.contributor.authorBressan, S.
dc.contributor.authorTaniar, D.
dc.contributor.authorRahayu, W.
dc.date.accessioned2013-07-04T08:34:54Z
dc.date.available2013-07-04T08:34:54Z
dc.date.issued2007
dc.identifier.citationLe, D.X.T.,Bressan, S.,Taniar, D.,Rahayu, W. (2007). Semantic XPath query transformation: Opportunities and performance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4443 LNCS : 994-1000. ScholarBank@NUS Repository.
dc.identifier.isbn9783540717027
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41751
dc.description.abstractIn this paper we identify the opportunities for the semantic transformation of XPath queries using the structural and explicit semantics defined in an XML schema. Our classification of transformation is the semantic path expression where a path can be semantically contracted, expanded or complemented. Among several applications of such transformations, an obvious one is the semantic optimization of XPath queries. The transformation is likely to result in an improved response time for a given system. We empirically evaluate the gain or loss of performance of the identified transformations with two representative off-the-shelf XML data management systems and XPath query processors. © Springer-Verlag Berlin Heidelberg 2007.
dc.sourceScopus
dc.subjectQuery processing
dc.subjectSemantic XML query optimization
dc.subjectXML
dc.subjectXPath
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4443 LNCS
dc.description.page994-1000
dc.identifier.isiutNOT_IN_WOS
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