Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.datak.2004.12.003
DC FieldValue
dc.titleAccelerating queries by pruning XML documents
dc.contributor.authorBressan, S.
dc.contributor.authorCatania, B.
dc.contributor.authorLacroix, Z.
dc.contributor.authorLi, Y.G.
dc.contributor.authorMaddalena, A.
dc.date.accessioned2013-07-04T07:46:32Z
dc.date.available2013-07-04T07:46:32Z
dc.date.issued2005
dc.identifier.citationBressan, S., Catania, B., Lacroix, Z., Li, Y.G., Maddalena, A. (2005). Accelerating queries by pruning XML documents. Data and Knowledge Engineering 54 (2) : 211-240. ScholarBank@NUS Repository. https://doi.org/10.1016/j.datak.2004.12.003
dc.identifier.issn0169023X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39655
dc.description.abstractSome XML query processors operate on an internal representation of XML documents and can leverage neither the XML storage structure nor the possible access methods dedicated to this storage structure. Such query processors are often used in organizations that usually process transient XML documents received from other organizations. In this paper, we propose a different approach to accelerating query execution on XML source documents in such environments. The approach is based on the notion of query equivalence of XML documents with respect to a query. Under this equivalence, we propose two different document transformation strategies which prune parts of the documents irrelevant to the query, just before executing the query itself. The proposed transformations are implemented and evaluated using a two-level index structure: a structural directory capturing document paths and an inverted index of tag offsets. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.datak.2004.12.003
dc.sourceScopus
dc.subjectIndexing techniques
dc.subjectQuery processing
dc.subjectXML
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/j.datak.2004.12.003
dc.description.sourcetitleData and Knowledge Engineering
dc.description.volume54
dc.description.issue2
dc.description.page211-240
dc.description.codenDKENE
dc.identifier.isiut000229704300005
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