Object Semantics for XML Keyword Search

dc.contributor.authorLE, Thuy Ngocen_US
dc.contributor.authorLING, Tok Wangen_US
dc.contributor.authorJAGADISH, H. V.en_US
dc.contributor.authorLIN, Chunbinen_US
dc.contributor.authorLU, Jiahengen_US
dc.date.accessioned2013-05-21T01:18:54Zen_US
dc.date.accessioned2017-01-23T07:00:08Z
dc.date.available2013-05-21T01:18:54Zen_US
dc.date.available2017-01-23T07:00:08Z
dc.date.issued2013-05-21T01:18:54Zen_US
dc.description.abstractWe know that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ancestor based schemes proposed for this purpose, including SLCA, MLCA, VLCA, and ELCA. It is easy to see that identifying objects can help each of these techniques return more meaningful answers than just the LCA node (or subtree). It is more interesting to see that object semantics can also be used to benefit the search itself. For this purpose, we introduce a novel nearest common object node semantics (NCON), which includes not just common ancestors but also common descendants and referenced objects in evaluating a query. We have developed XComplete, a system for our NCON-based approach, and used it in our extensive experimental evaluation. The experimental results show that our proposed approach outperforms the existing LCA-based approaches in terms of both effectiveness and efficiency.en_US
dc.format.extent758196 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://dl.comp.nus.edu.sg/xmlui/handle/1900.100/4143en_US
dc.language.isoenen_US
dc.relation.ispartofseries;TRA5/13en_US
dc.titleObject Semantics for XML Keyword Searchen_US
dc.typeThesisen_US
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