Problems of LCA and Impact of ORA-semantics in XML Keyword Search

dc.contributor.authorLE, Thuy Ngocen_US
dc.contributor.authorWU, Huayuen_US
dc.contributor.authorLING, Tok Wangen_US
dc.contributor.authorLI, Luochenen_US
dc.date.accessioned2012-03-26T02:13:57Zen_US
dc.date.accessioned2017-01-23T07:00:05Z
dc.date.available2012-03-26T02:13:57Zen_US
dc.date.available2017-01-23T07:00:05Z
dc.date.issued2012-03-26T02:13:57Zen_US
dc.description.abstractMost keyword search approaches for data-centric XML documents are based on the computation of Lowest Common Ancestors (LCA). However, LCA-based search methods depend much on hierarchical structures of XML data. Therefore it may not be able to find desired answers for many keyword queries since a relationship among objects in XML data can be represented in different hierarchical structures. In this paper, we first point out serious problems of the LCA-based approach, due to its unawareness of semantics of object, relationship and attribute, referred to as ORA-semantics. Through detailed analysis of these problems, we show the impact of ORA-semantics in XML keyword search. We then propose an ORA-semantics based approach with rules to infer expected answers for XML keyword queries. Experimental results show that our ORA-semantics based approach can resolve the problems of the LCA-based approach, and thus can be a promising research direction for XML keyword search.en_US
dc.format.extent513080 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://dl.comp.nus.edu.sg/xmlui/handle/1900.100/3586en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTRB3/12en_US
dc.titleProblems of LCA and Impact of ORA-semantics in XML Keyword Searchen_US
dc.typeTechnical Reporten_US
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