From Structure-based to Semantics-based Approach for Effective 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.contributor.authorLu, Jiahengen_US
dc.date.accessioned2013-04-25T03:00:43Zen_US
dc.date.accessioned2017-01-23T07:00:08Z
dc.date.available2013-04-25T03:00:43Zen_US
dc.date.available2017-01-23T07:00:08Z
dc.date.issued2013-04-25T03:00:43Zen_US
dc.description.abstractExisting XML keyword search approaches can be categorized into tree-based search and graph-based search. Both of them are structure-based search because they mainly rely on the exploration of the structural features of document. Those structure-based approaches cannot fully exploit hidden semantics in XML document. This causes serious problems in processing some class of keyword queries. In this paper, we thoroughly point out mismatches between answers returned by structure-based search and the expectations of common users. Through detailed analysis of these mismatches, we show the importance of semantics in XML keyword search and propose a semantics-based approach to process XML keyword queries. Particularly, we propose to use Object Relationship (OR) graph, which fully capture semantics of object, relationship and attribute, to represent XML document and we develop algorithms based on the OR graph to return more comprehensive answers. Experimental results show that our proposed semantics-based approach can resolve the problems of the structure-based search, and significantly improve both the effectiveness and efficiency.en_US
dc.format.extent589385 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://dl.comp.nus.edu.sg/xmlui/handle/1900.100/3947en_US
dc.language.isoenen_US
dc.relation.ispartofseries;TRB4/13en_US
dc.titleFrom Structure-based to Semantics-based Approach for Effective XML Keyword Searchen_US
dc.typeTechnical Reporten_US
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