DSpace at School of Computing, NUS: Item 1900.100/3041

Please use this identifier to cite or link to this item: http://hdl.handle.net/1900.100/3041

Title:	Automatic XML Keyword Query Refinement
Authors:	BAO, Zhifeng LU, Jiaheng LING, Tok Wang MENG, Xiaofeng
Issue Date:	23-Jun-2009
Series/Report no.:	;TRB6/09
Abstract:	Existing XML keyword search methods focus on how to find relevant and meaningful data fragments for a keyword query, assuming each keyword is intended as part of it. However, user's queries usually contain irrelevant or mismatched terms, spelling errors etc, which causes the search results to be either empty or meaningless. In this paper, we introduce the problem of automatic XML keyword query refinement, where automatic means the search engine should be able to adaptively decide whether a query Q needs to be refined during the processing of Q, and at the same time find a list of promising refined query candidates and their matching results over XML data, without any user interaction or a second try. In order to achieve this goal, we build a primary framework which consists of two core parts: (1) we build a novel query ranking model to evaluate the quality of a refined query RQ, which takes into account of the relevance of RQ w.r.t Q over XML data, the morphological/semantical simi...
URI:	http://hdl.handle.net/1900.100/3041
Appears in Collections:	Technical Reports

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