Semantic-Distance based clustering for XML keyword search

Authors:
Weidong Yang;Hao Zhu
Affiliations:
School of Computer Science, Fudan University, Shanghai, China;School of Computer Science, Fudan University, Shanghai, China
Venue:
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Year:
2010

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Abstract

XML Keyword Search is a user-friendly information discovery technique, which is well-suited to schema-free XML documents We propose a novel scheme for XML keyword search called XKLUSTER, in which a novel semantic-distance model is proposed to specify the set of nodes contained in a result Based on this model, we use clustering approaches to generate all meaningful results in XML keyword search A ranking mechanism is also presented to sort the results.