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.
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Yang, W., Zhu, H. (2010). Semantic-Distance Based Clustering for XML Keyword Search. In: Zaki, M.J., Yu, J.X., Ravindran, B., Pudi, V. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2010. Lecture Notes in Computer Science(), vol 6119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13672-6_39
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DOI: https://doi.org/10.1007/978-3-642-13672-6_39
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