Clustering XML Search Results Based on Content and Structure Similarity

Abstract

Clustering XML search results is an effective way to improve performance. However, the key problem is how to measure similarity between XML documents. In this paper, we propose a semantic similarity measure method combining content with structure, in which a variety of XML document features, including term element frequency, term inverse element frequency… (More)

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Cite this paper

@article{MinJuan2011ClusteringXS, title={Clustering XML Search Results Based on Content and Structure Similarity}, author={Zhong Min-Juan and Wan Chang-xuan and Liu De-Xi and Jiao Xian-Pei}, journal={2011 Fifth International Conference on Management of e-Commerce and e-Government}, year={2011}, pages={10-14} }