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In this paper, we propose an approach to retrieval XML data with structural context relaxation. We process user query and XML documents as structural term set. Context resemblance is computed based on level weight of element in context, level similarity between elements in longest matched subsequence and other factors. We extend Vector Space Model to answer XML content and structure search. Experiments...
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