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In this paper, the authors propose a novel method for searching and ranking XML documents via path constraints. They propose to retrieve XML data by submitting keywords with simple path constraints, which can provide users a friendly way without need of understanding complex knowledge and express user search intention accurately. This paper further proposes a novel method for computing term weight in documents via path constraints. It measures the similarity of path constraints by N-Gram and other factors according to the structure of the XML documents. Then they rank the relevant documents by an extension of the vector space model.
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