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摘要
Document matching has become a crucial task for data integration. A considerable amount of algorithms for comparing XML documents have been proposed in the literature. Yet, the existing approaches fall short in ability to identify structural similarities of fuzzy XML documents. To fill this gap, in this paper, we provide an integrated comparison approach to cope with structural similarities of the fuzzy XML documents. Firstly, we propose a new fuzzy XML document tree model to represent fuzzy XML Secondly, we offer element/attribute features similarity measure approach to identify matching nodes. Thirdly, we present an effective algorithm based on the tree edit distance to detect the structural similarities between fuzzy XML document trees represented with the proposed model. Finally, the experimental results demonstrate that our approach can efficiently perform structural similarity measure of the fuzzy XML documents.
