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中文摘要：
提出了一种基于节点相似度的语义模式匹配方法,首先对元素标签进行概念化,其次计算元素标签间的语义关系,再次计算节点概念并转化成合取范式CNF,最后利用命题可满足性问题解决器SAT验证节点间的概念关系。实验结果表明,该方法有效提高了匹配的查全率、精度和整体质量。
英文摘要：
A schema match approach based on semantics is put forward.Firstly,the concepts at labels is built,and the semantic relationship between labels is computed,then the concepts at labels to concept at a node by a conjunction of all concepts at labels located above the given node are extended,including the node itself,concepts at node are translated into propositional formulas and then into CNF,which allows us to translate the matching problem into a propositional validity problem,which can then be efficiently resolved using SAT.Different versions of WCS schema-matching experiments show that the average recall of the semantic matching for the schemas is above 82%,the average precision reaches 91%,and the average overall achieves 67%.
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