Computation of Document Structural Similarity Based on PartWhole Matching
MA Jun1, CHEN ZhuMin1, ZHAO Yan1, LEI JingSheng1,2
1.Department of Computer Science and Technology, Shandong University, Jinan 250061 2.College of Information Science and Technology, Hainan University, Haikou 570228
Abstract：Traditional algorithms for document structural similarity (DSS) are based on either tree edit distances or Fourier transformation. New ways for the computation of DSS are presented based on partwhole matching between the tree Q corresponding to the structural question description and the tree T corresponding to structural description of a document. A way is provided to label above trees by strings then the DSS between two trees is calculated based on string matching operations. Experimental results show the proposed algorithms are better than those based on tree edit distance in terms of recall and precision.
马军，陈竹敏，赵嫣，雷景生. 基于部分整体匹配的文档结构相似度计算*[J]. 模式识别与人工智能, 2007, 20(5): 630-635.
MA Jun , CHEN ZhuMin , ZHAO Yan , LEI JingSheng. Computation of Document Structural Similarity Based on PartWhole Matching. , 2007, 20(5): 630-635.
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