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With the continuous development of Internet and rich resources emerging on the Web, information retrieval based on XML has emerged; the similarity of documents is the basis of information retrieval. A method is proposed to compute similarity of XML documents based on path and frequency in the paper. XML document is expressed as a collection of tuple, the paths are extracted and delete the recurring in order to improve efficiency, tag is matched by WordNet; and then path similarity is computed by the fuzzy longest common subsequence and frequency; finally, the structure similarity between documents are calculated. Two experiments are done to show that the method is effective, the experiment 1 test structural similarity of 15 XML documents from 3 DTDs; the similarity computing is applied in the documents classification for real data sets in the experiment 2, and results show the accuracy may arrive at 100%. Keywords—XML; structural similarity; frequency; sematic; tuple

Estimation of Structural Similarity of XML Document Based on Frequency and Path