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- W2316939376 abstract "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 new method SCSimilarity is proposed to compute similarity of XML documents from structure and content 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, and matching fuzzy path using dynamic programming and WordNet; and then the structure similarity between documents are calculated using Hungarian algorithm; the content similarity are estimated by set matching. Finally, the similarity of XML documents is estimated. Two experiments are done to show that the method is effective, the experiment 1 test structural similarity; the information retrieval is test using automatically generated documentation sets and real data sets in the experiment 2, and results show the accuracy may arrive at 95%. Keywords—XML; Information Retrieval; Structure Similarity; Sematic; Content" @default.
- W2316939376 created "2016-06-24" @default.
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- W2316939376 date "2016-01-01" @default.
- W2316939376 modified "2023-09-23" @default.
- W2316939376 title "Research on Similarity for XML Information Retrieval" @default.
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- W2316939376 doi "https://doi.org/10.2991/emcs-16.2016.476" @default.
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