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A Novel Approach to Measuring Structural Similarity Between XML Documents

Published

Author(s)

Boonserm Kulvatunyou, B Jeong, Dongjin Lee, Hyunbo Cho

Abstract

Measuring structural similarity between XML documents has become a key component in various applications, including XML mining, schema matching, and web service discovery, among others. This paper presents a novel structural similarity measure incorporating kernel methods into XML documents. Results on preliminary simulations show that this approach outperforms conventional ones.
Proceedings Title
Proceedings of the 20th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
Conference Dates
July 9-14, 2007
Conference Location
Bari,

Keywords

Information compatibility analysis, kernel methods, string kernel, structural similarity, XML mining

Citation

Kulvatunyou, B. , Jeong, B. , Lee, D. and Cho, H. (2007), A Novel Approach to Measuring Structural Similarity Between XML Documents, Proceedings of the 20th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Bari, , [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822706 (Accessed April 12, 2024)
Created April 1, 2007, Updated February 19, 2017