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 December 14, 2024)
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A Novel Approach to Measuring Structural Similarity Between XML Documents
Published
Author(s)
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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,
Pub Type
Conferences
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Keywords
Information compatibility analysis, kernel methods, string kernel, structural similarity, XML mining
Citation
Issues
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Created April 1, 2007, Updated February 19, 2017