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