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A Novel Approach to Measuring Structural Similarity between XML Documents

By Buhwan Jeong, Daewon Lee, Hyunbo Cho and Boonserm Kulvatunyou

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

Topics: Information compatibility analysis, kernel methods, string kernel, structural similarity, XML
Year: 2010
OAI identifier: oai:CiteSeerX.psu:10.1.1.160.6963
Provided by: CiteSeerX
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