A Novel Approach to Measuring Structural Similarity between XML Documents

نویسندگان

  • Buhwan Jeong
  • Daewon Lee
  • Hyunbo Cho
  • Boonserm Kulvatunyou
چکیده

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.

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تاریخ انتشار 2007