A Kernel Method for Measuring Structural Similarity Between XML Documents

Buhwan Jeong, Daewon Lee, Hyunbo Cho, Boonserm Kulvatunyou. A Kernel Method for Measuring Structural Similarity Between XML Documents. In Hiroshi G. Okuno, Moonis Ali, editors, New Trends in Applied Artificial Intelligence, 20th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2007, Kyoto, Japan, June 26-29, 2007, Proceedings. Volume 4570 of Lecture Notes in Computer Science, pages 572-581, Springer, 2007. [doi]

@inproceedings{JeongLCK07,
  title = {A Kernel Method for Measuring Structural Similarity Between XML Documents},
  author = {Buhwan Jeong and Daewon Lee and Hyunbo Cho and Boonserm Kulvatunyou},
  year = {2007},
  doi = {10.1007/978-3-540-73325-6_57},
  url = {http://dx.doi.org/10.1007/978-3-540-73325-6_57},
  tags = {XML, XML Schema},
  researchr = {https://researchr.org/publication/JeongLCK07},
  cites = {0},
  citedby = {0},
  pages = {572-581},
  booktitle = {New Trends in Applied Artificial Intelligence, 20th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2007, Kyoto, Japan, June 26-29, 2007, Proceedings},
  editor = {Hiroshi G. Okuno and Moonis Ali},
  volume = {4570},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-73322-5},
}