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PKU at INEX 2010 XML Mining Track

  • Conference paper
Comparative Evaluation of Focused Retrieval (INEX 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6932))

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Abstract

This paper presents our participation in the INEX 2010 XML Mining track. Our classification and clustering solutions for XML documents have used both the structure and content information, where the frequent subtrees as structural units are used for content extraction from the XML document. In addition, we used the WordNet and the link information for better performance, and applied the structured link vector model for classification.

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Author information

Authors and Affiliations

  1. Institute of Computer Sci. & Tech., Peking University, Beijing, 100871, China

    Songlin Wang, Feng Liang & Jianwu Yang

Authors
  1. Songlin Wang
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  2. Feng Liang
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  3. Jianwu Yang
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Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, Queensland University of Technology, GPO Box 2434, Qld 4001, Brisbane, Australia

    Shlomo Geva

  2. Archives and Information Studies/Humanities, University of Amsterdam, Turfdraagsterpad 9, 1012XT, Amsterdam, The Netherlands

    Jaap Kamps

  3. Multimodal Computing and Interaction, Saarland University, 66123, Saarbrücken, Germany

    Ralf Schenkel

  4. Department of Computer Science, University of Otago, P.O. Box 56, 9054, Dunedin, New Zealand

    Andrew Trotman

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© 2011 Springer-Verlag Berlin Heidelberg

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Wang, S., Liang, F., Yang, J. (2011). PKU at INEX 2010 XML Mining Track. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds) Comparative Evaluation of Focused Retrieval. INEX 2010. Lecture Notes in Computer Science, vol 6932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23577-1_37

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  • DOI: https://doi.org/10.1007/978-3-642-23577-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23576-4

  • Online ISBN: 978-3-642-23577-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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