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Overview of the INEX 2008 XML Mining Track

Categorization and Clustering of XML Documents in a Graph of Documents
  • Ludovic Denoyer
  • Patrick Gallinari
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5631)

Abstract

We describe here the XML Mining Track at INEX 2008. This track was launched for exploring two main ideas: first identifying key problems for mining semi-structured documents and new challenges of this emerging field and second studying and assessing the potential of machine learning techniques for dealing with generic Machine Learning (ML) tasks in the structured domain i.e. classification and clustering of semi structured documents. This year, the track focuses on the supervised classification and the unsupervised clustering of XML documents using link information. We consider a corpus of about 100,000 Wikipedia pages with the associated hyperlinks. The participants have developed models using the content information, the internal structure information of the XML documents and also the link information between documents.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ludovic Denoyer
    • 1
  • Patrick Gallinari
    • 1
  1. 1.LIP6 - University of Paris 6France

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