Doxels in context for retrieval: from structure to neighbours

  • Authors:
  • Delphine Verbyst;Philippe Mulhem

  • Affiliations:
  • LIG - Université Joseph Fourier, Grenoble Cedex, France;LIG - CNRS, Grenoble Cedex, France

  • Venue:
  • Proceedings of the 2008 ACM symposium on Applied computing
  • Year:
  • 2008

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Abstract

We propose in this paper a new way of considering retrieval of structured documents, by exploiting non-structural relations between structured document elements (doxels). These relations may be defined by human beings (e.g. by the authors of the documents for navigation or reference purposes), but may also be created by the information retrieval system (e.g. using kNN). Unlike Pagerank or HITS that separate features link and content features, we integrate these two aspects by defining a relative specificity and a relative exhaustivity between doxels. We use these features, as well as the doxel content, in a comprehensive matching process. One concern here is to facilitate the exploration of the result space by selecting the relevant doxels, and by indicating potential good neighbours to access from one doxel. Results of experiments on the INEX2005 test collection are presented.