An Information Space Using Topic Identification for Retrieved Documents

  • David Escorial
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2004)


We present a model of an Information Space (IS) that combines the Vector Space Model (VSM) with conceptual hierarchies for Information Retrieval (IR). This model will allow navigating between both representations helping the user in the retrieval process. The goal is to filter the documents the user is interested based on the theme.


Information Retrieval Internal Model Information Space Vector Space Model Topic Identification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Newby, G. B.: An investigation of the role of navigation for information retrieval. In Proc. of the American Society for Information Science Annual Meeting. Medford, NJ: Learned Information (1992).Google Scholar
  2. 2.
    Salton, G. and McGrill, M.J.: Introduction to Modern Information Retrieval. McGraw Hill (1983).Google Scholar
  3. 3.
    Gelbukh A., Sidorov, G., Guzmán-Arenas, A.: A method of describing document contents through Topic Selection. In Proc. of 6th International Symposium on String Processing and Information Retrieval, SPIRE’99 (1999) 73–80.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • David Escorial
    • 1
  1. 1.Natural Language Laboratory, Center for Computer Research (CIC)National Polytechnic Institute (IPN)Zacatenco Mexico CityMexico

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