Now showing items 1-3 of 3

  • A Classification-based XML Information Retrieval Model 

    Bessai, Fatma-Zohra
    In : Rapports de recherche internes, (CERIST, Alger, 2014-11-27)
    The main problem of content-based XML information retrieval is how to select the relevant unit of information that answers the user’s query composed of only key words (content only). Our objective is to select relevant elements that can belong to different parts of XML documents of the corpus for user’s information need. ...
  • Possibilistic Networks for Aggregated Search in XML Documents 

    Bessai, Fatma-Zohra
    In : Rapports de recherche internes, (CERIST, Alger, 2011-04)
    In this paper, we are interested in aggregated search in conten-based XML information retrieval. Our goal is to revisit the granularity of the unit to be returned. More precisely, instead of returning the whole document or a list of disjoint elements of a document, we attempt to build the best element aggregation (set ...
  • Toward a neural aggregated search model for semi-structured documents 

    Bessai, Fatma-Zohra
    In : Rapports de recherche internes, (CERIST, Alger, 2013-07)
    In this paper, we are interested in content-oriented XML information retrieval. Our goal is to revisit the granularity of the unit to be returned. More precisely, instead of returning the whole document or a list of disjoint elements of a document, as it is usually done in the most XML information retrieval systems, we ...

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