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    Aggregated Search
    (CERIST, 2011-12) Bessai, Fatma-Zohra
    This work proposes an approach allowing to automatically select set of non redundant elements of the document that better answers the user’s need formulated through a list of key words.
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    Possibilistic Networks for Aggregated Search in XML Documents
    (CERIST, 2011-04) Bessai, Fatma-Zohra
    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 of non redundant elements) which is likely to be relevant to a query. For this, we present a model for XML information retrieval, based on possibilistic networks. The network structure provides a natural manner to represent the links between, a document, its elements and its content, and allows automatically selecting relevant and complementary elements. Experiments carried out on a sub-collection of INEX (INitiative for the Evaluation of XML retrieval), showed the effectiveness of the approach.