Academic & Scientific Articles
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Item A Classification-based XML Information Retrieval Model(CERIST, 2014-11-27) Bessai, Fatma-ZohraThe 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. To do this, we propose a neural XML information retrieval model using Kohonen self-organizing maps. Kohonen self-organizing map lets classification of XML elements producing density map that form the foundations of the XML information retrieval system.Item Toward a neural aggregated search model for semi-structured documents(CERIST, 2013-07) Bessai, Fatma-ZohraIn 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 attempt to build the best elements aggregation (set of non-redundant elements) which is likely to be relevant to a query composed of key words. Our approach is based on Kohonen self-organizing maps. Kohonen self-organizing map allows an automatic classification of XML elements producing density map that form the foundations of aggregated search.Item Possibilistic Networks for Aggregated Search in XML Documents(CERIST, 2011-04) Bessai, Fatma-ZohraIn 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.