Bessai, Fatma-Zohra2013-11-252013-11-252013-07http://dl.cerist.dz/handle/CERIST/367In 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.Neural NetworksSelf-organizing mapsAggregated SearchXML Information RetrievalXML documentAggregateClassification of XML elementsLearningTechnical ReportCERIST-DTISI/RR--13-000000021--dz