%0 Journal Article
%T Aggregated Search in XML Documents
%A Fatma Zohra Bessai-Mechmache
%A Zaia Alimazighi
%J Journal of Emerging Technologies in Web Intelligence
%D 2012
%I Academy Publisher
%R 10.4304/jetwi.4.2.181-188
%X In this paper, we are interested in aggregated search in structured XML documents. We present a structured information retrieval model based on possibilistic networks. Relations terms-elements and elements-document are modeled through possibility and necessity. In this model, the user¡¯s query starts a process of propagation to recover the elements. Thus, instead of retrieving a list of elements that are likely to answer partially the user¡¯s query, our objective is to build a virtual elements that contain relevant and non-redundant elements, that are likely to answer better the query that elements taken separately. Indeed, the possibilistic network structure provides a natural representation of links between a document, its elements and its content, and allows an automatic selection of relevant and non-redundant elements. We evaluated our approach using a sub-collection of INEX (INitiative for the Evaluation of XML retrieval) and presented some results for evaluating the impact of the aggregation approach.
%K XML Information Retrieval
%K possibilistic networks
%K aggregated search
%K redundancy
%U http://ojs.academypublisher.com/index.php/jetwi/article/view/7208