Using Bayesian networks theory for aggregated search to XML retrieval
Najeh Naffakhi, Rim Faïz · 2012
In this paper, we are interested in aggregated search in structured XML documents. We present a structured information retrieval model based on the Bayesian networks theory. Query-terms and terms-elements relations are modeled through probability. In this model, the user's query starts a propagation process to recover the XML elements. Thus, instead of retrieving a whole document or a list of disjoint elements that are likely to answer partially the query, we attempt to built a virtual document that aggregates a set of elements, that are relevant all together. We evaluated our approach using the INEX 2009 collection and presented some empirical results for evaluating the impact of the aggregation approach.