Information retrieval remains problematic in spite of the numerous existing search engines. It is the same problem for health information retrieval. We propose in this paper to combine three knowledge-based methods to enhance information retrieval using query expansion in the context of the CISMeF project (Catalogue and Index of French-speaking Medical Sites) in which the resources are indexed according to a structured terminology of the medical domain and a set of metadata. The first method consists of building and using morphological knowledge of the terms. The second method consists of extracting association rules between terms by applying a data mining technique over the indexed resources. The last method consists of formalizing the terminology using the OWL-DL language to benefit from its powerful reasoning mechanisms. We describe how these methods could be used conjointly in the KnowQuE prototype (Knowledge-based Query Expansion) and we give some preliminary results.
展开▼
