Semantic cores for representing documents in IR
Mustapha Baziz, Mohand Boughanem, Nathalie Aussenac-Gilles, Claude Chrisment · 2005
This paper deals with the use of ontologies for Information Retrieval. Roughly, the proposed approach consists in identifying important concepts in documents using two criterions, co-occurrence and semantic relatedness and then disambiguating them via an external general purpose ontology, namely WordNet. Matching the ontology and a document results in a set of scored concept-senses (nodes) with weighted links. This representation, called semantic core of a document best reveals the semantic content of the document. We regard our approach, of which the first evaluation results are encouraging, as a short but strong step toward the long term goal of Intelligent Indexing and Semantic Retrieval.