Information Retrieval Model Based on Possibilistic Ontology
Rihab Ben Lamine, Mohamed Nazih Omri
Progress in Machines and Systems, Vol. 1, No. 1, 2012.
DOI: 
Link: http://www.dline.info/pms/fulltext/v1n1/2.pdf
Abstract:
Classical approaches of Information Retrieval treat documents and queriesas Â«bags of wordsÂ» with no syntax and no semantic.This representation is based on the co-occurrence of words in a textand does not take into account the semantic relationsth at exist between them. With the advent of ontologies,at the end of the 1990s, new approaches of Information Retrieval have appeared. These approaches attempt to capture the semantics of documents and queries by representing them with ontology concepts. A classical ontology doesnot avoid the vagueness and uncertainty that characterize human reasoning, in modeling the real world.Using the theory of possibility seems to be a solution. In this paper, we propose an indexing model based on possibilistic ontology. Therefore, we present a method for converting a conventional ontology into a possibilistic one and then we defineasemantic similarity measuresuitable for possibilistic ontology. The weights of index terms are based on the use of this measure.