Rating the impact of logical representations on retrieval performance

Logic provides a rich and uniform framework in which information retrieval can be modeled. The ability of logical approaches to give rise to more general information retrieval models is promising. However no much experimentation has been carried out about the real impact of logical representations on retrieval performance. This work is an attempt to fill this gap. Our work is based on a logical model of information retrieval in which some classical representations can be modeled and matched. We did experiments on both the basic retrieval task and the task of retrieval with feedback. The results obtained using expressive representations are encouraging for applying the model in real information retrieval systems