Information retrieval by possibilistic reasoning

Abstract

In this paper, we apply possibilistic reasoning to information retrieval for documents endowed with similarity relations. On the one hand, it is used together with Boolean models for accommodating possibilistic uncertainty. The logical uncertainty principle is then interpreted in the possibilistic framework. On the other hand, possibilistic reasoning is integrated into description logic and applied to some information retrieval problems, such as query relaxation, query restriction, and exemplar-based retrieval.