On the semantics of fuzzy logic
International Journal of Approximate Reasoning
Attributive concept descriptions with complements
Artificial Intelligence
A model of information retrieval based on a terminological logic
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Handbook of logic in artificial intelligence and logic programming (vol. 3)
A probabilistic terminological logic for modelling information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Possibilistic reasoning—a mini-survey and uniform semantics
Artificial Intelligence
A relevance terminological logic for information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieval of complex objects using a four-valued logic
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Dempster-Shafer's theory of evidence applied to structured documents: modelling uncertainty
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Logical models in information retrieval: introduction and overview
Information Processing and Management: an International Journal
Using a belief revision operator for document ranking in extended Boolean models
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Using Default Logic in Information Retrieval
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Bipolar queries in textual information retrieval: A new perspective
Information Processing and Management: an International Journal
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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.