Modeling information retrieval with probabilistic argumentation systems

Authors:
Justin Picard;Rolf Haenni
Affiliations:
Institut Interfaculaire d'Informatique, University of Neuchâtel, Neuchâtel, Switzerland;Institut d'Informatique, University of Fribourg, Fribourg, Switerland
Venue:
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Year:
1998

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Abstract

Probabilistic Argumentation Systems (PAS) are a technique for representing uncertainty both symbolically and numerically. It is shown that this technique, which combines symbolic logic and probability, can be used as a general model of information retrieval. PAS provide a dual (symbolic and numerical) interpretation of the logical uncertainty principle, and are a flexible model for integrating various sources of information about query or document contents.