A possibilistic-logic-based information retrieval model with various term-weighting approaches

Authors:
Janusz Kacprzyk;Katarzyna Nowacka;Sławomir Zadrożny
Affiliations:
Systems Research Institute PAS, Warsaw, Poland;Doctoral Studies (SRI PAS), Warsaw, Poland;Systems Research Institute PAS, Warsaw, Poland
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

A new possibilistic-logic-based information retrieval model is presented. Its main feature is an explicit representation of both vagueness and uncertainty pervading the textual information representation and processing. The weights of index terms in documents and queries are directly interpreted as quantifying this vagueness and uncertainty. The classical approaches to the term-weighting are tested on a standard data set in order to validate their appropriateness for expressing vagueness and uncertainty.