A Possibilistic-Logic-Based Information Retrieval Model with Various Term-Weighting Approaches
نویسندگان
چکیده
A new, possibilistic logic based information retrieval model is presented. Its main feature is an explicit representation of both the vagueness and the uncertainty typical for 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.
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