2008 19th International Conference on Database and Expert Systems Application Interpretation of the Keywords Weights in Information Retrieval: Fuzzy Logic Based Approaches September 01-September 05 ISBN: 978-0-7695-3299-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.47
Logical models offer a sound theoretical framework for information retrieval (IR). Fuzzy logic provides a convenient extension of classic logic based approaches. In particular it makes it possible to grasp the graduality of some relevant concepts and to model both imprecision and uncertainty inherent to the retrieval process. In the paper we show a few possible fuzzy logic based approaches to information retrieval. In particular we study how well-known keywords weights semantics may be recovered in some more advanced models of this type.
Index Terms:
information retrieval, keywords weights, logical model, fuzzy logic
Citation:
Slawomir Zadrozny, Katarzyna Nowacka, "Interpretation of the Keywords Weights in Information Retrieval: Fuzzy Logic Based Approaches," dexa, pp.657-661, 2008 19th International Conference on Database and Expert Systems Application, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||