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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bosc, P. Ughetto, L. Pivert, O. Claveau, V. |
| Copyright Year | 2009 |
| Description | Author affiliation: Université Rennes 2 - IRISA, Rennes, France (Ughetto, L.) || CNRS - IRISA, Rennes, France (Claveau, V.) || ENSSAT - IRISA, Lannion, France (Bosc, P.; Pivert, O.) |
| Abstract | This paper investigates the use of fuzzy logic mechanisms coming from the database community, namely graded inclusions, to model the information retrieval process. Two kinds of graded inclusions are considered. In this framework, documents and queries are represented by fuzzy sets, which are paired with operations like fuzzy implications and T-norms. Through different experiments, it is shown that only some among the wide range of fuzzy operations are relevant for information retrieval. When appropriate settings are chosen, it is possible to mimic classical systems, thus yielding results rivaling those of state-of-the-art systems. These positive results validate the proposed approach, while negative ones give some insights on the properties needed by such a model. Moreover, this paper shows the added-value of this graded inclusion-based model, which gives new and theoretically grounded ways for a user to easily weight his query terms, to include negative information in his queries, or to expand them with related terms. |
| Starting Page | 2088 |
| Ending Page | 2093 |
| File Size | 351987 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424435968 |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.2009.5277249 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-20 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information retrieval Fuzzy logic Fuzzy sets Databases Optical computing Boolean functions Weight measurement Particle measurements |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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