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Communication Dans Un Congrès Année : 2014

A tripartite graph-based fuzzy co-similarities for document retrieval

Résumé

This work exploits the use of a fuzzy many-valued concept analysis for document retrieval to efficiently answer users' queries. For the purpose of visualization, we propose to deal with fuzzy many-valued formal contexts in a tripartite graph with respect to fuzzy triadic document co-similarities. The proposed model aims at describing the documents according to three hierarchical levels. It is based on a prototyping of feature vectors applied to documents, sentences and words. The recourse to fuzzy conceptual scaling has enabled us to visualize many-valued concepts through the construction of fuzzy nested lattices. Once this built, we proceed to document retrieval using building process and lattice incremental path such a simple information retrieval.
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Dates et versions

hal-01126573 , version 1 (06-03-2015)

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  • HAL Id : hal-01126573 , version 1

Citer

Sonia Alouane-Ksouri, Minyar Sassi Hidri, Kamel Barkaoui. A tripartite graph-based fuzzy co-similarities for document retrieval. 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014, Aug 2014, X, France. pp.575-580. ⟨hal-01126573⟩
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