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Communication Dans Un Congrès Année : 2014

Text Retrieval Based on Dyadic Conceptual Projection

Résumé

This work exploits the use of Triadic Concept Analysis (TCA) for document retrieval to efficiently answer users' queries. The proposed conceptual analysis aims at describing the documents according to three hierarchical levels with a triadic computing model. It is based on normalisation and prototyping, which, by projection, induce a formal dyadic context. This representation has enabled us to visualize triadic concepts associated with the documents, sentences and words through the construction of fuzzy concept lattice. The lattices generated are then used to organize documents in a hierarchical structure to facilitate retrieval process.
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Dates et versions

hal-01126572 , version 1 (06-03-2015)

Identifiants

  • HAL Id : hal-01126572 , version 1

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Sonia Alouane-Ksouri, Minyar Sassi Hidri, Kamel Barkaoui. Text Retrieval Based on Dyadic Conceptual Projection. 25th International Workshop on Database and Expert Systems Applications (DEXA), 2014, Sep 2014, X, France. pp.198 - 202. ⟨hal-01126572⟩
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