Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2008

Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval

Nizar Messai
Marie-Dominique Devignes
Amedeo Napoli

Résumé

In this paper we present an extension of the Galois connection to deal with many-valued formal contexts. We define a many-valued Galois connection with respect to similarity between attribute values in a many-valued context. Then, we define many-valued formal concepts and many-valued concept lattices. Depending on a similarity threshold, many-valued concept lattices may have different levels of precision. This feature makes them very useful for multilevel conceptual clustering. Many-valued concept lattices are also used in a new lattice-based information retrieval approach for efficiently answering complex queries.
Fichier non déposé

Dates et versions

inria-00338671 , version 1 (13-11-2008)

Identifiants

  • HAL Id : inria-00338671 , version 1

Citer

Nizar Messai, Marie-Dominique Devignes, Amedeo Napoli, Malika Smaïl-Tabbone. Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval. 18th European Conference in Artificial Intelligence - ECAI 2008, Jul 2008, Patras, Greece. pp.127-131. ⟨inria-00338671⟩
102 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More