Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval

Nizar Messai 1 Marie-Dominique Devignes 1 Amedeo Napoli 1 Malika Smaïl-Tabbone 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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.
Type de document :
Communication dans un congrès
Malik Ghallab. 18th European Conference in Artificial Intelligence - ECAI 2008, Jul 2008, Patras, Greece. IOS Press, pp.127-131, 2008
Liste complète des métadonnées

https://hal.inria.fr/inria-00338671
Contributeur : Malika Smail-Tabbone <>
Soumis le : jeudi 13 novembre 2008 - 23:15:38
Dernière modification le : jeudi 11 janvier 2018 - 06:19:54

Identifiants

  • HAL Id : inria-00338671, version 1

Collections

Citation

Nizar Messai, Marie-Dominique Devignes, Amedeo Napoli, Malika Smaïl-Tabbone. Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval. Malik Ghallab. 18th European Conference in Artificial Intelligence - ECAI 2008, Jul 2008, Patras, Greece. IOS Press, pp.127-131, 2008. 〈inria-00338671〉

Partager

Métriques

Consultations de la notice

203