Using Domain Knowledge to Guide Lattice-based Complex Data Exploration

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 propose an approach which combines semantic resources and formal concept analysis to deal with heterogenous data sets represented as many-valued (MV) formal contexts. We define a new Galois connection considering the semantic relationships between attribute values in a MV context. The semantic relationships are used to calculate the similarity between attribute values to decide whether an attribute is shared by a set of objects or not. Then, based on this Galois connection, we define MV formal concepts and MV concept lattices. Depending on a chosen similarity threshold, MV concept lattices may have different levels of precision. We take advantage of this feature to browse the content of a biological databases repository in a dynamic and progressive way. The browsing process combines the navigation in several MV concept lattices and allows zooming operations by switching between MV concept lattices with higher or lower precision.
Type de document :
Communication dans un congrès
Helder Coelho, Rudi Studer and Michael Wooldridge. 19th European Conference on Artificial Intelligence - ECAI 2010, Aug 2010, Lisbon, Portugal. IOS press, 215, pp.847--852, 2010, Frontiers in Artificial Intelligence and Applications. 〈10.3233/978-1-60750-606-5-847〉
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https://hal.inria.fr/inria-00545545
Contributeur : Ist Inria Nancy Grand Est <>
Soumis le : vendredi 10 décembre 2010 - 15:00:30
Dernière modification le : jeudi 11 janvier 2018 - 06:19:54

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Nizar Messai, Marie-Dominique Devignes, Amedeo Napoli, Malika Smaïl-Tabbone. Using Domain Knowledge to Guide Lattice-based Complex Data Exploration. Helder Coelho, Rudi Studer and Michael Wooldridge. 19th European Conference on Artificial Intelligence - ECAI 2010, Aug 2010, Lisbon, Portugal. IOS press, 215, pp.847--852, 2010, Frontiers in Artificial Intelligence and Applications. 〈10.3233/978-1-60750-606-5-847〉. 〈inria-00545545〉

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