An adaptation of a model-driven engineering based RCA process for bi-level models elements / meta-elements : Application to description logics

Abstract : Relational Concept Analysis (RCA) facilitates the discovery of new abstractions in data descriptions including relations. A model driven approach for RCA implementation makes possible to deal with most input data (models) simply by configuring the transformation for the chosen input data type (metamodel). Until now, we only applied this approach to one-level models (mainly class models). In this paper we study RCA applied to bi-levels models, which mix elements and meta-elements (class-instance models, e.g. OWL models). We propose a model hybridisation approach to tackle the encoding problems and we provide a case study showing the results obtained on OWL models.
Type de document :
Communication dans un congrès
R. Belohlavek; S. O. Kuznetsov. CLA: Concept Lattices and their Applications, Oct 2008, Olomouc, Czech Republic. Palacky University, 6th International Conference on Concept Lattices and Their Applications, pp.109-120, 2008, 〈http://cla2008.inf.upol.cz/〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00322897
Contributeur : Marianne Huchard <>
Soumis le : vendredi 19 septembre 2008 - 08:40:30
Dernière modification le : jeudi 24 mai 2018 - 15:59:22

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  • HAL Id : lirmm-00322897, version 1

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Xavier Dolques, Jean-Rémy Falleri, Marianne Huchard, Clémentine Nebut. An adaptation of a model-driven engineering based RCA process for bi-level models elements / meta-elements : Application to description logics. R. Belohlavek; S. O. Kuznetsov. CLA: Concept Lattices and their Applications, Oct 2008, Olomouc, Czech Republic. Palacky University, 6th International Conference on Concept Lattices and Their Applications, pp.109-120, 2008, 〈http://cla2008.inf.upol.cz/〉. 〈lirmm-00322897〉

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