Formal Concept Analysis: A unified framework for building and refining ontologies

Rokia Bendaoud 1 Amedeo Napoli 1 Yannick Toussaint 1, *
* Auteur correspondant
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Building a domain ontology usually requires several resources of different types, e.g. thesaurus, object taxonomies, terminologies, databases, sets of documents, etc. where objects are described in terms of attributes and relations with other objects. One important and hard problem is to be able to combine and merge knowledge units extracted from these different resources within an homogeneous formal representation (such as a description logic or OWL). This purpose of this article is to show which kinds of source resources should be available for designing a real-world ontology in a given application domain, and then how Formal Concept Analysis and its extension Relational Concept Analysis can be used for materializing an associated ontology. This resulting target ontology can then be encoded within OWL or a description logic formalism, allowing classification-based reasoning. A real-world example in microbiology is detailed. Finally, an evaluation including tests on recall and precision shows how source resources can be completed with other existing domain resources using a semi-automatic analysis process.
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Communication dans un congrès
Aldo Gangemi and Jérôme Euzenat. 16th International Conference on Knowledge Engineering and Knowledge Management - EKAW 2008, Sep 2008, Acitrezza, Catania, Italy. Springer Berlin / Heidelberg, 5268, pp.156-171, 2008, Lecture Notes in Artificial Intelligence. 〈10.1007/978-3-540-87696-0_16〉
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Contributeur : Rokia Bendaoud <>
Soumis le : mercredi 3 décembre 2008 - 15:14:53
Dernière modification le : jeudi 11 janvier 2018 - 06:19:54
Document(s) archivé(s) le : jeudi 11 octobre 2012 - 12:30:36

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Rokia Bendaoud, Amedeo Napoli, Yannick Toussaint. Formal Concept Analysis: A unified framework for building and refining ontologies. Aldo Gangemi and Jérôme Euzenat. 16th International Conference on Knowledge Engineering and Knowledge Management - EKAW 2008, Sep 2008, Acitrezza, Catania, Italy. Springer Berlin / Heidelberg, 5268, pp.156-171, 2008, Lecture Notes in Artificial Intelligence. 〈10.1007/978-3-540-87696-0_16〉. 〈inria-00344051〉

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