Ontology Refinement through Role Assertion Analysis: Example in Pharmacogenomics

Adrien Coulet 1 Malika Smail-Tabbone 1 Amedeo Napoli 1 Marie-Dominique Devignes 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We propose an approach for extending domain knowledge represented in DL ontology by using knowledge extraction methods on ontology assertions. Concept and role assertions are extracted from the ontology in the form of assertion graphs, which are used to generate a formal context manipulated by Formal Concept Analysis methods. The resulting expressions are then represented as DL concepts and roles that can be inserted into the initial ontology after validation by the analyst. We show, through a real-world example, how this approach has been successfully used for discovering new knowledge units in a pharmacogenomics ontology.
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Conference papers
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https://hal.inria.fr/inria-00338677
Contributor : Malika Smail-Tabbone <>
Submitted on : Thursday, November 13, 2008 - 11:31:11 PM
Last modification on : Thursday, January 11, 2018 - 6:19:54 AM

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Adrien Coulet, Malika Smail-Tabbone, Amedeo Napoli, Marie-Dominique Devignes. Ontology Refinement through Role Assertion Analysis: Example in Pharmacogenomics. 21st International Workshop on Description Logics - DL2008, May 2008, Dresden, Germany. ⟨inria-00338677⟩

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