Role Assertion Analysis: a proposed method for ontology refinement through assertion learning
作者： Malika Smail-Tabbone , Adrien Coulet , Amedeo Napoli , Marie-Dominique Devignes
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摘要: We propose an approach for extending domain knowledge represented in DL ontology by using extraction methods on assertions. Concept and role assertions are extracted from the form of assertion graphs, which used to generate a formal context manipulated Formal Analysis methods. The resulting expressions then as concepts roles that can be inserted into initial after validation analyst. show, through real-world example, how this has been successfully discovering new units pharmacogenomics ontology.
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