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Journal Articles International Journal of Approximate Reasoning Year : 2017

Possibilistic testing of OWL axioms against RDF data


We develop the theory of a possibilistic framework for OWL 2 axiom testing against RDF datasets, as an alternative to statistics-based heuristics. The intuition behind it is to evaluate the credibility of OWL 2 axioms based on the evidence available in the form of a set of facts contained in a chosen RDF dataset. To achieve it, we first define the notions of development, content, support , confirmation and counterexample of an axiom. Then we use these notions to define the possibility and necessity of an axiom and its acceptance/rejection index combining both of them. Finally, we report a practical application of the proposed framework to test SubClassOf axioms against the DBpedia RDF dataset.
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hal-01591001 , version 1 (20-09-2017)



Andrea Tettamanzi, Catherine Faron Zucker, Fabien Gandon. Possibilistic testing of OWL axioms against RDF data. International Journal of Approximate Reasoning, 2017, ⟨10.1016/j.ijar.2017.08.012⟩. ⟨hal-01591001⟩
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