Testing OWL Axioms against RDF Facts: A Possibilistic Approach

Andrea G. B. Tettamanzi 1 Catherine Faron Zucker 1 Fabien Gandon 1
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Automatic knowledge base enrichment methods rely criti-cally on candidate axiom scoring. The most popular scoring heuristics proposed in the literature are based on statistical inference. We argue that such a probability-based framework is not always completely satis-factory and propose a novel, alternative scoring heuristics expressed in terms of possibility theory, whereby a candidate axiom receives a bipolar score consisting of a degree of possibility and a degree of necessity. We evaluate our proposal by applying it to the problem of testing SubClassOf axioms against the DBpedia RDF dataset.
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Andrea G. B. Tettamanzi, Catherine Faron Zucker, Fabien Gandon. Testing OWL Axioms against RDF Facts: A Possibilistic Approach. Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014. Proceedings, Nov 2014, Linköping, Sweden. pp.519 - 530, ⟨10.1007/978-3-319-13704-9_39⟩. ⟨hal-01084444⟩

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