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Published in:
2014 | OriginalPaper | Chapter
Testing OWL Axioms against RDF Facts: A Possibilistic Approach
Authors : Andrea G. B. Tettamanzi, Catherine Faron-Zucker, Fabien Gandon
Published in: Knowledge Engineering and Knowledge Management
Publisher: Springer International Publishing
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Automatic knowledge base enrichment methods rely critically 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 satisfactory 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.