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 , 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.
Keywords : ontology learning open-world assumption possibility theory
Type de document :
Communication dans un congrès
Krzysztof Janowicz; Stefan Schlobach; Patrick Lambrix; Eero Hyvönen. Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014. Proceedings, Nov 2014, Linköping, Sweden. Springer, 8876, pp.519 - 530, 2014, Lecture Notes in Artificial Intelligence. 〈http://www.ida.liu.se/conferences/EKAW14/home.html〉. 〈10.1007/978-3-319-13704-9_39〉
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Andrea G. B. Tettamanzi, Catherine Faron Zucker, Fabien Gandon. Testing OWL Axioms against RDF Facts: A Possibilistic Approach. Krzysztof Janowicz; Stefan Schlobach; Patrick Lambrix; Eero Hyvönen. Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014. Proceedings, Nov 2014, Linköping, Sweden. Springer, 8876, pp.519 - 530, 2014, Lecture Notes in Artificial Intelligence. 〈http://www.ida.liu.se/conferences/EKAW14/home.html〉. 〈10.1007/978-3-319-13704-9_39〉. 〈hal-01084444〉

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