Automatic Extraction of Axioms from Wikipedia Using SPARQL
Building rich axiomatic ontologies automatically is a step towards the realization of the Semantic Web. In this paper, we describe an automatic approach to extract complex classes’ axioms from Wikipedia definitions based on recurring syntactic structures. The objective is to enrich DBpedia concept descriptions with formal definitions. We leverage RDF to build a sentence representation and SPARQL to model patterns and their transformations, thus easing the querying of syntactic structures and the reusability of the extracted patterns. Our preliminary evaluation shows that we obtain satisfying results, which will be further improved.
KeywordsQuery Answering Complete Axiom Ontology Learning Class Axiom Lightweight Ontology
This research has been funded by the NSERC Discovery Grant Program.
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