Learning a large scale of ontology from Japanese Wikipedia

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Abstract

Here is discussed how to learn a large scale of ontology from Japanese Wikipedia. The learned ontology includes the following properties: rdfs:subClassOf (IS-A relationship), rdf:type (class-instance relationship), owl:Object/DatatypeProperty (Infobox triple), rdfs:domain (property domain), and skos:altLabel (synonym). Experimental case studies show us that the learned Japanese Wikipedia Ontology goes better than already existing general linguistic ontologies, such as EDR and Japanese WordNet, from the points of building costs and structure information richness.

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Tamagawa, S., Sakurai, S., Tejima, T., Morita, T., Izumi, N., & Yamaguchi, T. (2010). Learning a large scale of ontology from Japanese Wikipedia. Transactions of the Japanese Society for Artificial Intelligence, 25(5), 623–636. https://doi.org/10.1527/tjsai.25.623

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