Learning a large scale of ontology from Japanese Wikipedia
|Learning a large scale of ontology from Japanese Wikipedia|
|Author(s)||Tamagawa S., Sakurai S., Tejima T., Morita T., Izumi N., Yamaguchi T.|
|Published in||Transactions of the Japanese Society for Artificial Intelligence|
|Keyword(s)||Ontology, Ontology learning, Wikipedia (Extra: Building costs, Linguistic ontology, Ontology learning, Structure information, Wikipedia, Wordnet, Ontology)|
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Learning a large scale of ontology from Japanese Wikipedia is a 2010 journal article written in Japanese by Tamagawa S., Sakurai S., Tejima T., Morita T., Izumi N., Yamaguchi T. and published in Transactions of the Japanese Society for Artificial Intelligence.
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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