Learning a large scale of ontology from Japanese Wikipedia

Susumu Tamagawa, Shinya Sakurai, Takuya Tejima, Takeshi Morita, Noriaki Izumi, Takahira Yamaguchi

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)623-636
Number of pages14
JournalTransactions of the Japanese Society for Artificial Intelligence
Issue number5
Publication statusPublished - 2010


  • Ontology
  • Ontology learning
  • Wikipedia

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


Dive into the research topics of 'Learning a large scale of ontology from Japanese Wikipedia'. Together they form a unique fingerprint.

Cite this