Learning a large scale of ontology from Japanese Wikipedia

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)

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 relationships), rdf: type (class-instance relationships), owl: Object/DatatypeProperty (Infobox triples), rdfs: domain (property domains), and skos: altLabel (synonyms). 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
Title of host publication2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
Pages279-286
Number of pages8
DOIs
Publication statusPublished - 2010 Dec 13
Event2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON, Canada
Duration: 2010 Aug 312010 Sep 3

Publication series

NameProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
Volume1

Other

Other2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
CountryCanada
CityToronto, ON
Period10/8/3110/9/3

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

Cite this

Tamagawa, S., Sakurai, S., Tejima, T., Morita, T., Izumi, N., & Yamaguchi, T. (2010). Learning a large scale of ontology from Japanese Wikipedia. In 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 (pp. 279-286). [5616563] (Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010; Vol. 1). https://doi.org/10.1109/WI-IAT.2010.177