DocumentCode
531607
Title
Learning a Large Scale of Ontology from Japanese Wikipedia
Author
Tamagawa, Susumu ; Sakurai, Shinya ; Tejima, Takuya ; Morita, Takeshi ; Izumi, N. ; Yamaguchi, Takahira
Author_Institution
Keio Univ., Yokohama, Japan
Volume
1
fYear
2010
fDate
Aug. 31 2010-Sept. 3 2010
Firstpage
279
Lastpage
286
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.
Keywords
Internet; encyclopaedias; linguistics; ontologies (artificial intelligence); EDR WordNet; Japanese Wikipedia; Japanese WordNet; linguistic ontologies; ontology; ontology learning; wikipedia;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-8482-9
Electronic_ISBN
978-0-7695-4191-4
Type
conf
DOI
10.1109/WI-IAT.2010.177
Filename
5616563
Link To Document