Learning a Large Scale of Ontology from Japanese Wikipedia

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...

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Bibliographic Details
Published in:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Vol. 1; pp. 279 - 286
Main Authors: Tamagawa, Susumu, Sakurai, Shinya, Tejima, Takuya, Morita, Takeshi, Izumi, Noriaki, Yamaguchi, Takahira
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2010
Subjects:
Accuracy
Buildings
Encyclopedias
Information resources
Internet
Online services
Ontologies
ontology
ontology learning
Resource description framework
Solar system
Vocabulary
wikipedia
ISBN:9781424484829, 1424484820
Online Access:Get full text
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Summary: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.
ISBN:9781424484829
1424484820
DOI:10.1109/WI-IAT.2010.177