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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Vydané v:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Ročník 1; s. 279 - 286
Hlavní autori: Tamagawa, Susumu, Sakurai, Shinya, Tejima, Takuya, Morita, Takeshi, Izumi, Noriaki, Yamaguchi, Takahira
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.08.2010
Predmet:
Accuracy
Buildings
Encyclopedias
Information resources
Internet
Online services
Ontologies
ontology
ontology learning
Resource description framework
Solar system
Vocabulary
wikipedia
ISBN:9781424484829, 1424484820
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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.
AbstractList 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.
Author Morita, Takeshi
Izumi, Noriaki
Tejima, Takuya
Tamagawa, Susumu
Sakurai, Shinya
Yamaguchi, Takahira
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  givenname: Shinya
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  organization: Keio Univ., Yokohama, Japan
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  organization: Nat. Inst. of Adv. Ind. Sci. & Technol., Tokyo, Japan
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  givenname: Takahira
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  fullname: Yamaguchi, Takahira
  email: yamaguti@ae.keio.ac.jp
  organization: Keio Univ., Yokohama, Japan
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Snippet 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...
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StartPage 279
SubjectTerms Accuracy
Buildings
Encyclopedias
Information resources
Internet
Online services
Ontologies
ontology
ontology learning
Resource description framework
Solar system
Vocabulary
wikipedia
Title Learning a Large Scale of Ontology from Japanese Wikipedia
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