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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Veröffentlicht in:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Jg. 1; S. 279 - 286
Hauptverfasser: Tamagawa, Susumu, Sakurai, Shinya, Tejima, Takuya, Morita, Takeshi, Izumi, Noriaki, Yamaguchi, Takahira
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2010
Schlagworte:
Accuracy
Buildings
Encyclopedias
Information resources
Internet
Online services
Ontologies
ontology
ontology learning
Resource description framework
Solar system
Vocabulary
wikipedia
ISBN:9781424484829, 1424484820
Online-Zugang:Volltext
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Zusammenfassung: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