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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Vydáno v:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Ročník 1; s. 279 - 286
Hlavní autoři: Tamagawa, Susumu, Sakurai, Shinya, Tejima, Takuya, Morita, Takeshi, Izumi, Noriaki, Yamaguchi, Takahira
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2010
Témata:
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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Shrnutí: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