Building up Ontologies with Many Properties from Japanese Wikipedia

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Abstract

Here is discussed how to build up ontologies with many properties from Japanese Wikipedia. The ontologies include is-a relationship (rdfs:subClassOf), class-instance relationship (rdf:type) and synonym relation (skos:altLabel) moreover it includes property relations and types. Property relations are triples, property domain (rdfs:domain) and property range (rdfs:range). Property types are object (owl:ObjectProperty), data (owl:DatatypeProperty), symmetric (owl:SymmetricProperty), transitive (owl:TransitiveProperty), functional (owl:FunctionalProperty) and inverse functional (owl:InverseFunctionalProperty). Experimental case studies show us that the built Japanese Wikipedia Ontology goes better than DBpedia from utility when we use, such as Hub of Linked Data, especially in Japan. keywords: wikipedia, ontology, property, ontology learning.

Original languageEnglish
Pages (from-to)504-517
Number of pages14
JournalTransactions of the Japanese Society for Artificial Intelligence
Volume26
Issue number4
DOIs
Publication statusPublished - 2011

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Ontology

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

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title = "Building up Ontologies with Many Properties from Japanese Wikipedia",
abstract = "Here is discussed how to build up ontologies with many properties from Japanese Wikipedia. The ontologies include is-a relationship (rdfs:subClassOf), class-instance relationship (rdf:type) and synonym relation (skos:altLabel) moreover it includes property relations and types. Property relations are triples, property domain (rdfs:domain) and property range (rdfs:range). Property types are object (owl:ObjectProperty), data (owl:DatatypeProperty), symmetric (owl:SymmetricProperty), transitive (owl:TransitiveProperty), functional (owl:FunctionalProperty) and inverse functional (owl:InverseFunctionalProperty). Experimental case studies show us that the built Japanese Wikipedia Ontology goes better than DBpedia from utility when we use, such as Hub of Linked Data, especially in Japan. keywords: wikipedia, ontology, property, ontology learning.",
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