A Platform for Building up Large Scale of Semantic Information Resources

这里讨论了如何建立本体与日语维基百科的许多属性。本体包括is-a关系（rdfs：subClassOf）、类-实例关系（rdf：type）和同义词关系（skos：altLabel），还包括属性关系和类型。属性关系是三元组，属性域（rdfs：domain）和属性范围（rdfs：range）。属性类型有对象（owl：ObjectProperty）、数据（owl：DatatypeProperty）、对称（owl：SymmetricProperty）、传递（owl：TransitiveProperty）、函数（owl：FunctionalProperty）和反向函数（owl：InverseFunctionalProperty）。实验案例研究表明，构建的日语维基百科本体在使用时，如链接数据中心，特别是在日本，从实用性上优于DBpedia。

Here is discussed how to build up ontologies with many properties from Japanese Wikipedia. The ontologies includes 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.