A Platform for Building up Large Scale of Semantic Information Resources

这里讨论了如何从日语维基百科中构建具有许多属性的本体。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），此外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）。属性类型包括对象（owl: ObjectProperty）、数据（owl: DatatypeProperty）、对称（owl: SymmetricProperty）、传递（owl: TransitiveProperty）、功能（owl: FunctionalProperty）和逆功能（owl: InverseFunctionalProperty）。实验案例研究表明，当我们使用诸如Hub of Linked Data等实用工具时，构建的日语维基百科本体比DBpedia更好，特别是在日本。

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.