A Platform for Building up Large Scale of Semantic Information Resources
| Project/Area Number |
21300056
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Keio University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2011: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2010: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2009: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
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| Keywords | Wikipedia / オントロジー / Linked Data / 人型ロボット / ウィキペディア / プロパティ / モビリティサービス / ドライブ走行支援 / 発想支援 |
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| Research Abstract |
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.
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Report
(4 results)
Research Products
(41 results)
