論文 ·日本語 ·未確認
Learning a Large Scale of Ontology from Japanese Wikipedia
Susumu Tamagawa ・ Shinya Sakurai ・ Takuya Tejima ・ Takeshi Morita ・ Noriaki Izumi ・ Takahira Yamaguchi
- 刊行年
- 2010-01-01
- 収録
- 『Transactions of the Japanese Society for Artificial Intelligence』 25(5) pp. 623-636
- 出版
- The Japanese Society for Artificial Intelligence
- 言語
- 英語
- OpenAlex
- W1975451070
- DOI
- 10.1527/tjsai.25.623
- MAG
- 1975451070
- ISSN
- 1346-0714
- URL
- https://www.jstage.jst.go.jp/article/tjsai/25/5/25_5_623/_pdf
要旨
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 relationship), rdf:type (class-instance relationship), owl:Object/DatatypeProperty (Infobox triple), rdfs:domain (property domain), and skos:altLabel (synonym). 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.
主題
この書誌の出所
- openalex— W1975451070（2026-08-13取得）
引用
Susumu Tamagawa・Shinya Sakurai・Takuya Tejima・Takeshi Morita・Noriaki Izumi・Takahira Yamaguchi（2010-01-01） Learning a Large Scale of Ontology from Japanese Wikipedia 『Transactions of the Japanese Society for Artificial Intelligence』 25(5) pp. 623-636 The Japanese Society for Artificial Intelligence