書誌事項
- タイトル別名
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- Learning a Large Scale of Ontology from Japanese Wikipedia
説明
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.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 25 (5), 623-636, 2010
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390001205106578048
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- NII論文ID
- 130000308072
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- BIBCODE
- 2010TJSAI..25..623T
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可
