書誌事項
- タイトル別名
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- Design and Building of Large-scale Linked Data Sets for Science and Technology Information
- 科学技術情報に関する大規模Linked Dataセットの設計および構築
説明
In order to develop innovative solutions in science and technology, Japan Science and Technology Agency (JST) has built J-GLOBAL knowledge (JGk), which provides papers, patents, researchers' information, technological thesaurus, and scientific data as Linked Data, which have been accumulated by JST since 1957. The total size of all datasets is about 15.7 billion triples, and the JGk website provides a SPARQL endpoint to access part of the datasets. This paper describes several issues on schema design to construct a large-scale Linked Data, and construction methods, especially for linking to external datasets, such as DBpedia Japanese. Finally, we describe performance problems and the future works.
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 31 (2), N-F73_1-12, 2016-03-01
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
- 1390001205107483264
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- NII論文ID
- 130005145534
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可