人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
原著論文
J-GLOBAL knowledge
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
木村 考宏川村 隆浩渡邊 勝太郎松本 尚也佐藤 智宣櫛田 達矢松邑 勝治
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2016 年 31 巻 2 号 p. N-F73_1-12

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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.
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© 人工知能学会 2016
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