Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Original Paper
J-GLOBAL knowledge
Design and Building of Large-scale Linked Data Sets for Science and Technology Information
Takahiro KimuraTakahiro KawamuraKatsutaro WatanabeNaoya MatsumotoTomonori SatoTatsuya KushidaKatsuji Matsumura
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JOURNAL FREE ACCESS

2016 Volume 31 Issue 2 Pages N-F73_1-12

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Abstract
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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© The Japanese Society for Artificial Intelligence 2016
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