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J-GLOBAL ID:201802236045642923   Reference number:18A0369100

Characteristics of Resource Propagation Algorithm to extend Knowledge Bases in Linked Data

Linked Dataの知識ベースを拡張するResource Propagation Algorithmの特性
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Material:
Volume: 117  Issue: 388(ICM2017 33-54)  Page: 111-116  Publication year: Jan. 11, 2018 
JST Material Number: S0532B  ISSN: 0913-5685  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Information processing in general  ,  Database systems 
Reference (12):
  • 高度情報通信ネットワーク社会推進戦略本部,′′電子行政オープンデータ戦略′′,首相官邸, http://www.kantei.go.jp/jp/singi/it2/pdf/120704_siryou2.pdf(Accessed on December 22,2017),2012.
  • Creative Commons, ′′What is Creative Commons′′, https://wiki.creativecommons.org/images/3/35/Creativecommons-what-is-creative-commons_eng.pdf (Accessed on December 22, 2017).
  • Tom Heath, Christian Bizer, ′′Linked Data: Evolving the Web into a Global Data Space′′, Morgan & Claypool Publishers, ASIN: B009KC1YM2, 2011.
  • Shelley Powers, ′′Practical RDF: Solving Problems with the Resource Description Framework′′, O'Reilly Media, ASIN: B0026OR2X6, 2003.
  • 一般社団法人リンクデータ,′′LinkData.org′′, http://linkdata.org/(Accessed on December 22,2017).
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