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  • 标题:Exploring Freebase Potentials for Big Data Challenges
  • 本地全文:下载
  • 作者:Mahmoud Elbattah ; Mohamed Roshdy ; Mostafa Aref
  • 期刊名称:International Journal of Computer and Information Technology
  • 印刷版ISSN:2279-0764
  • 出版年度:2014
  • 卷号:3
  • 期号:3
  • 页码:671
  • 出版社:International Journal of Computer and Information Technology
  • 摘要:As Big Data investments are persistently growing worldwide by businesses and governments as well, enterprises currently recognize their Big Data as a priceless source for business process improvement and sustainability. Consequently, Big Data practitioners might face difficulties in accessing real-world big datasets. However, open-data portals, such as Freebase, present new insights for researchers to facilitate accessibility to massive datasets. The paper provides an exploratory study of Freebase in an attempt to demystify its actual potentials for building applications able to process Big Data. For that, Freebase is deconstructed by explaining its technical features, data model and querying capabilities. Furthermore, the differences between the two approaches of Freebase and Wikipedia are highlighted in a comparative perspective. .
  • 关键词:Freebase; Big Data; Open Data
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