跳到主要导航 跳到搜索 跳到主要内容

From big data to big knowledge: HACE + BigKE

  • Hefei University of Technology
  • University of Vermont
  • CAS - Academy of Mathematics and System Sciences

科研成果: 期刊稿件文献综述同行评审

25 引用 (Scopus)

摘要

Big data deals with heterogeneous and autonomous multi-sources, and aims at mining complex and evolving relationships among data. With the fast development of data collection, data storage and networking technologies, big data analytics has become a hot topic for research and development in various fields. This paper starts with the essential characteristics of big data, reviews existing popular models for big data, including 5V, 5R, 4P and the HACE theorem. Also, from the viewpoint of knowledge modeling, this paper introduces BigKE, a big data knowledge engineering model for big knowldedge, and discusses the challenges and opportunities of big knowledge research and development.

源语言英语
页(从-至)965-982
页数18
期刊Zidonghua Xuebao/Acta Automatica Sinica
42
7
DOI
出版状态已出版 - 1 7月 2016

学术指纹

探究 'From big data to big knowledge: HACE + BigKE' 的科研主题。它们共同构成独一无二的指纹。

引用此