计算机科学 ›› 2023, Vol. 50 ›› Issue (5): 115-127.doi: 10.11896/jsjkx.220700042

• 数据库&大数据&数据科学 • 上一篇    下一篇


范淑焕, 侯孟书   

  1. 电子科技大学计算机科学与工程学院 成都 611731
  • 收稿日期:2022-07-04 修回日期:2022-11-09 出版日期:2023-05-15 发布日期:2023-05-06
  • 通讯作者: 侯孟书(mshou@uestc.edu.cn)
  • 作者简介:(fansh@uestc.edu.cn)
  • 基金资助:

Dataspace:A New Data Organization and Management Model

FAN Shuhuan, HOU Mengshu   

  1. School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
  • Received:2022-07-04 Revised:2022-11-09 Online:2023-05-15 Published:2023-05-06
  • About author:FAN Shuhuan,born in 1988,Ph.D,is a member of China Computer Federation.Her main research interests include data management and big data analysis.
    HOU Mengshu,born in 1971,professor,Ph.D supervisor,is a senior member of China Computer Federation.His main research interests include data management and natural language processing.
  • Supported by:
    National Key R&D Program of China(2019YFB1705601) and National Natural Science Foundation of China(62072075).

摘要: 随着数字经济的快速发展,如何实现非可信环境下的多方数据融合,为跨组织场景的数据共享、数据分析以及数据服务寻找新途径,成为了社会数字化产业升级中面临的新问题。数据空间为解决这些问题带来了新思路。文中回顾了数据的组织和管理发展历程,指出在大数据背景下数据空间的系统研究具有急迫性和重要性,分析了数据空间的内涵并进行了形式化描述,提出了基于数据空间的大数据平台架构,总结描述了3类经典的应用场景。围绕数据空间的构建工作,从数据建模、动态演变、数据查询处理、安全与隐私拓展方面分析了当前的关联研究问题和主要技术方法,简述了数据空间在不同领域的实现和应用情况。最后从多模态数据融合、高效的查询处理、数据的安全共享及基于数据空间的大数据平台构建分析方面展望了研究前景和挑战。

关键词: 数据空间, 大数据, 数据共享, 数据建模, 动态演变, 数据查询, 安全与隐私

Abstract: With the rapid development of the digital economy,how to realize multi-party data fusion in an untrusted environment and find new ways for data sharing,data analysis and data services in cross-organizational scenarios has become a new problem in the upgrading of social digital industries.Dataspace brings new ideas to solve these problems.The development history of data organization and management is reviewed,and it points out that in the background of big data,systematic research on dataspace is urgent and important.The connotation of dataspace is analyzed and a formal description is given.A big data platform architecture based on dataspace is proposed,and three classic application scenarios are briefly described.Focusing on the construction of dataspace,it analyzes the current correlation research issues and main technical methods from data modeling,dynamic evolution,data query processing,security and privacy,and briefly describes the realization and application of dataspace in different fields.Finally,the research outlook and challenges are prospected from the perspective of multimodal data fusion,efficient query processing,safe data sharing,and the construction of a big data platform based on dataspace.

Key words: Dataspace, Big data, Data sharing, Data modeling, Dynamic evolution, Data query, Security and privacy


  • TP311
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