计算机科学 ›› 2023, Vol. 50 ›› Issue (5): 115-127.doi: 10.11896/jsjkx.220700042
范淑焕, 侯孟书
FAN Shuhuan, HOU Mengshu
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。
中图分类号:
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