政府治理大数据的共享、集成与融合

Sharing,integration and fusion of government-governance big data

为支持政府治理方法科学化、过程智能化、结果精细化,政府治理大数据共享、集成与融合不能局限于提供数据访问接口,而是要从语义层面发现实体、找出关联关系以及演化过程。然而,政府治理大数据的多源、异构、动态、海量、孤岛化特性却使之面临严峻挑战。系统性回顾了大规模分布式异构数据共享、集成、融合的基础理论和方法,并指出了构建面向政府治理大数据的高可信共享、高精准集成、高效率融合技术的迫切性。

To make governance measure scientific,governance progress intelligent,and governance result refined,sharing,integration,and fusion of government-governance big data cannot be limited to data accessing interface,but novel techniques to resolve entities according to the semantics,find out the relationship among entities,and track entities’evolution process.However,this task is challenging due to some characteristics of the government-governance big data,such as multi-source,heterogeneous,dynamic,massive and isolate.The basic theories and methods for large-scale distributed heterogeneous data sharing,integration and fusion were studied,and several important topics to construct high-trustworthy data sharing,high-precise data integration,high-efficient data fusion for government-governance big data in future were pointed out.