政府治理大数据的共享、集成与融合

doi:10.11959/j.issn.2096-0271.2020012

Abstract

Abstract:

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,highefficient data fusion for government-governance big data in future were pointed out.

Key words: government-governance, data sharing, data fusion, data integration

CLC Number:

TP315

Figures/Tables 2

References 46

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问题	目标
数据没有充分共享	防止数据被篡改，数据共享流程合规化，施政措施可溯源
数据难以有效集成	在开放数据中选择合适的数据源，生成全局模式
数据有待深度融合	高效生成实体，动态维护实体之间的关联关系

架构	代表性系统	是否存在单点故障	是否支持溯源	是否去信任	数据是否易篡改	政府治理应用情况
集中式架构	Web、FTP	是	否	否	是	普遍使用
对等网络架构	非结构化（例如Napster）、结构化（例如Chord）	否	否	否	是	较少使用
区块链系统	公有链（例如以太坊）、许可链（例如超级账本、师大链数据库）	否	是	是	否	较少使用，前景广阔

Sharing,integration and fusion of governmentgovernance big data

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