Sharing,integration and fusion of governmentgovernance big data

doi:10.11959/j.issn.2096-0271.2020012

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Sharing,integration and fusion of governmentgovernance big data

Topic:government governance big data | 更新时间：2024-06-03

- Sharing,integration and fusion of governmentgovernance big data
- Big Data Research Vol. 6, Issue 2, Pages: 2020012-1(2020)
- 作者机构：
  
  1. 华东师范大学数据科学与工程学院，上海 200062
  2. 中国人民大学信息学院，北京 100872
  3. 中山大学数据科学与计算机学院，广东广州 510006
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2020012
  CLC： TP315
- Online First：2020-03，
  
  Published：15 March 2020
- 稿件说明：
移动端阅览
Sharing,integration and fusion of governmentgovernance big data[J]. Big Data Research, 2020, 6(2): 2020012-1.
DOI：

Sharing,integration and fusion of governmentgovernance big data[J]. Big Data Research, 2020, 6(2): 2020012-1. DOI： 10.11959/j.issn.2096-0271.2020012.

摘要

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。

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.

关键词

Keywords

references

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