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Author:

Li, Jingwen (Li, Jingwen.) (Scholars:李京文) | Lin, Shaofu (Lin, Shaofu.) | Jia, Xiaofeng (Jia, Xiaofeng.) | Gao, Song (Gao, Song.)

Indexed by:

CPCI-S

Abstract:

At present, the state continues to pay attention to the integration, convergence, opening and sharing of government information resources, and the Internet + government has made rapid progress. However, the government data sharing and opening is not thorough, government information exchange mechanism is not smooth, and there are still information islands between departments. The key issue is that government information resource directory and data sharing application are still "two layers of leather", which restricts the sharing of government information resource. Aiming at these problems, this paper carries out research on intelligent acquisition of shared data based on government information resource directory. Combining five application scenarios, on the basis of solving the problem of disjointing between directory and shared data, this paper further studies the intelligent acquisition of shared data, so as to realize seamless connection between directory and data, and realize efficient, automatic, and intelligent data acquisition.

Keyword:

data sharing Government information resource directory intelligent acquisition

Author Community:

  • [ 1 ] [Li, Jingwen]Beijing Univ Technol, Sch Software Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Lin, Shaofu]Beijing Univ Technol, Sch Software Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Lin, Shaofu]Beijing Univ Technol, Beijing Inst Smart City, Beijing 100124, Peoples R China
  • [ 4 ] [Jia, Xiaofeng]Beijing Informat Resource Management Ctr, Beijing 100101, Peoples R China
  • [ 5 ] [Gao, Song]Beijing Informat Resource Management Ctr, Beijing 100101, Peoples R China

Reprint Author's Address:

  • [Jia, Xiaofeng]Beijing Informat Resource Management Ctr, Beijing 100101, Peoples R China

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Source :

2019 2ND INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND ENGINEERING TECHNOLOGY (MEET 2019)

Year: 2019

Page: 346-353

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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