Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Research on the Impact of the Knowledge Graph on Public Service Quality

Authors
Yingjing Wang1, *
1Xiamen University Malaysia, Jalan Sunsuria, 43900, Bandar Sunsuria, Sepang, Selangor, Malaysia
*Corresponding author. Email: Wangyingjing70@gmail.com
Corresponding Author
Yingjing Wang
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_149How to use a DOI?
Keywords
Artificial intelligence; Knowledge graph; Public services; Quality improvement
Abstract

The improvement of public service quality is an inevitable requirement for promoting national well-being, safeguarding public interests, and promoting social progress. At present, artificial intelligence technology characterized by permeability, synergy, substitution, and innovation is defined as the prime mover to the development in various industries. Artificial intelligence technology represented by the knowledge graph will complete the transformation of the public service system from automation to intelligence. Based on the existing problems of public service and the technical logic of the knowledge graph, this article attempts to explore the possibility of the knowledge graph to improve the quality of public services. By discussing the technical characteristics and creation process of the knowledge graph, a feasible application scheme in grassroots service is proposed.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_149
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_149How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yingjing Wang
PY  - 2023
DA  - 2023/07/26
TI  - Research on the Impact of the Knowledge Graph on Public Service Quality
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1383
EP  - 1396
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_149
DO  - 10.2991/978-94-6463-200-2_149
ID  - Wang2023
ER  -