Research on AI Technology Empowering the Intelligent Application of Smart Cities

Since the 20th National Congress, Chinese urban intelligence has entered a new era of technological empowerment, with strong momentum in intelligent development, particularly reflected in the deep integration of digital technologies such as artificial intelligence and government management services. These technologies not only reshape the process and mode of government governance but also significantly enhance the scientificity of decision-making and service efficiency. In response to the challenges of insufficient data support capabilities and the need to improve the level of intelligence in smart city governance, this study focuses on the effective utilization of unstructured data, the construction and practice of urban knowledge graphs, and the scenario-based application of large-scale language models technology, and deeply analyze the solutions and impacts of artificial intelligence empowerment. Research has found that natural language processing of unstructured information in the field of government affairs can greatly enhance data value conversion and grasp public opinion and sentiment. At the same time, the urban economic knowledge graph serves as a comprehensive information framework, promoting the integration and insight of information in the urban economic field, and strengthening the management and forecasting capabilities of economic scenarios. In addition, large-scale language models will increasingly replace human operations in urban intelligent management, demonstrating their enormous potential in optimizing resource allocation.

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Publication Details

Journal
Scientific and Social Research
Published
2024-08-23
DOI
https://doi.org/10.26689/ssr.v6i8.7835
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Research on AI Technology Empowering the Intelligent Application of Smart Cities

Dong Liu, Song Gao
Scientific and Social Research
Smart Cities and Technologies
article

Research on AI Technology Empowering the Intelligent Application of Smart Cities

Dong Liu, Song Gao
article en

Abstract

Since the 20th National Congress, Chinese urban intelligence has entered a new era of technological empowerment, with strong momentum in intelligent development, particularly reflected in the deep integration of digital technologies such as artificial intelligence and government management services. These technologies not only reshape the process and mode of government governance but also significantly enhance the scientificity of decision-making and service efficiency. In response to the challenges of insufficient data support capabilities and the need to improve the level of intelligence in smart city governance, this study focuses on the effective utilization of unstructured data, the construction and practice of urban knowledge graphs, and the scenario-based application of large-scale language models technology, and deeply analyze the solutions and impacts of artificial intelligence empowerment. Research has found that natural language processing of unstructured information in the field of government affairs can greatly enhance data value conversion and grasp public opinion and sentiment. At the same time, the urban economic knowledge graph serves as a comprehensive information framework, promoting the integration and insight of information in the urban economic field, and strengthening the management and forecasting capabilities of economic scenarios. In addition, large-scale language models will increasingly replace human operations in urban intelligent management, demonstrating their enormous potential in optimizing resource allocation.

Scientific and Social ResearchVol. 6(8)
Shandong University (CN), Hisense (China) (CN), Shandong University of Arts
Postdoctoral Innovation Project of Shandong Province
Sustainable cities and communities
Openalex Percentile: Top 77%
Smart Cities and Technologies
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Research on AI Technology Empowering the Intelligent Application of Smart Cities — Dong Liu, Song Gao · Scientific and Social Research (2024) | TGRS Research Map | TGRS