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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.
Liu et al. (Fri,) studied this question.