摘要
人工智能已经成为下一轮工业革命的核心内容,各国争先对其进行部署和发展。为了更好地了解我国人工智能领域的现状和发展,本文基于知识图谱的研究方法,以Web of Science和CNKI中人工智能相关文献作为样本数据,运用CiteSpace软件,通过双图叠加分析、共词分析和突现词分析等功能,从全球的视角对我国人工智能研究近十年来的发展面貌、特点和演化历程做出了可视化的分析。研究发现:人工智能的研究已经呈现出了多学科和学科融合发展的态势;我国在人工智能领域的发展已经取得成果,但距离顶尖还有差距;我国对人工智能应用的研究更为丰富,这与我国的丰富的数据资源和应用场景有关;未来我们应更注重人才的培养,对基础技术的长期支持和投入,同时期待人工智能技术能够带来更为深刻的变革。
Artificial intelligence(AI) is the most important core content in the fourth Industrial Revolution. More and more governments and enterprises have realized the importance of it and have made strategic adjustments one after another, actively deploying their own artificial intelligence development strategies. In recent ten years, the related literature of artificial intelligence research presents a blowout trend. The literature review of these research results based on traditional methods has encountered many problems, such as the wide is too range, the quantity is too much and the difficulty in objective analysis. Therefore, several scholars have used knowledge mapping to conduct quantitative research on literature in the field of artificial intelligence, but none of them has studied the development in China from a global perspective. In this context, it is of great significance for the development of AI fields in China to analyze the current appearance and trend of AI research in the world and the characteristics of those in China. In order to solve these problems, this paper summarizes the characteristics of relevant research on AI from the perspective of global and China, and analyzes the research hotspots and evolution trends in this field in China. It is hoped to further fill in the gaps in existing research, provide valuable reference information for the development of AI in China, and thus facilitate its future construction and development.Based on the research method of knowledge mapping, this paper uses the literatures related to AI in Web of Science and CNKI as the data source, and utilizes CiteSpace software to make a visual analysis of the development, characteristics, and evolution process of China′s AI research in the recent ten years from a global perspective. First, through the function of dual-map overlay, this paper analyzes the characteristics of AI research from a macro perspective, and also analyzes China′s role in AI research from the perspective of countries and institutions. Then, by using the co-word analyze of the subject words, this paper compares the research hotspots in the world and analyzes the characteristics of relevant researches in China. At the same time, the evolution trend of artificial intelligence research in China is analyzed by using burst term analysis. Finally, the conclusions of the research and analysis are summarized, and some suggestions are put forward.It is found that the research of artificial intelligence has shown a trend of multi-discipline and interdisciplinary integration. China′s development in the field of artificial intelligence has achieved results, but there is still a gap between the top. China′s research on the application of artificial intelligence is more abundant, which is related to China′s rich data resources and application scenarios. In the future, we should pay more attention to the cultivation of talents, long-term support and investment in basic technologies, and expect that artificial intelligence technology can bring more profound changes.
作者
赖红波
赵逸维
Lai Hongbo;Zhao Yiwei(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《科研管理》
CSSCI
CSCD
北大核心
2023年第1期8-15,共8页
Science Research Management
基金
2020年上海市哲学与社会科学一般项目基金:“上海进一步推进人工智能与数字经济发展的路径与机制研究”(2020JG016-BJB560,2020.07—2021.12)。
关键词
人工智能
科学知识图谱
可视化分析
中国人工智能发展
artificial intelligence
map of scientific knowledge
visual analysis
development of artificial intelligence in China
