| 国内人工智能研究的知识图谱分析 |
| |
| 引用本文： | 徐延民,李德明.国内人工智能研究的知识图谱分析[J].科技管理研究,2021,41(5):112-119. |
| |
| 作者姓名： | 徐延民 李德明 |
| |
| 作者单位： | 上海财经大学人文学院,上海 200433;肇庆学院科技处,广东肇庆 526000 |
| |
| 基金项目： | 上海财经大学研究生创新资助项目“人工智能的发展空间研究—资本逻辑视域下的智能时代”(CXJJ-2019-389);湖南省研究生科研创新项目(CX2018B234)智能时代的青少年信息价值观引领--以道德算法为路径 |
| |
| 摘 要： | 为全面分析国内人工智能的研究现状和研究热点,运用Vosviewer与Citespace软件对CNKI数据库中1992-2020年国内人工智能研究的相关文献进行可视化分析,绘制作者共现图谱、关键词共现标签视图、关键词时区图谱.在此基础,对人工智能在过去二十多年间的研究主题演化、内容分支、跨学科融合等问题进行介绍;换言之,我国人工智能研究正经历着从工程技术领域向人文社会领域的融合发展,从单一智能技术向智能应用社会化的"泛智"发展;打破学科知识藩篱,"智能+"时代的人工智能将会带来持续性涌现的创新发展模式以及颠覆性认知.
|
| 关 键 词： | 人工智能 知识图谱 科学计量 |
| 收稿时间： | 2020/7/28 0:00:00 |
| 修稿时间： | 2020/8/14 0:00:00 |
Analysis of the knowledge map of domestic artificial intelligence research |
| |
| Xu Yanmin,Li Deming.Analysis of the knowledge map of domestic artificial intelligence research[J].Science and Technology Management Research,2021,41(5):112-119. |
| |
| Authors: | Xu Yanmin Li Deming |
| |
| Abstract: | In order to comprehensively analyze the research status and hotspots of domestic artificial intelligence, this paper visually analyzes the relevant literature of domestic artificial intelligence from 1992 to 2020 in CNKI database by using Vosviewer and Citespace software, and draws the author co-occurrence map, keyword co-occurrence tag view and keyword time zone map. On this basis, the author introduces the evolution of artificial intelligence research topics, content branches, interdisciplinary integration and other issues in the past two decades; in other words, the research of artificial intelligence in China is experiencing the development of integration from the field of engineering technology to the field of humanities and society, and the "pan-intelligence" development from single intelligent technology to the socialization of intelligent applications. Artificial intelligence in the "intelligence +" era will bring about a continuous emergence of innovative development models and subversive cognition, promoting the interdisciplinary integration of artificial intelligence to provide development space for shaping more responsible artificial intelligence. |
| |
| Keywords: | artificial intelligence mapping knowledge domain scientometrics |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《科技管理研究》浏览原始摘要信息 |
| 点击此处可从《科技管理研究》下载免费的PDF全文 |
|
