摘要
以incoPat全球专利数据库收录的人工智能领域相关专利为数据源,运用专利计量法对专利数据从时间、地域分布和技术分类等方面进行比较分析,得到人工智能主要发展国家或组织在人工智能领域的发展状态、重点技术发展方向,并对人工智能领域专利成果较多的中美日三国的不同专利类型利用Ucinet软件进行关键技术分析,比较3个国家在人工智能领域的重点研究方向和产业应用情况,分析国际人工智能领域的发展趋势,再通过对我国国内人工智能领域专利申请人的技术分布、地域分布等情况进行分析,发现我国国内人工智能领域技术的现状。
In this paper,patents related to artificial intelligence included in incoPat's global patent database are taken as the data source,and the patent measurement method is used to compare and analyze the patent data from the aspects of time,geographical distribution,technology classification,etc.,so as to obtain the development status and key technology development direction of major developing countries or organizations of artificial intelligence in the field of artificial intelligence.And analyze the key technologies of different patent types in China,the United States and Japan,which have more patent achievements in the field of artificial intelligence,and compare the key research directions and industrial applications of three countries in the field of artificial intelligence,so as to analyze the development trend in the field of international artificial intelligence.Through analyzing the technology distribution and geographical distribution of patent applicants in the field of artificial intelligence in China,the paper finds out the current situation of the industry in the field of artificial intelligence in China.
作者
王和勇
古龙
Wang Heyong;Gu Long(Department of E_Business,South China University Of Technology,Guangzhou 510006,China)
出处
《科技管理研究》
CSSCI
北大核心
2020年第21期202-210,共9页
Science and Technology Management Research
基金
广东省自然科学基金项目“基于深度学习的多模态个性化推荐研究”(2019A1515011386)
广东省软科学重点基金项目“广东人工智能产业技术来源分析及发展对策研究”(2019B101001025)
广东省哲学社会科学规划基金项目“人工智能发展的趋势性特征及对策研究”(GD19CGL29)
教育部科技发展中心产学研创新基金项目“大数据相关技术在金融领域的应用”(2019J01001)。
关键词
人工智能
专利计量
社会网络分析
UCINET
artificial intelligence
patent measurement
social network analysis
Ucinet
