摘要
人才是国力强盛最重要的战略资源,如何从各类数据资源中挖掘人才、专家已成为各国科技发展的一个重要课题。利用人工智能技术,通过扩充检索关键词、判别专利领域、评价专利和创新人才等3个步骤对专利数据进行挖掘,以人工智能领域、脑科学与神经科学领域的创新人才挖掘结果为例,对挖掘结果的可视化和宏观分析揭示利用人工智能与专利数据挖掘创新人才的可行性和有用性。
Talent is the most important strategic resource for strengthening the national power. How to mine talents and experts from all kinds of data resources has become an important topic for the development of science and technology in various countries. This paper uses the artificial intelligence(AI) technology to mine the patent data through the three processes of expanding search keywords, judging technical fields, evaluating pieces of patent and talents. Then it takes the results of mining innovative talents in artificial intelligence, brain science and neuroscience field as an example to reveal the feasibility and usefulness of using the AI and patent data mining for innovative talents through the visualization and macro analysis of mining results.
作者
胡寅骏
王茜
徐旻昕
刘晋元
HU Yinjun;WANG Qian;XU Minxin;LIU Jinyuan(Shanghai R&D Public Service Platform,Shanghai 200235;Shanghai Science and Technology Development Co.Ltd,Shanghai 200235)
出处
《中国科技资源导刊》
2020年第3期63-70,共8页
China Science & Technology Resources Review
关键词
人工智能
专利
自然语言处理
数据挖掘
人才挖掘
artificial intelligence
patent
natural language processing
data mining
talent mining