基于专利地图的专利战略信息挖掘实证研究——以人工智能技术为例  

Empirical Research on Patent Strategy Information Mining Based on Patent Map:Taking Artificial Intelligence Technology as an Example

作　　者：唐晖岚 文庭孝[1] TANG Hui-lan;WEN Ting-xiao(Information Security and Big Data Institute,Central South University,Changsha 410083,China)

机构地区：[1]中南大学信息安全与大数据研究院,长沙410083

出　　处：《大学图书情报学刊》2019年第1期14-22,38,共10页Journal of Academic Library and Information Science

基　　金：国家社科基金重点项目“面向企业技术创新的专利大数据挖掘与分析研究”(16ATQ008).

摘　　要：文章利用专利信息检索与分析平台Innography,对全球人工智能专利进行全面检索,基于专利地图对技术生命周期、技术竞争力、技术研究热点、核心专利、专利诉讼、专利引证等进行分析,从技术、经济和法律三个方面对专利战略信息进行挖掘。研究了解全球人工智能技术的发展状况,为中国人工智能技术的专利布局和制定专利战略提供参考。With the patent information retrieval and analysis platform Innography,the paper conducts a comprehensive search of global artificial intelligence patents,analyzes technology life cycle,technological competitiveness,technology research hotspots,core patents,patent litigation,and patent citations based on patent maps,and mines the patent strategy information from three aspects:technology,economy and law to understand the development status of global artificial intelligence technology and provide reference for China s artificial intelligence patent layout and strategy making.

关 键 词：专利地图 专利战略 专利布局 专利分析 人工智能 

分 类 号：G353.1[文化科学—情报学]