摘要
[目的/意义]人工智能作为21世纪国际竞争、经济建设、社会发展的关键领域,分析人工智能跨领域融合模式对于揭示其发展规律具有重要意义。[方法/过程]以德温特专利数据库中人工智能领域专利为数据源,基于技术共现网络分析方法,利用社会网络中间人分析,构建跨领域融合模式识别框架。首先,结合技术领域共现网络识别人工智能技术领域动态演化特征;然后,根据专利IPC4共现网络识别人工智能的跨领域融合模式;最后,揭示跨领域融合模式中重要的技术中介。[结果/结论]研究结果表明,构建的分析框架能够有效地识别跨领域融合模式以及重要技术中介,为我国人工智能战略布局提供一定参考意见。
[Purpose/Significance]Artificial intelligence is the key field of international competition,economic construction and social development in the 21 st century.It is of great significance to analyze the interdisciplinary convergence pattern of artificial intelligence for revealing its development law.[Method/Process]Based on the technology co-occurrence network analysis method and social network brokerage analysis,a cross domain convergence pattern recognition framework was constructed by using the artificial intelligence patents in Derwent patent database as the data source.Firstly,combined with the co-occurrence network of technology domain,the evolution characteristics of artificial intelligence technology domain was identified;Secondly,the cross domain convergence pattern of AI was identified based on the patent IPC4 co-occurrence network;Finally,the important technology intermediaries was revealed in the cross domain convergence pattern.[Result/Conclusion]The results show that the analysis framework can effectively identify cross domain convergence patterns and important technology intermediaries,and can provide some reference for the strategic layout of AI in China.
作者
陈钰芬
王科平
Chen Yufen;Wang Keping(School of Statistics and Mathematics,Zhejiang Gongshang University,Hangzhou 310018)
出处
《情报杂志》
CSSCI
北大核心
2021年第7期8-15,29,共9页
Journal of Intelligence
基金
教育部人文社会科学规划基金项目“企业创新生态系统的作用机理、动态演化与管理决策”(编号:16YJA630004)
国家自然科学基金项目“企业创新生态系统的异质性主体交互、演进及管理决策”(编号:71672178)
浙江省重点建设高校优势特色学科(浙江工商大学统计学)资助。
关键词
技术共现网络
人工智能
跨领域融合
专利共现分析
中间人分析
technology co-occurrence network
artificial intelligence
cross domain convergence
patent co-occurrence analysis
brokerage analysis
