摘要
有效地识别新兴技术,对于充分挖掘新兴技术的应用潜力,促进其产出最大的经济效应具有重要意义。本文提出了一种基于CPC专利分类系统的新兴技术识别方法。首先,基于CPC分类系统获取包含新兴技术的相关专利文献,然后采用K-Means聚类算法得到所有新兴技术的技术主题,最后通过短语抽取方法和词频统计方法识别各个技术主题中的新兴技术。本文对美国专利文献进行了实证研究,抽取了“人工智能技术”“大数据相关技术”“半导体制造工艺”等新兴技术,其中绝大多数为近年来具有较高影响力的前沿技术。
Effective identification of emerging technologies is of great significance to fully tap the application potential of emerging technologies and promote their maximum economic effect.This paper presents a new technology identification method based on CPC patent classification system.Firstly,the relevant patent data including emerging technologies are obtained based on the CPC classification system,and then the technical topics of all emerging technologies are obtained by K-means clustering algorithm.Finally,the emerging technologies in each technical topic are identified by phrase extraction method and word frequency statistics method.This paper conducts empirical research on American patent documents,and extracts emerging technologies such as“artificial intelligence technology”,“big data related technology”,and“semiconductor manufacturing process”.The vast majority of these technologies are cutting-edge technologies with high influence in recent years.
作者
马斌
周杨
冯岭
MA Bin;ZHOU Yang;FENG Ling(School of Information Engineering,North China University of Water Resources and Hydropower,Zhengzhou 430072;Research Center for Scientific Measurement and Evaluation,Institute of Science and Technology of China,Beijing 100038)
出处
《中国发明与专利》
2023年第9期13-21,29,共10页
China Invention & Patent
基金
河南省软科学研究计划项目“结合技术属性差异与多指标的颠覆性技术发现方法研究”(编号:222400410445)
河南省知识产权软科学计划项目“基于孪生网络的高质量专利识别方法研究”(编号:20230106038)的研究成果之一。
作者简介
马斌(1979—),男,河南郑州人,博士,副教授,主要研究方向:大数据分析;周杨(1996—),男,河南商丘人,硕士,研究方向:专利分析;通信作者:冯岭(1986—),男,河南郑州人,博士,讲师,研究方向:专利分析与挖掘。
