首页|基于数据挖掘的前沿技术识别方法与实证研究

基于数据挖掘的前沿技术识别方法与实证研究

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依据前沿技术的前瞻性、先导性、探索性及颠覆性特征,构建基于数据挖掘的前沿技术识别方法,可为高效制定技术发展策略、合理调整技术规划布局提供支撑。首先,以工程索引(engineering index,EI)和德温特创新(Derwent innovation,DI)平台数据库为数据源,制定检索表达式采集数据,并对数据进行预处理。其次,建立表征前沿技术特征的指标体系,并对据此筛选出的技术文本数据进行挖掘,识别前沿技术主题。最后,以量子计算领域为例开展实证研究,识别出量子纠错技术、光量子芯片技术等前沿技术点,经技术专家等验证,表明识别结果科学有效。
Frontier technology identification method and empirical research based on data mining
Based on the forward-looking,pioneering,exploratory,and disruptive characteristics of frontier technologies,a method of frontier technology identification based on data mining is constructed to provide support for efficient formulation of technology development strategies and rational adjustment of technology planning and layout.Firstly,data is collected and processed from the engineering index(EI)and Derwent innovation(DI)platform databases as a data source by formulating retrieval expressions.Secondly,the index system representing the characteristics of frontier technology is established,and the selected technical text data is mined to identify the frontier technology topics.Finally,empirical research is conducted in the field of quantum computing as an example,identifying frontier technology topics such as quantum error correction and optical quantum chips.This verification is confirmed by expert review and other methods,making identifying issues scientifically and practically applicable.

data miningtechnology identificationfrontier technology

苗红、连佳欣、李伟伟、耿国桐、王浩桐、张惠钊、吴菲菲

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北京工业大学经济与管理学院,北京 100124

军事科学院国防科技创新研究院,北京 100071

军事科学院军事科学信息研究中心,北京 100011

数据挖掘 技术识别 前沿技术

2024

系统工程与电子技术
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会

系统工程与电子技术

CSTPCD北大核心
影响因子:0.847
ISSN:1001-506X
年,卷(期):2024.46(9)