摘要
在大数据时代,许多网络信息中蕴含着大量颠覆性技术识别所需要的高价值信息,从海量信息中及时捕捉并挖掘相关技术发展弱信号,将会对当前以专家评判、结合结构化数据与文献分析等方法进行的颠覆性技术识别形成有效补充。本文开展了面向颠覆性技术情报采集的信息源研究,从信息组织形式、创新主体参与、科技活动过程三个角度分析了网络中科技信息资源分布情况,归纳了面向颠覆性技术情报采集的网络信息源特点并勾画了信息源分布谱系,制定了适用于网络信息源的评估标准与流程,并基于重点信息源设计了一套专用的情报采集系统,以期为颠覆性技术有效识别提供重要信息来源与数据支撑。
In the era of big data,network information contains a lot of high-value information needed for disruptive tech‐nology identification.At present,the methods for identifying disruptive technologies are mainly expert evaluation and liter‐ature analysis.Mining weak signals of technological development from massive network information will provide effec‐tive data supplement for current methods.This paper analyzes the distribution of scientific and technological information resources in the network from the three perspectives of information organization form,innovation subject participation,and process of scientific activities;it then summarizes the characteristics of web-sources oriented to the collection of dis‐ruptive technology intelligence,establishes the selection framework of web-sources,and formulates the evaluation stan‐dards and procedures applicable to web-sources.Finally,a special intelligence collection system based on key web-sources is designed to provide important data support for the effective identification of disruptive technologies.
作者
李曼迪
苏成
崔怡雯
赵志远
赵筱媛
Li Mandi;Su Cheng;Cui Yiwen;Zhao Zhiyuan;Zhao Xiaoyuan(Institute of Scientific and Technical Information of China,Beijing 100038)
出处
《情报学报》
CSSCI
CSCD
北大核心
2021年第12期1294-1300,共7页
Journal of the China Society for Scientific and Technical Information
基金
国家重点研发计划项目“颠覆性技术感知响应平台研发与应用示范”(2019YFA0707200)
中国科学技术信息研究所创新研究基金面上项目“国外颠覆性技术研发项目管理机制研究”(MS2021-10)。
关键词
信息源
颠覆性技术
网络情报
web-sources
disruptive technology
network intelligence
