摘要
[目的/意义]开源科技数据对科技情报研究的重要性日益突出,如何遴选开源数据获取相关数据是有效实现科技情报分析的基础。[方法/过程]文章基于开源科技数据的特点,提出一种新的文本过滤方法实现数据的遴选,并将此方法应用于具体的科技情报分析需求中,即以人工智能前沿研究为例,面向开源科技数据进行研究。[结果/结论]研究结果表明,此方法具有一定的适用性。
[Purpose/significance]The importance of open source scientific and technological data to scientific and technological information research is increasingly prominent.How to select open source data to obtain relevant data is the basis for effective implementation of scientific and technological information analysis.[Method/process]Based on the characteristics of open source scientific and technological data,this paper proposes a new text filtering method to realize data selection,and applies this method to the specific needs of scientific and technological information analysis,that is,taking the frontier research of artificial intelligence as an example,this paper studies open source scientific and technological data.[Result/conclusion]The results show that this method has certain applicability.
出处
《情报理论与实践》
CSSCI
北大核心
2020年第12期42-45,18,共5页
Information Studies:Theory & Application
基金
国家社会科学基金项目“总体国家安全观视阈下的科技情报服务创新研究”的成果,项目编号:18BTQ054,项目负责人:李辉。
关键词
开源科技数据
遴选方法
方法应用
人工智能
前沿研究
open source scientific and technological data
selection method
method application
artificial intelligence
frontier research
