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基于知识元的科学-技术知识关联指标与测度方法研究

唐晓波 陈俭静 周禾深 杜鑫

数字图书馆论坛2024,Vol.20Issue(2):58-69,12.
数字图书馆论坛2024,Vol.20Issue(2):58-69,12.DOI:10.3772/j.issn.1673-2286.2024.02.006

基于知识元的科学-技术知识关联指标与测度方法研究

Indicators and Measurement Method of Science-Technology Knowledge Linkage Based on Knowledge Elements

唐晓波 1陈俭静 2周禾深 2杜鑫2

作者信息

  • 1. 武汉大学信息系统研究中心,武汉 430072||武汉大学信息管理学院,武汉 430072
  • 2. 武汉大学信息管理学院,武汉 430072
  • 折叠

摘要

Abstract

Through the research of science-technology knowledge linkage indicators and measurement method,the interaction between science and technology can be analyzed from a finer granularity level,which lays a foundation for science and technology evaluation.Based on knowledge element theory,this paper proposes science-technology knowledge linkage indicators and measurement method.Taking papers and patents as data sources,based on the extraction of knowledge elements and the co-occurrence of scientific and technological terms in different types of knowledge elements,the indicators of science-technology knowledge linkage are measured.An empirical study is carried out in the field of diabetes.The empirical research results in the field of diabetes show that the science-technology knowledge linkage indicators and measurement method proposed in this paper can play an effective role in the identification of high-quality papers.The research results have significance for improving the evaluation system of science and technology and promoting the implementation of innovation-driven development strategy.

关键词

知识元/知识关联/科学-技术关联/指标/测度方法

Key words

Knowledge Element/Knowledge Correlation/Science-Technology Linkage/Indicator/Measurement Method

分类

社会科学

引用本文复制引用

唐晓波,陈俭静,周禾深,杜鑫..基于知识元的科学-技术知识关联指标与测度方法研究[J].数字图书馆论坛,2024,20(2):58-69,12.

基金项目

本研究得到国家社会科学基金重大项目"基于大数据的科教评价信息云平台构建和智能服务研究"(编号:19ZDA349)资助. (编号:19ZDA349)

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OACSSCICSTPCD

1673-2286

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