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数据分析与知识发现  2019, Vol. 3 Issue (5): 57-67    DOI: 10.11925/infotech.2096-3467.2018.1379
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于多维政策实体及其关系的科技政策演化路径揭示方法研究*
刘建华1(),张智雄2,3,4,张琴5
1(北京万方数据股份有限公司 北京 100036)
2(中国科学院文献情报中心 北京 100190)
3(中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190)
4(中国科学院武汉文献情报中心 武汉 430071)
5(神州数码医疗科技股份有限公司 北京 100080)
Revealing Sci-Tech Policy Evolution with Entity Relationship
Jianhua Liu1(),Zhixiong Zhang2,3,4,Qin Zhang5
1(Beijing WanFang Data Co., Ltd, Beijing 100036, China)
2(National Science Library, Chinese Academy of Sciences, Beijing 100190, China)
3(Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)
4(Wuhan Library, Chinese Academy of Sciences, Wuhan 430071, China)
5(Digital China Health Technologies Co., Ltd, Beijing 100080, China)
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摘要 

【目的】利用科技政策推进中产生的各类文件中的知识内容来揭示政策的演化关系。【方法】基于政策文本中多维政策实体及实体之间的多种关系, 构建从直接语义关系、直接共现关系、间接共现关系、关联路径衰减指数4个维度综合计算科技政策实体关联的多指标模型, 结合实体时间属性, 揭示科技政策演化路径。【结果】揭示了实验议题相关的科技政策举措多条发展路径, 以及特定实体的前序、后继发展路径。通过人工比对, 阈值大于0.5时实验集中发现的政策路径有80%真实存在。【局限】此方法的计算结果依靠人工比对和专家判读, 目前无法提供更有效的定量验证方法。同时, 验证的数据集合较小。【结论】本文探索了基于科技政策文本自动揭示科技政策演化的思路, 拓展科技政策分析的深度, 丰富科技政策演化研究的角度。

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刘建华
张智雄
张琴
关键词 科技政策演化科技政策实体演化路径    
Abstract

[Objective] The paper tries to describe the evolutionary path of science and technology (S&T) policies using knowledge from documents generated in policy promotion. [Methods] We proposed a multi-index model with direct semantic relationship, direct co-occurrence relationship, in-direct co-occurrence relationship and link path attenuation index. The S&T policy entities and their relationships used in the proposed model were extracted from the policy texts. We described the S&T policy evolution paths along with time properties and then analyzed the structural features of policy entities and their relationship. [Results] We found the evolution paths of these policies at different stages, and 80% of the retrieved paths were existing in the real world. [Limitations] The proposed model relies on human comparison and interpretation. Besides, the sample size needs to be expanded. [Conclusions] This study reveals the evolutionary path of S&T policies based on related records. It expands the scope and depth of S&T policy analysis research.

Key wordsSci-Tech Policy Evolution    Sci-Tech Policy Entities    Evolutionary Path
收稿日期: 2018-12-05     
基金资助:*本文系中国科学院文献情报能力建设专项“科技监测、科研评估云服务平台优化、推广及服务”(项目编号: 院-1756)的研究成果之一
引用本文:   
刘建华,张智雄,张琴. 基于多维政策实体及其关系的科技政策演化路径揭示方法研究*[J]. 数据分析与知识发现, 2019, 3(5): 57-67.
Jianhua Liu,Zhixiong Zhang,Qin Zhang. Revealing Sci-Tech Policy Evolution with Entity Relationship. Data Analysis and Knowledge Discovery, DOI:10.11925/infotech.2096-3467.2018.1379.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.1379
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