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)
[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.
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