Research on the Construction of a Label System for Scientific Research Institutions

Xin Xian (), Chuan Ge, Huiying Yang and Bo Yang
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Xin Xian: The Institute of Scientific and Technical Information of China
Chuan Ge: Shanxi Provincial Center for Science and Technology Intelligence and Strategic Research
Huiying Yang: The Institute of Scientific and Technical Information of China
Bo Yang: Center of Science and Technology Review and Assess

A chapter in Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023), 2024, pp 123-140 from Springer

Abstract: Abstract Research institutions, as the core entities in research activities, constitute a vital component of technological prowess. The intuitive and dynamic revelation of information pertaining to research institutions holds significant implications. Addressing issues such as the uni-dimensional depiction of research institutions, coarse granularity of profile labels, and the lack of a clear hierarchical structure, this study employs research institution attributes and relevant data to construct a comprehensive profile label system across four dimensions: basic attributes, research attributes, domain attributes, and relational attributes. Leveraging LDA topic modeling and social network analysis methods, the study generates model labels for research institutions. Using a specific research institute as an example and drawing on diverse and heterogeneous data from sources such as the official institution website, literature databases, patent databases, project databases, and information media platforms, the feasibility of this approach is validated. The results underscore the stability and scalability of the research institution profile label system.

Keywords: Research Institutions; Label System; Institutional Profile (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-498-3_11

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