Research on the Construction of a Label System for Scientific Research Institutions
- DOI
- 10.2991/978-94-6463-498-3_11How to use a DOI?
- Keywords
- Research Institutions; Label System; Institutional Profile
- 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.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xin Xian AU - Chuan Ge AU - Huiying Yang AU - Bo Yang PY - 2024 DA - 2024/08/22 TI - Research on the Construction of a Label System for Scientific Research Institutions BT - Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023) PB - Atlantis Press SP - 123 EP - 140 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-498-3_11 DO - 10.2991/978-94-6463-498-3_11 ID - Xian2024 ER -