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| Profiling Attribution on the Label of Scientific Research Institutions Based on the Ontology Model |
| Guo Hongmei, Zeng Jianxun |
| Institute of Science and Technical Information of China, Beijing 100038 |
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Abstract Scientific research institutions are important objects of scientific research management and evaluation as well as important units of resource organization. With the development of Chinese science and technology, scientific research outputs have increased exponentially while scientific research activities have attained a wide range and diverse forms. Appropriately determining the characteristics of scientific research institutions from the massive scientific research results and identifying the related institutions from complex social networks have always been a concern of the scientific research community. Institutional profiling can help in understanding the institution, assisting scientific research planning and management decision-making, and identifying future partners and competitors. The study aimed to profile and identify the attributes and related institutions of scientific research institutions based on the ontology model. It selected the subject category and industry category attributions to discuss the process of labeling the attributes of scientific research institutions. Further, it selected cooperative and benchmarking institutions to discuss the process of identifying closely related institutions in the intricate network.
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Received: 01 April 2021
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