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| AI for Science Revolution: The “Platform Research” Paradigm from the Perspective of Knowledge Services for Innovation |
| Mao Jin1,2, Zhou Fanqian1, Wang Zhuohao3 |
1.School of Information Management, Wuhan University, Wuhan 430072
2.Center for Studies of Information Resources, Wuhan University, Wuhan 430072
3.Institute of Scientific and Technical Information of China, Beijing 100038 |
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Abstract Based on the scientific and technological intelligence knowledge service perspective, this paper outlines the connotation and framework of the “Platform Research” paradigm promoted by AI for Science (AI4S). According to Kuhn's paradigm theory, we discuss the inevitability of AI4S to promote innovation of the research paradigm; summarize the scientific research process using Bacon's inductive method as a framework; and elucidate the reciprocal and co-evolutionary relationship between knowledge service for innovation and the “Platform Research” paradigm as a theoretical guide. To support research and innovation activities, the main contents of the paradigm include scientific data management from the perspective of knowledge representation, universal knowledge base from the perspective of knowledge fusion, scientific hypothesis prediction from the perspective of knowledge inference, scientific experiment execution from the perspective of knowledge discovery, and industrial empowerment from the perspective of knowledge application. A framework of the paradigm from the perspective of knowledge service is proposed, which clarifies the core research content of innovative knowledge services in various key stages, and aims to become a growth point in the field of scientific and technical information research. This article provides a reference for China to seize the opportunity for research paradigm innovation.
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Received: 14 March 2024
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