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| Technology Novelty Assessment Based on Knowledge Reorganization and Variation: Case Study of Digital Medicine |
Yang Siluo1,2,Jiang Man1,2( ),Gao Qiang3 |
1School of Information Management, Wuhan University, Wuhan 430072, China
2Research Center for Chinese Science Evaluation, Wuhan University, Wuhan 430072, China
3College of Cyber Security, Shandong University of Political Science and Law, Jinan 250014, China |
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Abstract [Objective] This paper proposes a technical novelty assessment method based on knowledge reorganization and variation as well as the source and formation mechanism of technological novelty. It addresses the problem of using substitute indicators and ignoring the connotation of novelty in technical novelty assessment. [Methods] First, we analyzed the sources of technological novelty at the micro level, which helps us clarify the internal relationship from knowledge units to knowledge reorganization and from variation to technological novelty. Then, we constructed the technical novelty evaluation indexes at three levels: knowledge source diversity, reorganization novelty, and knowledge variation breakthrough degree around two main lines of knowledge reorganization and variation. Finally, we verified the feasibility and effectiveness of the method with digital medical technology. [Results] We identified the technologies with high novelty and their scores. The recall values of this proposed method were about 23.19%, 5.24%, and 9.69% higher than the commonly used citation, cosine similarity, and knowledge diversity methods. [Limitations] More research is needed to explore categorizing knowledge units under different classification schemes. [Conclusions] Knowledge reorganization and variation are two leading reasons for technology innovation. The proposed method can effectively identify technologies of high novelty.
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Received: 28 October 2022
Published: 22 March 2023
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| Fund:ISTIC-CLARIVATE ANALYTICS Scientometrics Joint Laboratory Open Fund(IT2160) |
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Corresponding Authors:
Jiang Man，ORCID：0000-0003-3721-1226，E-mail：jiangman@whu.edu.cn。
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