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| Mapping of Multilevel Science-Technology Classification Systems in All Fields |
| Xu Shuo1, Zhang Yuefu1, An Xin2 |
1.College of Economics and Management, Beijing University of Technology, Beijing 100124
2.School of Economics and Management, Beijing Forestry University, Beijing 100083 |
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Abstract Innovation is deeply rooted in the creation, flow, and application of knowledge. However, various scientific and technological resource databases differ in their compilation principles and system architectures; this poses challenges in promoting the flow of scientific and technological knowledge and advancing scientific and technological innovation. This study proposes a hierarchical mapping paradigm for science-technology classification systems, aiming to establish multilevel mapping between scientific and technological taxonomies in all fields, thereby promoting unobstructed knowledge flow. Building on this, the study systematically analyzes the effect of scientific non-patent citations from different positions on mapping outcomes. The results reveal extensive knowledge flows between the scientific and technological domains at all levels, with diverse patterns of knowledge exchange in different fields. Scientific fields such as biology, chemistry, computer science, and medicine exhibit the most active knowledge diffusion that primarily converges into IPC sections, including Sections C (Chemistry; Metallurgy), A (Human Necessities), and G (Physics). Moreover, the analysis indicates that classification system mappings based on front-page citations display significant advantages in terms of mapping coverage, intensity, and accuracy of science-technology category mapping relationships, suggesting that citations from distinct positions reflect heterogeneity in purpose, functionality, and target audience.
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Received: 07 October 2024
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