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| Emerging-Technology Identification Based on Technology Structure-Function Semantic Association |
| Jiang Man1,2, Yang Siluo1,2, Wei Jiaze1 |
1.School of Information Management, Wuhan University, Wuhan 430072
2.Research Center for Chinese Science Evaluation (RCCSE), Wuhan University, Wuhan 430072 |
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Abstract Unearthing the deep semantic information of emerging technologies is crucial for accurately capturing technology development opportunities and enhancing the strategic orientation of emerging technologies. This study focuses on the technological element level, which encompasses the technology structure and function. Initially, a model for extracting technological structure-function elements is constructed. Next, an improved “subject-action-object” method is used to extract the internal semantic structure of the technological elements. Subsequently, a comprehensive multidimensional index is established based on the four attributes of the emerging technology to evaluate its emergence degree. Finally, a multidimensional association diagram is constructed to illustrate the internal and external semantic structures of the emerging technological elements and their semantic associations and trends. Empirical evidence from digital medical technology shows that this method effectively identifies emerging technological structures and functions, as well as reveals their internal and external semantic associations. The results indicate that while new technological structures do not necessarily result in new functions, most new functions depend on innovative structures. This method proficiently reveals the internal and external semantic associations and can present the content of emerging technologies with fine granularity and multiple dimensions.
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Received: 11 July 2024
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