[Objective] Technical fields that closely related to basic research require radical innovation identification from the content of scientific knowledge cited in patents (SKCP). [Methods] This paper firstly extracts keywords and subject categories of scientific references in patents to represent SKCP, then identifies topics in keywords co-occurrence network and combinations of subject categories, finally proposes the method of topic mutation degree calculation based on keywords and subject categories, to identify technical topics of radical innovation. [Results] In the domain of Nano electronics, Nano circuit is an approved radical innovation. The related topics about this are confirmed using proposed method including Nano wire, carbon nanotubes, computing circuit, and Nano materials and the manufacturing technologies. Moreover, the corresponding combination of subject categories is materials science, chemistry, optics, biology and applied physics. [Limitations] The accuracy of SKCP’s extraction, preprocessing and matching needs to be improved and the generality of method needs to be validated in other areas. [Conclusions] This method is an important improvement and supplement of radical innovation identification based on patent information and could be extended to other technical fields that are closely related to basic research.
张金柱,张晓林. 基于被引科学知识主题突变的突破性创新识别*[J]. 现代图书情报技术, 2016, 32(7-8): 42-50.
Zhang Jinzhu,Zhang Xiaolin. Radical Innovation Identification Based on Topic Mutation of Scientific Knowledge Cited in Patents. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2016.07.06.
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