数字图书馆论坛2025，Vol.21Issue(7)：42-53,12.DOI:10.3772/j.issn.1673-2286.2025.07.005
融合专利异质特征的颠覆性技术识别方法研究
Disruptive Technology Identification Method Integrating Patent Heterogeneous Features:A Case Study of Artificial Intelligence Field
摘要
Abstract
Disruptive technologies serve as a crucial driving force behind industrial transformation and technological advancement.Accurately and efficiently identifying such technologies is essential for countries to seize technological opportunities and continuously strengthen national competitiveness.First,we construct quantitative features using patent bibliometric indicators and extract textual features by applying rule-based knowledge unit extraction.Then,we employ a multimodal fusion approach to unify heterogeneous features and use the XGBoost algorithm to achieve classification and identification.Finally,we apply the BERTopic model to extract disruptive technology themes from the identification results.An empirical study conducted in the field of artificial intelligence demonstrates that the proposed recognition method integrating heterogeneous features achieves high accuracy and exhibits excellent practical application effectiveness in this domain.关键词
颠覆性技术/XGBoost/数据融合/技术识别/专利分析/人工智能Key words
Disruptive Technology/XGBoost/Data Fusion/Technology Identification/Patent Analysis/Artificial Intelligence引用本文复制引用
吴洁,刘彦良,谢小东,唐健廷,盛永祥..融合专利异质特征的颠覆性技术识别方法研究[J].数字图书馆论坛,2025,21(7):42-53,12.基金项目
本研究得到江苏省社会科学基金项目"专利转化视角下江苏推动'双高协同'创新发展研究"(编号:25ZHB010)、江苏省研究生科研与实践创新计划项目"融合专利计量指标和文本语义的颠覆性技术识别研究"(编号:KYCX25_4313)资助. （编号:25ZHB010）
