情报杂志2025，Vol.44Issue(10)：136-143,8.DOI:10.3969/j.issn.1002-1965.2025.10.017
基于IPC及术语多视角融合分析的技术融合态势研究
Research on the Technology Fusion Situation Based on IPC and Terminology Multi-Perspective Fusion Analysis
摘要
Abstract
[Research purpose]Technology fusion is a crucial strategy for industries aiming to dismantle barriers in technological knowl-edge,explore avenues for technological advancement,and achieve significant breakthroughs.This study seeks to observe the intersection and evolution of various technological fields during industrial development and to construct a technology fusion situation analysis method for multi-perspective fusion mining of patent information.[Research method]Firstly,the target patent dataset undergoes classification through IPC co-occurrence network clustering.Subsequently,professional technical terminology is extracted from patent texts using a BERT-BIGRU-CRF deep learning model,while the Apriori algorithm facilitates the construction of terminology itemsets for technology fusion identification.The final stage involves evaluating technology integration through a dual-dimensional analysis,examining both its strength and breadth.[Research result/conclusion]To validate this methodological framework,an empirical study was conducted in the biochip domain.This study founded on precise identification of patent technology elements and hierarchical multi-perspective analysis,not only demonstrated the method's effectiveness,but also elucidated the technological integration and development trends within the biochip field,thereby providing valuable insights for future technological advancement.关键词
技术融合/技术术语识别/深度学习/Apriori算法/生物芯片/专利分析Key words
technology integration/technical term recognition/deep learning/apriori algorithm/biochip/patent analysis分类
社会科学引用本文复制引用
李丹,张文惠,汪满容..基于IPC及术语多视角融合分析的技术融合态势研究[J].情报杂志,2025,44(10):136-143,8.基金项目
国家重点研发计划课题"创新创业生态模型与智能服务模式研究"(编号:2019YFB1405201)研究成果. （编号:2019YFB1405201）
