技术机会发现领域专利挖掘方法研究述评

doi:10.3772/j.issn.1000-0135.2023.10.009

情报学报

2023, Vol. 42

Issue (10): 1238-1250 DOI: 10.3772/j.issn.1000-0135.2023.10.009

情报综述与述评

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技术机会发现领域专利挖掘方法研究述评

韦婷婷, 冯丹钰, 宋世领, 张建桃

华南农业大学数学与信息学院，广州 510642

Review of Patent Mining Methods in Technology Opportunity Discovery

Wei Tingting, Feng Danyu, Song Shiling, Zhang Jiantao

College of Mathematical Sciences and Information, South China Agricultural University, Guangzhou 510642

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摘要在新一轮科技革命背景下，技术机会发现相关研究已受到国内外学界的广泛关注。技术机会发现旨在发现新的技术动向，推测该领域可能出现的技术形态或技术发展点，对于技术创新、产业发展具有重要意义。本文系统梳理了专利挖掘方法在技术机会发现中的应用研究现状，总结了5种底层共性分析方法的代表性研究，厘清分析方法与研究内容的适配关系，为该领域开展后续相关研究和实践的技术选型提供参考依据。研究结果表明，技术机会发现所采用的方法手段虽然一直跟进深度学习的发展，但是尚未针对性地进行方法应用上的创新。最后，本文从数据、方法应用和评价体系3个角度提出了改进思路。

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	韦婷婷
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关键词 ：技术机会发现, 专利挖掘, 深度学习, 自然语言处理

收稿日期: 2022-09-17

基金资助:教育部人文社会科学研究一般项目“融合知识库与语料库的汉语词义消歧研究”（20YJC740067）；广东省基础与应用基础区域联合基金“基于专利知识图谱的技术创新路径分析研究”（2019A1515110396）。

作者简介: 韦婷婷，女，1986年生，博士，讲师，硕士生导师，研究方向为专利挖掘；冯丹钰，女，1997年生，硕士，研究方向为专利挖掘；宋世领，男，1987年生，博士，讲师，硕士生导师，研究方向为管理决策；张建桃，通信作者，男，1978年生，博士，副教授，硕士生导师，研究方向为文本挖掘，E-mail：zhangjiantao@yeah.net；

引用本文:

韦婷婷, 冯丹钰, 宋世领, 张建桃. 技术机会发现领域专利挖掘方法研究述评[J]. 情报学报, 2023, 42(10): 1238-1250.
Wei Tingting, Feng Danyu, Song Shiling, Zhang Jiantao. Review of Patent Mining Methods in Technology Opportunity Discovery. 情报学报, 2023, 42(10): 1238-1250.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2023.10.009 或 https://qbxb.istic.ac.cn/CN/Y2023/V42/I10/1238

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