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《中国工程科学》 >> 2020年 第22卷 第2期 doi: 10.15302/J-SSCAE-2020.02.016

战略性新兴产业多领域知识融合路径研究——基于引用网络和文本信息的分析

1. 中国工程院战略咨询中心,北京 100088;

2. 清华大学公共管理学院,北京 100084;

3. 华中科技大学机械科学与工程学院,武汉 430074;

4. 北京邮电大学现代邮政学院,北京 100876

资助项目 :中国工程院咨询项目“新兴产业发展战略研究( 2035)” (2018-ZD-12); 国家自然科学基金 (91646102,71974107,L1824039) 收稿日期: 2019-12-10 修回日期: 2019-12-30 发布日期: 2020-04-03

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摘要

针对战略性新兴产业开展技术融合过程分析,有助于深入理解产业技术的产生过程和发展规律,从而捕捉领域发展动向、推动产业健康发展。本文针对战略性新兴产业中呈现融合发展趋势且备受社会关注的高端装备制造、新一代信息技术、新医药、新能源4个技术领域进行多案例研究,以期识别出技术融合发展的路径和程度。采用基于引用网络和文本信息的知识融合路径分析方法,使用图神经网络同时将论文的引用网络、标题和摘要信息编码为向量;分析4个技术领域的论文数据,识别出了 5 条技术融合路径。研究结果表明,信息技术与数控设备技术、生物医药与太阳能光伏技术均呈现深度融合的趋势,且前者的融合程度更为深入;数控设备与太阳能光伏技术、信息技术与太阳能光伏技术也呈现融合趋势,但限于发展时间较短而显融合程度较浅;数控设备与生物医药技术领域尚未呈现融合发展的趋势。

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