首页|跨学科"技术—主题"创新组合识别——以人工智能技术驱动图情领域创新为例

跨学科"技术—主题"创新组合识别——以人工智能技术驱动图情领域创新为例

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[目的/意义]前沿技术的跨学科应用是科技创新的重要方式,识别学术文献中潜在的跨学科"技术—主题"创新组合,有助于发现驱动目标学科领域发展的创新机会,助力我国抢占科技创新制高点.[方法/过程]基于组合创新思想与学术论文大数据构建跨学科"技术—主题"创新组合识别框架,首先基于主题模型和词向量模型构建跨学科"技术—主题"组合适配度指标,通过借鉴其他学科领域对前沿技术的应用来评估目标学科领域主题与前沿技术搭配的合理性;其次基于前沿技术与目标学科领域主题的共现分析构建跨学科"技术—主题"组合新颖性指标,筛去新颖性不足的"技术—主题"组合,即可得到适配且新颖的跨学科"技术—主题"创新组合.[结果/结论]根据构建的框架探索人工智能技术在图情领域学术研究中的创新应用,共识别出14个适配且新颖的跨学科"人工智能技术—图情领域主题"创新组合.结果表明该框架识别跨学科"技术—主题"创新组合的有效性,可为各学科领域的科技创新提供前瞻性指引.
Identification of Interdisciplinary"Technology-Topic"Innovation Combinations:Take Artificial Intelligence Technology Driving the Innovation in LIS as An Example
[Purpose/Significance]The interdisciplinary application of frontier technology is an important way of scientific and technology innovation.Identifying potential interdisciplinary"technology-topic"innovation com-binations in academic literature helps to find the innovation opportunities that drive the development of target dis-ciplinary field,and to seize the commanding heights of scientific and technological innovation.[Method/Process]Based on the idea of combination innovation and the big data of academic papers,it designed the identification framework of interdisciplinary"technology-topic"innovation combinations.First,it formed the fit index of inter-disciplinary"technology-topic"combination based on the topic model and word vector model,which evaluated the rationality of combining target discipline field with the frontier technology by referring to the application of frontier technology in other disciplinary fields.Then,through the co-occurrence analysis of frontier technology and target discipline field topic,it constructed the novelty index of interdisciplinary"technology-topic"combination to re-move the"technology-topic"combination with insufficient novelty,so as to obtain the fit and novel interdisciplinary"technology-topic"innovation combinations.[Result/Conclusion]This paper explores the innovative applications of artificial intelligence technology in the academic research of library and information science(LIS),and identi-fies 14 fit and novel interdisciplinary"artificial intelligence technology-LIS topic"innovation combinations.The results show that the framework of this paper is effective in identifying interdisciplinary"technology-topic"inno-vation combinations,and can provide forward-looking guidance for scientific and technology innovation in various discipline fields.

interdisciplinary knowledgetechnology-drivencombination innovation

陆泉、秦雨萱、陈静

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武汉大学信息资源研究中心 武汉 430072

武汉大学大数据研究院 武汉 430072

华中师范大学信息管理学院 武汉 430079

跨学科知识 技术驱动 组合创新

国家社会科学基金重点项目

20ATQ008

2024

图书情报工作
中国科学院文献情报中心

图书情报工作

CSTPCDCSSCICHSSCD北大核心
影响因子:2.203
ISSN:0252-3116
年,卷(期):2024.68(2)
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