| 融合新兴领域知识融合过程研究——以生物信息领域为例 |
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| 引用本文： | 周源,董放,刘宇飞.融合新兴领域知识融合过程研究——以生物信息领域为例[J].图书情报工作,2019,63(8):127-134. |
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| 作者姓名： | 周源 董放 刘宇飞 |
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| 作者单位： | 1. 清华大学公共管理学院, 北京 100084;
2. 中国工程院战略咨询中心, 北京 100088 |
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| 基金项目： | 本文系国家自然科学基金项目"支持技术预见的多源异构大数据融合与时序文本预测方法研究"（项目编号：91646102）和国家自然科学基金项目"面向2035的中国工程科技发展路线图绘制理论与方法研究"（项目编号：L1624045）研究成果之一。 |
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| 摘 要： | 目的/意义]技术融合是新兴产业形成和发展的驱动力,而知识融合是技术融合的前提,对知识融合过程进行研究,对于引导新兴产业形成和发展具有重要意义。方法/过程]首先根据现有的研究构建一个采用论文引用网络表征知识融合过程的理论模型,其次根据知识融合过程每个阶段论文引用网络的特征设计验证方法,最后以融合新兴生物信息领域为例进行实证分析。结果/结论]生物信息领域的实证分析结果表明理论模型的有效性,可为研究知识融合过程提供一种新的方法。
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| 关 键 词： | 知识融合 知识流动 引用网络 新兴领域 |
| 收稿时间： | 2018-06-11 |
Research on the Process of Knowledge Fusion in Emerging Fields:A Case Study of Bioinformatics |
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| Yuan Zhou,Fang Dong,Yufei Liu.Research on the Process of Knowledge Fusion in Emerging Fields:A Case Study of Bioinformatics[J].Library and Information Service,2019,63(8):127-134. |
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| Authors: | Yuan Zhou Fang Dong Yufei Liu |
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| Institution: | 1. Tsinghua University, School of Public Policy and Management, Beijing 100084;
2. Chinese Academy of Engineering, The CAE Center for Strategic Studies, Beijing 100088 |
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| Abstract: | Purpose/significance] Technology fusion is the driving force of new industries' formation and development. While the knowledge fusion is the prerequisite of technology convergence, it is of great significance in guiding the formation and development of new industries.Method/process] Firstly, this paper built a theoretical model which using the citation network to characterize the knowledge fusion process based on the existing research. Then, based on the characteristics of paper citation network in each stage of knowledge fusion, the paper introduced a verification method. Finally, it conducted an empirical analysis in the field of bio-information technology.Result/conclusion] The results of empirical analysis in the field of biological information show the validity of the theoretical model. Therefore, It can be deemed as a new method on studying the knowledge fusion. |
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| Keywords: | knowledge fusion knowledge flow citation network emerging field |
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