情报研究

技术创新要素及其关联识别方法研究——以合成生物学为例

  • 邬金鸣 ,
  • 姚茹 ,
  • 吴俣 ,
  • 林巧 ,
  • 张学福
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  • 1 中国农业科学院农业信息研究所 北京 100081;
    2 北京市农林科学院数据科学与农业经济研究所 北京 100097
邬金鸣,博士研究生;姚茹,助理研究员,博士;吴俣,博士研究生;林巧,副研究员;张学福,研究员,博士,博士生导师,通信作者,E-mail:zhangxuefu@caas.cn。

收稿日期: 2023-11-30

  修回日期: 2024-05-08

  网络出版日期: 2024-09-12

基金资助

本文系2023年国家社会科学基金年度项目“前沿交叉领域融合创新路径识别方法研究”(项目编号:23BTQ054)研究成果之一。

Research on Identification Methods of Technological Innovation Elements and Their Associations: A Case Study on Synthetic Biology*

  • Wu Jinming ,
  • Yao Ru ,
  • Wu Yu ,
  • Lin Qiao ,
  • Zhang Xuefu
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  • 1 Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081;
    2 Institute of Data Science and Agricultural Economics, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097

Received date: 2023-11-30

  Revised date: 2024-05-08

  Online published: 2024-09-12

Supported by

This work is supported by the project of National Social Science Fund of China titled “Research on the Identification Method of Fusion Innovation Paths in Frontier Interdisciplinary Fields” (Grant No. 23BTQ054).

摘要

[目的/意义] 技术创新是一项涉及多种技术创新要素协同作用的复杂系统工程。从技术文本中识别出技术创新要素及其关联,进而分析要素及其关联随时间的动态变化以及要素的跨领域相互作用等,可在微观层面揭示技术创新过程与规律,为预测融合创新机会奠定基础。其中首要问题是如何从技术文本中识别出技术创新要素及其关联。[方法/过程] 为解决识别对象的问题,在先前研究中构建面向技术创新过程表征和描述的要素关联概念模型;为解决识别方法的问题,以合成生物学领域为例,面向概念模型中要素及其关联的文本特征,构建以专利为主、论文为辅,综合文本内容挖掘和引用分析的技术创新要素及其关联识别方法,以揭示技术创新过程中来源于相同或不同领域的技术创新要素之间相互作用、不同技术创新要素在不同技术创新事件中作用等。[结果/结论] 在6 435篇专利及其参考论文中,识别7 633个技术对象要素、3 420个技术方法要素、3 919个技术应用要素、5 393个技术理论要素及其领域、时间属性信息,以及25 647条6种不同要素关联。该方法可以为基于要素关联揭示技术创新过程和规律(特别是交叉融合领域技术创新过程与规律)、进而预测融合创新机会奠定基础。

本文引用格式

邬金鸣 , 姚茹 , 吴俣 , 林巧 , 张学福 . 技术创新要素及其关联识别方法研究——以合成生物学为例[J]. 图书情报工作, 2024 , 68(17) : 68 -83 . DOI: 10.13266/j.issn.0252-3116.2024.17.006

Abstract

[Purpose/Significance] Technological innovation can be regarded as a complex systematic project involving the synergistic effect of multiple technological innovation elements. Extracting technological innovation elements and their associations from technical texts, analyzing their temporal dynamic changes and cross-domain interactions can reveal the process and law of technological innovation at the micro level, and then predict innovation opportunities. One of the key issues is how to identify technological innovation elements and their associations from technical texts. Specifically, this includes what technological innovation elements and their associations are to be identified and what methods are used for identification. [Method/Process] In order to solve the problem of object identification, the authors previously constructed a conceptual model of elemental associations oriented to the description of the technological innovation process. In order to solve the problem of identification method, this paper took the field of synthetic biology as an example, oriented to the text features of the elements and their associations in the conceptual model, and proposed a method for identifying the technological innovation elements and their associations. Based on patents and supplemented by papers, the method synthesized by textual content mining and citation analysis. which It revealed the interactions between technological innovation elements originated from the same or different fields in the technological innovation process, as well as the role of different technological innovation elements in different technological innovation events. [Result/Conclusion] Applying the identification framework to the field of synthetic biology, it identifies 7 633 technical object elements, 3 420 technical method elements, 3 919 technical application elements, 5 393 technical theory elements and their domain and time attributes, as well as 25 647 associative relationships of six different elements in 6 435 patents and their associated papers. This method can lay the foundation for revealing the process of technological innovation based on elemental correlation, analyzing the process and law of technological innovation in frontier cross-cutting fields, and predicting the opportunities of convergent innovation.

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