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2026 , Vol. 70 >Issue 13: 31 - 42

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.13.003

研究论文

面向科学实验过程的创新要素实体关联概念模型及应用

  • 林巧 ,
  • 丁南陵 ,
  • 鲜国建 ,
  • 吴俣 ,
  • 孙坦 ,
  • 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 中国农业科学院 北京 100081;
    3 农业农村部农业大数据重点实验室 北京 100081
林巧,副研究员,博士;丁南陵,科研助理,硕士;鲜国建,研究员,博士,博士生导师;吴俣,博士研究生;孙坦,研究馆员,博士,博士生导师;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: 2025-04-28

  修回日期: 2025-08-15

  网络出版日期: 2026-06-23

基金资助

国家社会科学基金项目“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。

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An Entity-Relationship Conceptual Model of Innovation Elements for Scientific Experiment Processes and Its Application

  • Lin Qiao ,
  • Ding Nanling ,
  • Xian Guojian ,
  • Wu Yu ,
  • Sun Tan ,
  • Zhang Xuefu
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  • 1 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081;
    2 Chinese Academy of Agricultural Sciences, Beijing 100081;
    3 Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing 100081
Lin Qiao, Associate Researcher, PhD; Ding Nanling, Research Assistant, Master's Degree; Xian Guojian, Researcher, PhD, Doctoral Supervisor; Wu Yu, Doctoral Candidate; Sun Tan, Researcher, PhD, Doctoral Supervisor; Zhang Xuefu, Researcher, PhD, Doctoral Supervisor, Corresponding Author, E-mail:zhangxuefu@caas.cn.

Received date: 2025-04-28

  Revised date: 2025-08-15

  Online published: 2026-06-23

Supported by

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

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摘要

[目的/意义] 科学实验是科研创新的核心过程，对其中关键要素及其关联关系进行识别与建模，有助于揭示科研创新活动的内在规律。为此，提出一种面向科学实验过程的创新要素实体关联概念模型，以支持科研知识结构化表达与创新路径识别。[方法/过程] 首先分析科学数据驱动的科技创新形成机理，对科学实验的类型与实施流程进行解构，明确科学实验中涉及的科学数据要素与技术创新要素，构建包含5类要素实体与8类实体关联关系的概念模型，并采用五元组结构进行表达；随后以水稻育种为示例领域，结合领域数据库规则与专家知识，构建具体实体与语义关系体系，形成基于概念模型的领域创新路径模型，展示模型的适用性与有效性。[结果/结论] 该模型可细粒度表征科研过程中的关键要素与关系，基于该模型的创新路径能够揭示单类型与多类型创新要素协同驱动的复杂创新过程与规律，为领域实体关系抽取、科学知识图谱构建及科研过程中的创新机会发现奠定基础。

关键词： 科学实验; 创新要素; 实体关联; 关系五元组; 创新路径

本文引用格式

林巧 , 丁南陵 , 鲜国建 , 吴俣 , 孙坦 , 张学福 . 面向科学实验过程的创新要素实体关联概念模型及应用[J]. 图书情报工作, 2026 , 70(13) : 31 -42 . DOI: 10.13266/j.issn.0252-3116.2026.13.003

Abstract

[Purpose/Significance] Scientific experiments are the core process of scientific research and innovation. To identify and model their key elements and relationships will help reveal the inherent laws of research innovation activities. This study proposes an entity-relationship conceptual model of innovation elements for scientific experiment processes, which is conducive to structuring the expression of scientific research knowledge and identifying the innovation paths. [Method/Process] First, this study analyzed the formation mechanism of scientific-data-driven technological innovation and deconstructed the types and implementation processes of scientific experiments. It clarified the scientific data elements and technological innovation elements involved in scientific experiments, and constructed a conceptual model comprising 5 types of element entities and 8 types of entity relationships by using a quintuple structure to express. Then, a specific entities and semantic relationship system was constructed by taking rice breeding as an example, combined with domain database rules and expert knowledge. Therefore, a domain innovation path model based on scientific experimental events was formed to demonstrate the practical application of the model. [Result/Conclusion] This model can characterize the key elements and relationships in the scientific research process in a fine-grained manner. The innovation path based on this model can reveal the innovation process and laws driven by single-type as well as multi-type innovation factors, laying a foundation for the discovery of innovation opportunities from scientific research processes.

Key words： scientific experiment; innovation elements; entity associations; relationship quintuple; innovation pathways

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