情报科学 ›› 2022, Vol. 40 ›› Issue (10): 20-25.

• 理论研究 • 上一篇    下一篇

基于耦合关系的学科知识交叉建构研究 

  

  • 出版日期:2022-10-01 发布日期:2022-10-01

  • Online:2022-10-01 Published:2022-10-01

摘要: 【目的/意义】以波普尔和赵红洲的相关理论为出发点,构建了学科知识结构与知识交叉的理论基础,并在
此基础上提出利用作者间存在着的耦合关系来探测学科间潜在的知识联系,以弥补现有基于参考文献的学科知识
结构与知识交叉研究方法上存在的不足之处。【方法
/过程】构建了学科知识结构测度模型和实现路径,并通过验证
性分析表明本文的方法可以显著改善现有方法的不足。【结果
/结论】本文方法既可以补充提供学科间潜在的知识
交流信息,也能更加精细地反映出学科间的知识联系。并指出本文的方法与现有基于参考文献的分析方法相结合
是下一步研究的方向。【创新
/局限】本文方法可以在很大程度上揭示出单纯利用参考文献学科属性所无法揭示出
的、学科间的、潜在的知识联系,从而有助于构建出信息更加完整的学科间知识交叉情况。本文的不足之处在于案
例分析相对比较粗糙,在细节上还有待完善,在数据分析结果可视化方面还有待加强。

Abstract: Purpose/significanceBecause of weakness existed in studying knowledge structure and knowledge exchanging between subjects by references belonging to different disciplines,based on the theories of popper and ZHAO Hong-zhou,this paper constructs the theoretical basis of subject knowledge structure and knowledge crossover, and proposes to use the coupling relationship between authors to explore the potential knowledge connection between subjects,so as to make up for the shortcomings of the existing methods.Method/processThe disciplinary knowledge structure measurement model and realization path are constructed,and the confirmatory analysis shows that the proposed method can significantly improve the weakness of the existing methods.Result/conclusionThe pro‐posed method can not only supplement the potential knowledge exchange information between disciplines,but also reflect the knowl‐
edge connection between disciplines more precisely. It is pointed out that the combination of the method in this paper and the existing analysis method based on reference is the direction of further research.
Innovation/limitationThe method presented in this paper can reveal to a large extent the potential knowledge connections between disciplines that can't be revealed simply by using the subject attributes of references,thus helping to construct a more complete knowledge cross situation between disciplines. The shortcomings of this paper are that the case analysis is relatively rough,the details are still to be improved,and the visualization of data analysis results is still to be strengthened.