图书情报工作

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2025 , Vol. 69 >Issue 3: 64 - 77

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.03.006

研究论文

面向科技文献的多维度学科交叉特性研究——以数字人文领域为例

  • 李慧 ,
  • 刘祝一 ,
  • 王乾宇 ,
  • 王若婷
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  • 西安电子科技大学经济与管理学院 西安 710126
李慧，副教授，博士，硕士生导师，E-mail： lihui@xidian.edu.cn；刘祝一，硕士研究生；王乾宇，硕士研究生；王若婷，硕士研究生。

收稿日期: 2024-01-31

  修回日期: 2024-06-08

  网络出版日期: 2025-02-11

基金资助

本文系陕西省自然科学基础研究计划资助项目“融合多源异构数据的新兴技术发展潜力研究”（项目编号：2023-JC-YB-625）研究成果之一。

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Research on Multi-dimensional Interdisciplinary Characteristics from the Perspective of Literature: A Case Study of Digital Humanities

  • Li Hui ,
  • Liu Zhuyi ,
  • Wang Qianyu ,
  • Wang Ruoting
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  • School of Economic & Management, Xidian University, Xi'an 710126

Received date: 2024-01-31

  Revised date: 2024-06-08

  Online published: 2025-02-11

Supported by

This work is supported by the Natural Science Foundation of Shannxi Province project titled “Study on the Potential Development of Emerging Technologies Based on Integration of Multi-source Heterogeneous Data” (Grant Nos. 2023-JC-YB-625).

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摘要

[目的/意义] 从多维度出发探究不同发展阶段下学科交叉融合的变化过程，有助于丰富学科交叉特性研究方法，挖掘出推动学科交叉融合的核心技术及潜在方法，为交叉学科相关政策制定提供参考。[方法/过程] 采用文献计量与自然语言处理结合的方式，利用多样性、持久性、稳定性和亲和度指标进行粗粒度学科交叉特性分析。同时，自动抽取文献中的技术/方法元素，并将结果映射到学科，识别学科相关研究方法与技术元素，进行细粒度学科交叉特性分析。最后融合粗粒度与细粒度分析，揭示领域内被交叉学科之间的潜在技术对。[结果/结论] 以数字人文领域为例进行实证分析，结果表明面向学科整体的粗粒度以及基于技术/方法元素的细粒度交叉分析方法，能够有效揭示领域内学科的交叉融合情况并识别出推动学科交叉融合的技术方法。通过融合粗细粒度的交叉学科分析结果，有助于发现对交叉学科起推动作用的“主题—技术对”，为研究人员的相关研究工作提供参考。

关键词： 学科交叉特性; 多维度; 数字人文

本文引用格式

李慧 , 刘祝一 , 王乾宇 , 王若婷 . 面向科技文献的多维度学科交叉特性研究——以数字人文领域为例[J]. 图书情报工作, 2025 , 69(3) : 64 -77 . DOI: 10.13266/j.issn.0252-3116.2025.03.006

Abstract

[Purpose/Significance] This study explores the change process of interdisciplinary integration from multiple dimensions under different development stages, which helps to enrich the research methods of interdisciplinary characteristics, dig out the core technologies and potential methods for promoting integration, and provide references for the formulation of interdisciplinary related policies. [Method/Process] This article adopted a combination of bibliometrics and natural language processing for analysis. First, it conducted a coarse-grained analysis of interdisciplinary characteristics using indicators of diversity, persistence, stability, and affinity. Then, it took a fine-grained analysis by automatically extracting technology/method elements and mapping them to their respective disciplines, identifying research methods and technical elements related to disciplines. Finally, it integrated both coarse-grained and fine-grained analyses to reveal potential technology pairs between disciplines in the field. [Result/Conclusion] Taking the digital humanities as an example for empirical analysis, this paper indicates that the coarse-grained disciplinary intersection analysis based on the entire discipline and the fine-grained one based on technical/methodological elements can effectively reveal the cross-disciplinary integration within the field and identify the technical methods that promote such integration. Through integrating the analysis results of cross-disciplinary intersection at both coarse and fine granularities, it is conducive to discovering the “topic-technology pairs” that drive cross-disciplinary research and providing references for researchers’ related studies.

Key words： interdisciplinary characteristics; multi-dimensional analysis; digital humanities

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