图书情报工作 ›› 2017, Vol. 61 ›› Issue (12): 14-20.DOI: 10.13266/j.issn.0252-3116.2017.12.002

• 专题:学科知识结构揭示理论范式及实证研究 • 上一篇    下一篇

学科知识结构揭示流程与方法探究

郑晓月, 牟冬梅, 琚沅红, 赵丹宁, 王萍, 戴文浩   

  1. 吉林大学公共卫生学院医学信息学系 长春 130021
  • 收稿日期:2017-02-20 修回日期:2017-05-10 出版日期:2017-06-20 发布日期:2017-06-20
  • 通讯作者: 牟冬梅(ORCID:0000-0003-0237-034x),教授,博士生导师,博士,通讯作者,E-mail:moudm@jlu.edu.cn
  • 作者简介:郑晓月(ORCID:0000-0002-7920-4414),硕士研究生;琚沅红(ORCID:0000-0002-9146-4788),硕士研究生;赵丹宁(ORCID:0000-0002-1724-7566),博士研究生;王萍(ORCID:0000-0002-1859-0710),硕士研究生;戴文浩(ORCID:0000-0002-5796-1342),硕士研究生。
  • 基金资助:
    本文系国家自然科学基金项目"嵌入式知识服务驱动下的领域多维知识库构建"(项目编号:71573102)研究成果之一。

Process Revelation and Method Exploration of Discipline Knowledge Structure

Zheng Xiaoyue, Mu Dongmei, Ju Yuanhong, Zhao Danning, Wang Ping, Dai Wenhao   

  1. Department of Medical Informatics, School of Public Health, Jilin University, Changchun 130021
  • Received:2017-02-20 Revised:2017-05-10 Online:2017-06-20 Published:2017-06-20

摘要: [目的/意义] 规范学科知识结构揭示的流程,为知识结构的实证研究提供可借鉴的研究范式,尝试促进揭示学科知识结构研究范式的理论体系的完善。[方法/过程] 在理论模型指导下,交叉融合四大模块: "三计学"(文献计量学、科学计量学和信息计量学)基础模块、社会网络分析支撑模块、知识结构牵引模块、知识图谱输出模块,根据知识结构的高、中、低三个不同层级,针对性地探讨揭示不同层级知识结构的方法流程。[结果/结论] 最终提出学科领域数据准备、知识结构凝练、知识结构解读为基础步骤的学科知识结构揭示流程。

关键词: 知识结构, 揭示流程, 社会网络分析

Abstract: [Purpose/significance] This paper aims to standardize the process of revealing the discipline knowledge structure, provide a reference research paradigm for the empirical study of the knowledge structure. It tries to promote the theoretical system of the research paradigm of discipline knowledge structure. [Method/process] Based on theoretical model, four modules were integrated and fused:three metrics (bibliometrics, scientometrics and informetrics)basic module, social network analysis support module, knowledge structure module and knowledge map output module. According to the knowledge structure of high, medium and low levels, this paper revealed the different levels of the knowledge structure of the method process. [Result/conclusion] Finally, this paper put forward three fundamental steps:discipline or fields data preparation, knowledge structure conciseness and knowledge structure interpretation.

Key words: knowledge structure, process revelation, social network analysis

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