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数字人文研究领域的知识图谱构建与分析——基于WoS文献关键词和引文上下文的实证 被引量:7

Knowledge Network in the Digital Humanities Domain ——Based on the Analysis of Keywords and Citation Contexts in WoS
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摘要 [目的/意义]引文是施引文献与被引成果的纽带,反映了后继者的借鉴和肯定。本研究在传统题录关键词网络的基础上,创新地将引文上下文关键词作为研究材料,所构建知识图谱不仅能揭示文献主题的深层次信息,也能够反映受众主观筛选和利用文献的知识过程。[方法/过程]选取数字人文为研究领域,获取3个文献集和两个引文文本集,构建两个无向的关键词共现网络和两个有向的基于文献引证的关键词网络。通过共现网络,观察数字人文领域知识的吸收与扩散;通过引证关键词网络,观察数字人文的形成与转化。[结果/结论]研究揭示数字人文的研究重点、核心领域与核心技术,从受众的角度为数字人文领域未来研究提供借鉴和参考。 [ Purpose/significance] Citation shows the link between citing articles and cited ones, which reflects the reference and affirmation of successors. Derived from the traditional keyword network , this paper has innovated keyword network based on citation context. The constmcted knowledge map can not only reveal the deep infonnation of the literature ,but also reflect the knowledge -based process by which the readers actively select and utilize the literature.[Method/ process] In this paper, digital humanity was established as the research field. Three literature sets and two citation text sets were collected to build two non -direction keyword -sharing networks and two directed keyword networks based on citation. The co-occurrence network showed the absorption and diffusion of the knowledge of digital humanities while the citation keyword network illustrated the foiTnation and transformation of digital humanities.[Result/conclusion ] After visualization of the constructed network , the research obtained core domain and core technology of digital humanities, which provided reference for the future research of digital humanities from the perspective of information recipients.
作者 许鑫 陈路遥 杨佳颖 Xu Xin;Chen Luyao;Yang Jiaying(Department of Information Management, Faculty of Economics and Management, East China Normal University, Shanghai 200241)
出处 《图书情报工作》 CSSCI 北大核心 2019年第7期86-95,共10页 Library and Information Service
基金 上海市哲学社会科学规划项目“上海图书馆特藏资源的数字人文应用研究”(项目编号:2017BTQ001)研究成果之一
关键词 知识图谱 数字人文 引文上下文 关键词网络 可视化 mapping knowledge domain digital humanities citation context keyword network visualization
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