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学科领域知识元演化态势分析——以“生命周期”在图情档学科下的应用为例

Analysis on the Evolution Trend of Knowledge Elements in Discipline Field:Taking the Application of“Life Cycle”in the Discipline of Library,Information and Archives as an Example
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摘要 问题、方法知识元是学术文献的基本组成单元,抽取知识元并进行知识演化研究对探索学科领域研究热点和发展态势具有重要意义。选取学术文献中的摘要部分作为数据对象,以正则表达式的形式构建抽取规则,采用模式匹配的方式抽取知识元;在知识元库形成后,使用自编Python程序优化抽取流程,对摘要中涉及的方法、问题知识元进行更全面的抽取;最后运用Matplotlib工具绘制时间分布热力图,以可视化的形式展示知识元演化规律。研究表明:通过分析知识元的演化态势,可以细粒度探析学科领域研究的发展脉络,从而有助于知识发现,同时也可以为开展演化趋势分析和预测前沿等相关研究提供方法借鉴。 Problem and method knowledge elements are the basic units of academic literature.Extracting knowledge elements and conducting knowledge evolution studies are essential for exploring research hotspots and development trends in subject areas.This paper,selecting the abstract section from academic literature as the data objects,constructs the extraction rules in the form of regular expressions,and extracts the knowledge elements by pattern matching;after the formation of the knowledge element warehouse,the study optimizes the extraction process by using a self-designed Python program,in order to extract the method and problem knowledge elements involved in the abstract more comprehensively;finally,a heat map of temporal distribution is drawed by using the Matplotlib tool to show the knowledge element evolution pattern in a visualized form.The research shows that by analyzing the evolution trend of knowledge elements,it is possible to explore the development context of disciplinary research at a fine-grained level,which is helpful for knowledge discovery.Meanwhile,it also provides a methodological reference for conducting relevant studies on evolutionary trend analysis and prediction frontiers.
作者 王贺 李秀霞 WANG He;LI Xiuxia
出处 《图书情报导刊》 2023年第5期58-64,共7页 Journal of Library and Information Science
关键词 知识元抽取 细粒度分析 演化分析 学术文献 knowledge element extraction fine-grained analysis evolutionary analysis academic literature
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