【摘要】 【目的/意义】图情领域在数字资源发现、组织与应用中越来越多使用到信息抽取技术,本文将对该领域在信息抽取技术方面的研究进展及应用情况等进行分析,为本领域相关人员提供参考。【方法/过程】以国内图书馆学、情报学领域中国核心期刊和国外33种图情期刊为信息源对其中刊载的信息抽取相关研究成果进行计量分析,检索过程不设置时间限制,并利用CNKI、EndNote、Excel、Python分析工具对主题相关的165篇中文文献和35篇外文文献进行年度趋势分析、期刊发文量分析、机构分析、作者分析以及论文主题分布研究。【结果/结论】得出图情领域信息抽取研究的发展趋势、重要的信息源、重要作者、主题研究以及信息抽取技术在图情领域的具体应用。更多还原

【Abstract】 【Purpose/significance】 With the rapid development of networking, digitization, and big data, more and more information extraction technologies have been applied to digital resource discovery, organization, and applications. This article will review and analysis the research progress in the field of information extraction technology in this field to provide reference for the relevant personnel in the field.【Method/process】The data of 18 types of Chinese Core Journals and 32 foreign graphic journals in the field of domestic Library Science and Information Science were collected. Without limiting the years, the retrieved information was selected as the subject of research. In this article, CNKI, EndNote, Excel, and Python analysis tools were used to analyze the annual trends,the volume of journal articles,organizations, the authors and the distributive topics of 165 Chinese articles and 35 foreign articles related to topics.【Result/conclusion】It draws the development trend of information extraction research, important information sources, major authors, subject research, and the specific application of information extraction technology in the field of Library and Information Science.更多还原