The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic

IF 3.4 3区管理学 0 INFORMATION SCIENCE & LIBRARY SCIENCE

Library Hi Tech Pub Date : 2023-04-17 DOI:10.1108/lht-07-2022-0326

Prasetyo Adi Nugroho, N. Anna, Noraini Ismail

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引用次数: 4

Abstract

PurposeThis study sought to analyze the correlation between artificial intelligence (AI) and libraries and examine whether there were any shifts in research trends related to these two topics during the coronavirus pandemic.Design/methodology/approachThe study gathered secondary data from the Scopus website using the keywords “AI,” “library” and “repository,” from 1993 to 2022. Data were re-analyzed using the bibliometric software VOSviewer to examine the trending country's keyword relations and appearance and Biblioshiny to study the publication metadata.FindingsIndex keywords, such as “human,” “deep learning,” “machine learning,” “surveys” and “open-source software,” became popular during 2020, being closely related to digital libraries. Additionally, the annual scientific production of papers increased significantly in 2021. Words related to data mining also had the most significant growth from 2019 to 2022 because of the importance of data mining for library services during the pandemic.Practical implicationsThis study provides insight for librarians for the implementation of AI to support repositories during the pandemic. Librarians can learn how to maximize the AI-based repository services in academic libraries during the pandemic. Furthermore, academic libraries can create policies for repository services using AI.Social implicationsThis study can lead researchers, academicians and practitioners in conducting research on AI in library repositories.Originality/valueAs research on AI and digital repositories remains limited, the study identifies themes and highlights the knowledge gap existing in the field.

查看原文本刊更多论文

在冠状病毒大流行期间，图书馆知识库中与人工智能相关的研究趋势发生了变化

目的本研究旨在分析人工智能(AI)与图书馆之间的相关性，并研究在冠状病毒大流行期间，这两个主题的研究趋势是否发生了变化。设计/方法/方法该研究使用关键词“AI”、“library”和“repository”从Scopus网站收集了1993年至2022年的二手数据。使用文献计量软件VOSviewer和Biblioshiny对数据进行重新分析，分析趋势国家的关键词关系和出现情况，研究出版物元数据。“人类”、“深度学习”、“机器学习”、“调查”和“开源软件”等关键词在2020年变得流行起来，与数字图书馆密切相关。此外，2021年年度科学论文产量显著增加。由于疫情期间数据挖掘对图书馆服务的重要性，与数据挖掘相关的词汇在2019年至2022年期间的增长也最为显著。实际意义本研究为图书馆员在疫情期间实施人工智能来支持知识库提供了见解。图书馆员可以学习如何在疫情期间最大限度地利用基于人工智能的学术图书馆知识库服务。此外，学术图书馆可以使用人工智能为存储库服务创建策略。社会意义本研究可以引导研究人员、学者和从业者在图书馆知识库中开展人工智能研究。独创性/价值虽然对人工智能和数字存储库的研究仍然有限，但该研究确定了主题，并强调了该领域存在的知识差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Library Hi Tech INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

8.30

自引率

44.10%

发文量

期刊介绍： ■Integrated library systems ■Networking ■Strategic planning ■Policy implementation across entire institutions ■Security ■Automation systems ■The role of consortia ■Resource access initiatives ■Architecture and technology ■Electronic publishing ■Library technology in specific countries ■User perspectives on technology ■How technology can help disabled library users ■Library-related web sites