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Research Trends on Information Technology and Artificial Intelligence for Libraries Using Bibliographic Mapping

  • Journal of the Korean Biblia Society for Library and Information Science
  • 2024, 35(4), pp.45-65
  • DOI : 10.14699/kbiblia.2024.35.4.045
  • Publisher : Journal Of The Korean Biblia Society For Library And Information Science
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 17, 2024
  • Accepted : December 3, 2024
  • Published : December 30, 2024

Younghee Park 1 Kim, Seonghee 2

1중앙대학교 일반대학원 문헌정보학과
2중앙대학교

Accredited

ABSTRACT

The aim of this study is to identify research trends related to information technology and artificial intelligence and to analyze changes in these trends over time. To conduct the research, we utilized the Web of Science (WoS) database and collected a total of 4,233 articles from 2011 to June 2024, performing a bibliographic mapping analysis. To observe changes over time, the data was divided into three periods: Period 1 (2011-2015), Period 2 (2016-2020), and Period 3 (2021-June 2024). The analysis revealed that clusters such as ‘academic library,’ ‘information literacy,’ and ‘librarian’ were of consistent interest throughout the entire period. In Period 1, a Web 2.0 cluster emerged, composed of keywords such as Library 2.0, Web 2.0, and social media. In Period 2, the ‘bibliometrics’ cluster expanded significantly, and keywords like ‘big data’ and ‘deep learning’ began to appear. In Period 3, new clusters such as ‘artificial intelligence,’ ‘machine learning,’ and ‘COVID-19’ emerged, highlighting these as key research topics.

Citation status

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