Thematic Structure of the Stream of Foreign Articles on the use of Artificial Intelligence Technologies in the Library and Information Field: 2019–2023
In: Visnyk Charkivsʹkoi͏̈ deržavnoi͏̈ akademii͏̈ kulʹtury: zbirnyk naukovych prac' = Visnyk of Kharkiv State Academy of Culture : scientific journal, Heft 65, S. 37-52
ISSN: 2522-1132
The purpose of the article is to analyze global trends in the practical use of artificial intelligence algorithms in library science in 2019–2023, establish the state of practical use of AI algorithms in libraries of leading countries, identify problems and prospects for the implementation of foreign experience into the practice of Ukrainian libraries.
The methodology of the research includes content analysis, literature review, and systematization. 20% of the most influential (CiteScore metric in Scopus) scientific journals in library and information science in 2019–2023 were selected. Then 100 articles related to artificial intelligence were filtered. Only those articles that have practical results were used for this study.
The results. The analysis of articles allowed to identify the main research topics of artificial intelligence in library science: application of artificial intelligence in: digital linguistics (20%), scientometrics and altmetrics (45,7%), integration with Big Data to ensure data quality (5,7%), research on historical and cultural heritage (11,4%), and integration of AI technologies into library production (17,1%). The results of the conducted research allow to clarify the state of development of AI problems in foreign library science, to determine the methodologies of integrating AI technologies into modern library production.
The scientific novelty of the article is explained by the absence of Ukrainian comprehensive studies on the international experience of implementing AI in library activities, which emphasizes the need for such research.
The practical significance. Examples of practical implementation of AI algorithms are valuable because studying approaches, analyzing mistakes, and conclusions of experienced scientists will improve models of AI application in the work of Ukrainian archives, libraries, and other document-communication institutions.