INTEGRATION OF MODERN LIBRARY SCIENCE AND INFORMATION TECHNOLOGIES
Keywords:
artificial intelligence, libraries, data analytics, automation, intelligent search, chatbots, bibliometric analysis.Abstract
This article examines the impact of artificial intelligence (AI) and data analytics on modern library operations. AI technologies enable libraries to automate cataloging, improve intelligent information retrieval, provide personalized recommendations to users, and implement chatbot services. Data analytics helps in understanding user information needs, optimizing library resource utilization, and supporting scientific research. This study analyzes the benefits of artificial intelligence and data analytics for libraries, their practical applications, and future development prospects.
References
Jeanneney, J. (2007). Google and the Myth of Universal Knowledge: A View from Europe. University of Chicago Press.
Chowdhury, G. G. (2010). Introduction to Modern Information Retrieval. Facet Publishing.
IFLA. (2022). Global Library Trends 2022: AI and Virtual Reality. Retrieved from https://www.ifla.org
Lankes, R. D. (2016). The New Librarianship Field Guide. MIT Press.
UNESCO. (2021). Preserving Digital Cultural Heritage: Global Strategies. UNESCO Publishing.
Harrison, K., & O’Hagan, J. (2020). Virtual Reality in Libraries: Redefining User Engagement.Library Hi Tech, 38(3), 456-470.https://doi.org/10.1108/LHT-01-2020-0012
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