Vol. 14(2), pp. 48- --61 September, 2025. 

ISSN: 2360-7858

https://doi.org/10.14662/ijalis2026035

 

Full Length Research

 

Abstract

The fast development of artificial intelligence (AI) technologies is radically changing the process of cataloguing and classification services in academic libraries in the environment of a new digital economy. The current paper discusses the character and activity of academic libraries and specifically how AI-driven technologies are transforming the conventional activities of cataloguing and classification. The paper uses empirical research, institutional reports and statistical data between the years 2019 and 2025 to elaborate on the use of machine learning algorithms, natural language processing (NLP) and semantic web technologies in the automation of metadata generation, subject indexing and record creation. The paper also examines the radical effect of the digital economy on the library cataloguing procedures that involve the adoption of library management systems based on clouds, linked data models, and library cataloguing processes enhanced with AI. The most important issues, including the quality of data, algorithmic bias, and staff competencies, and financial limitations are addressed in combination with strategic frameworks of successful AI implementation. The results indicate a strategy to adopt AI-based cataloguing by academic libraries as an essential technological development, but also as a strategic change in alignment with the knowledge management requirements of the twenty-first-century digital economy.

 

Keywords: Artificial Intelligence, Academic Libraries, Cataloguing, Classification, Digital Economy, Machine Learning, Natural Language Processing, Library Automation

 

	Cite This Article As: Olubiyo, O.P. Rabiu, M.S. (2026). AI-Driven Cataloguing and Classification Services in Academic Libraries in a Digital Economy. Inter. J. Acad. Lib. Info. Sci. 14(2): 48-61