AI-Driven Transformation in Libraries: AI Features in Open-Source vs. Proprietary Applications

Document Type : Research Paper

Authors

1 Senior Librarian, Liwa College, Abu Dhabi, UAE.

2 Assistant Professor, Dept. of Library and Information Science, Tripura University, Suryamaninagar, Tripura, India.

10.22059/jitm.2026.107232

Abstract

Libraries are fast-growing with the implementation of Artificial Intelligence technologies, trans-forming operations, resource management, and user services. This study examines AI implementa-tion in open-source and proprietary library systems. AI-driven solutions enhance cataloguing, metadata management, search functionality, discovery services, virtual assistance, and personalized user experiences. Proprietary systems are competitive in exploring AI adoption with predictive ana-lytics, automated classification, linked data, discovery services, and virtual assistants. In contrast, open-source systems show potential but require further technological advancements in the current studies. The study also explores the role of AI in digital repositories, research management, and dis-covery services. Future developments should try to improve open-source AI tools to ensure wider accessibility and inclusion of various types of libraries.

Keywords

References

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Journal of Information Technology Management
Volume 18, Issue 2
2026
Pages 100-109

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