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AI-Driven Transformation in Libraries: AI Features in Open-Source vs. Proprietary Applications | ||
| Journal of Information Technology Management | ||
| دوره 18، شماره 2، 2026، صفحه 100-109 اصل مقاله (1.38 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2026.107232 | ||
| نویسندگان | ||
| Kadiri Raihanath* 1؛ Anjali Mithu Gayan2 | ||
| 1Senior Librarian, Liwa College, Abu Dhabi, UAE. | ||
| 2Assistant Professor, Dept. of Library and Information Science, Tripura University, Suryamaninagar, Tripura, India. | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Artificial Intelligence؛ Machine Learning؛ Academic Library؛ Open-Source Software؛ Proprietary Software؛ Library transformation | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 115 تعداد دریافت فایل اصل مقاله: 68 |
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