AI-Powered Revolution: Automating Information Management in Libraries

Kannaujia, Santosh Kumar, Verma, Pradeep Kumar, Verma, Sandeep Kumar and Patel, Dr. Madhu AI-Powered Revolution: Automating Information Management in Libraries., 2024 . In Copyright 2024 © Editors, ICAL 2024, Akal University, Talwandi Sabo, Punjab, India | ISBN: 978-93-92958-97-7 Chapter 38; S. Hasan, S. Kumar, S. Panda, K. N. Khan & G. Samdani (Eds); PP. 291-300; Synergy Books India, N.D., Akal University, Talwandi Sabo, Bathinda-151302, Punjab, INDIA. [Conference paper]

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English abstract

Artificial Intelligence (AI) is revolutionizing library operations by streamlining cataloguing, enhancing search functionalities, and optimizing resource allocation. This paper explores the impact of AI on library operations, focusing on information management. AI streamlines cataloguing, enhances search functionalities, and optimizes resource allocation. It also plays a role in user experiences, enabling data-driven decision-making and addressing information overload challenges. The proposed system automates librarian and user tasks, simplifies book searches, locates paths within the library, and streamlines interactions. The paper highlights the importance of understanding AI technologies for progress in intelligent systems and the potential for AI to revolutionize libraries by creating a more efficient, accessible, and responsive information ecosystem.

Item type: Conference paper
Keywords: Artificial Intelligence, Automation, Libraries, Information Management.
Subjects: F. Management.
J. Technical services in libraries, archives, museum.
J. Technical services in libraries, archives, museum. > JA. Acquisitions.
J. Technical services in libraries, archives, museum. > JB. Serials management.
J. Technical services in libraries, archives, museum. > JE. Record keeping.
J. Technical services in libraries, archives, museum. > JG. Digitization.
J. Technical services in libraries, archives, museum. > JH. Digital preservation.
Depositing user: Mr. Sandeep Kumar Verma
Date deposited: 11 Aug 2024 06:43
Last modified: 11 Aug 2024 06:43
URI: http://hdl.handle.net/10760/45901

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