Library Development: Transition from Traditional to Artificial Data

Year : 2025 | Volume : 12 | Issue : 01 | Page : 33 39
    By

    Pankaj Kumar Dedha,

  • Vinod Kumar,

  • Ranjana Yadav,

  1. Librarian, Raj Kumar Goel Institute of Technology, Ghaziabad, Uttar Pradesh, India
  2. Assistant Professor, S.D. PG College, Ghaziabad, Uttar Pradesh, India
  3. Librarian, Agrawan Haritage University, Agra, Uttar Pradesh, India

Abstract

Presently, conventional libraries, although using information tools, are encountering difficulties in effectively managing books. Traditional libraries must embrace innovation and adapt to the AI society in this technological age. Internet-of-things (IoT) technologies have the capability to collect data in real-time. By implementing business process re-engineering, it is possible to improve and optimize certain procedures. Implementing an AI library management system that incorporates IoT and automates the fundamental operations of a typical library would advance the library towards a state-of-the-art facility. Users will have the capability to interact intelligently with IoT devices in order to carry out pertinent activities. The article outlines a conventional library system and emphasizes the difficulties encountered by such a system. Furthermore, the research elucidates the transformation of conventional library procedures into a smart library via the use of cutting-edge technology. The Digital library is designed to effectively carry out library administration and address conventional library issues.

Keywords: Digital Collection, Physical Collection, Traditional Library, Metadata, AI,

[This article belongs to Journal of Advancements in Library Sciences ]

How to cite this article:
Pankaj Kumar Dedha, Vinod Kumar, Ranjana Yadav. Library Development: Transition from Traditional to Artificial Data. Journal of Advancements in Library Sciences. 2025; 12(01):33-39.
How to cite this URL:
Pankaj Kumar Dedha, Vinod Kumar, Ranjana Yadav. Library Development: Transition from Traditional to Artificial Data. Journal of Advancements in Library Sciences. 2025; 12(01):33-39. Available from: https://journals.stmjournals.com/joals/article=2025/view=212720


References

  1. Adewojo, A. A., & Dunmade, A. O. (2024). From big data to intelligent libraries: Leveraging analytics for enhanced user experiences. Business Information Review, 0(0). https://doi.org/10.1177/02663821241264707
  2. Affum MQ, Dwomoh OK (2023) Investigating the potential impact of artificial intelligence in librarianship. Library Philosophy and Practice1–12.
  3. Agarwal R, Bjarnadottir M, Rhue L, et al. (2023) Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework. Health Policy and Technology12(1): p.100702.
  4. Akour I, Alzyoud M, Alquqa E, et al. (2024) Artificial intelligence and financial decisions: empirical evidence from developing economies. International Journal of Data and Network Science8(1): 101–108.
  5. Alexander T (2024) Proactive customer support: Re-architecting A customer support/relationship management software system leveraging predictive analysis/AI and machine learning. Eng OA2(1): 39–50.
  6. Ali O, Murray PA, Momin M, et al. (2024) The effects of artificial intelligence applications in educational settings: challenges and strategies. Technological Forecasting and Social Change199: 123076.
  7. Bali B (2024) Analysis of emerging trends in artificial intelligence in education in Nigeria. PREPRINT (Version 1) available at Research Square.
  8. Bamgbade, B.J., B.A. Akintola, D.O. Agbenu, C.O. Ayeni, O.O. Fagbami and H.O. Abubakar, (2015) “Comparative analysis and benefits of digital library over traditional library”, World Scientific News, 24, pp.1-7
  9. Ben-Daya, M. E. Hassini and Z. Bahroun, (2019) “Internet of things and supply chain management: a literature review” International Journal of Production Research, vol. 57(15-16), pp.4719-4742.
  10. Bernasconi E, Ceriani M, Mecella M, et al. (2023) Design, realization, and user evaluation of the ARCA system for exploring a digital library. International Journal on Digital Libraries24(1): 1–22.
  11. Bhat, K.S M. Rao and Pai, R.D., (2014) “National Conference on Management of Modern Libraries” (NACML), vol. 1, Allied Publishers.
  12. Brian, A.L.A, L. Arockiam and P.D.S.K. Malarchelvi, (2014) “An IOT based secured smart library system with NFC based book tracking”, International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE), vol. 11(5)
  13. Itmazi, J. (2013) “The Importance of Digital Libraries in the Palestinian Universities”
  14. Kriz,P., F. Maly and T. Kozel, (2016) “Improving indoor localization using bluetooth low energy beacons”, Mobile Information Systems,
  15. Kwok, S.K., C.F. Cheung, W.B. Lee, A.H. Tsang and M.C. Tang, (2008) “Development of an RFID-enabled mobile smart library system”, International Journal of Enterprise Network Management, vol. 2(2), pp.185-197
  16. Liang, X. and Y. Chen, (2018) “Libraries in Internet of Things (IoT) era”, Library Hi Tech,
  17. Lund BD, Wang T (2023) Chatting about ChatGPT: how may AI and GPT impact academia and libraries? Library Hi Tech News40(3): 26–29.
  18. Nisha, P. P. Karande, J. Desai and S. Pereira, (2017) “Internet of Things for library Management System”, International Journal of Engineering Science & Computing (IJESC), vol. 7(4), pp.10021-10024,
  19. O’Reilly C, Appleton L (2023) Teaching an Old Library New Tricks: An Analysis of the User Experience of Three Dublin Library Buildings. Public Library Quarterly, 1–29.
  20. O’Neill, P. and Sohal, A.S. (1999) “Business Process Reengineering A review of recent literature”. Technovation, vol. 19(9), pp.571-581
  21. Rehman, H.A., A.S. Soomro, F.A. Surahio and A.K. Jumani, (2016) “Implementation of Library Management System Using Radio Frequency Identification Technology in Sindh Libraries”, International Journal of Computer Science and Information Security (IJCSIS), vol. 14(7)
  22. Tanuja, K. Tanushree, DL, V.K., R. Vindhya and R. Gopinath, (2018) “RFID-based Smart Library Management System” International Journal of Advanced Research in Computer Science, vol. 9(3), p.189.
  23. Tarique, M. and V.C. Priya Rani, (2017) “Implementation of RFID in library management system based on Internet of Things (IOT)”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(3), pp.315-321.
  24. Trivedi, M. (2010) “Digital libraries: functionality, usability, and accessibility. Library Philosophy and Practice”, vol. 381.
  25. Vaidya, O.S. Snehal Kulthe, A. Khaire, and N. Kela, (2017) “Design & Implementation of RFID based book tracking system in library” International Journal of Electrical and Electronics Engineers (IJEEE), vol. 9(1)
  26. Vasques X (2024) Machine Learning Theory and Applications: Hands-On Use Cases with Python on Classical and Quantum Machines. Hoboken: John Wiley & Sons.

Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 01/10/2024
Accepted 05/12/2024
Published 05/01/2025
Publication Time 96 Days


Login


My IP

PlumX Metrics