A Review on Library Automation Using Artificial Intelligence
Shailendra Vidhate, Ajinkya Badgujar, Ninad Patil, Rahul Pawar · SSRN Electronic Journal · 2019
Artificial Intelligence is a broad, complex area of study, which can be difficult for no specialists to understand. Yet, its ultimate promise is to create computer systems that rival human intelligence, and this clearly has major implications for librarianship. If we want to make progress in the area of intelligent systems, we must have a well-developed understanding of AI technologies. Through the existing application of AI technologies, numerous prototype intelligent library systems has been created for cataloging, indexing, information retrieval, reference, and other purposes; however, relatively few of these systems have evolved into product or systems that are used in the day-to day operations of libraries. This proposed system automates the task of librarian and the users, using AI concepts like Natural language processing (NLP), data mining and speech recognition system. This system helps user to search and locate (path to reach to book location) books from library. Motivation behind implementing AI is, Data mining simplifies data processing and provides optimal results. NLP and speech recognition simplify system interaction for librarian and users. The system helps simplifying book issuing process and record maintenance as complete solution to conventional library management system.