Project Abstract

Abstract
The advent of artificial intelligence (AI) has revolutionized numerous industries, and the field of Library and Information Science is no exception. This research project aims to explore the potential benefits of utilizing AI for improved library cataloging and information retrieval. The primary objective is to investigate how AI technologies can enhance the efficiency and effectiveness of organizing library resources and facilitating information discovery for users. The research begins with a comprehensive review of the existing literature on AI applications in library science, focusing on various AI techniques such as machine learning, natural language processing, and deep learning. By examining the current state of AI in library cataloging and information retrieval, the study aims to identify gaps and opportunities for further research and implementation. Methodologically, this research project adopts a mixed-method approach, combining quantitative analysis of data on library usage patterns and qualitative exploration of user preferences and experiences. The research methodology includes data collection through surveys, interviews, and observation of library users interacting with AI-powered cataloging systems. The findings of this study are expected to shed light on the potential benefits and challenges of integrating AI into library cataloging processes. The discussion of findings will analyze the impact of AI on library efficiency, user satisfaction, and information discovery. Furthermore, the research will explore the ethical implications of AI technologies in library settings, particularly concerning privacy, bias, and transparency. In conclusion, this research project contributes to the growing body of literature on AI applications in Library and Information Science by providing insights into the potential of AI for improving library cataloging and information retrieval. The study highlights the importance of adapting AI technologies to meet the evolving needs of libraries and their users in the digital age. Keywords Artificial Intelligence, Library Science, Information Retrieval, Cataloging, Machine Learning, Natural Language Processing, Deep Learning, User Experience, Ethical Implications.

Project Overview