Thesis Abstract

Abstract
The exponential growth of information in libraries has led to challenges in efficient information retrieval processes. This research project focuses on the application of Artificial Intelligence (AI) to enhance information retrieval in libraries. The aim is to develop an intelligent system that can automate and improve the search and retrieval of information resources, thereby providing users with quicker and more accurate results. Chapter One provides an introduction to the research topic, giving insight into the background of the study, the problem statement, objectives, limitations, scope, significance, and structure of the thesis. Additionally, it includes definitions of key terms to establish a clear understanding of the study. Chapter Two presents a comprehensive literature review covering ten key areas related to the use of AI in information retrieval in libraries. This chapter explores existing studies, technologies, and methodologies employed in similar research areas, providing a foundation for the current study. Chapter Three outlines the research methodology employed in this study. It includes detailed descriptions of the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the theoretical framework guiding the research process. Chapter Four presents the findings of the study, showcasing the development and implementation of the AI-based information retrieval system in libraries. The chapter discusses the results obtained from testing the system and evaluating its performance in enhancing information retrieval processes. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the study, and offering recommendations for future research and practical applications. The research contributes to the field of Library and Information Science by demonstrating the potential of AI in improving information retrieval efficiency and user satisfaction in libraries. In conclusion, this research project explores the integration of Artificial Intelligence technologies to revolutionize information retrieval processes in libraries. The study highlights the importance of leveraging AI for enhanced search capabilities, ultimately benefiting library users and researchers in accessing information resources effectively and efficiently.

Thesis Overview

The project titled "Utilizing Artificial Intelligence for Enhanced Information Retrieval in Libraries" aims to explore the potential of artificial intelligence (AI) in transforming information retrieval processes within library settings. With the rapid advancements in AI technologies, there is a growing interest in leveraging these tools to enhance the efficiency and effectiveness of library services. This research overview provides a comprehensive look into the key objectives, methodologies, and potential implications of utilizing AI for information retrieval in libraries. The primary objective of this project is to investigate how AI technologies can be integrated into library systems to improve the search and retrieval of information for library users. By leveraging AI algorithms, natural language processing, and machine learning techniques, libraries can offer more personalized and efficient information services to their patrons. The research will also explore the challenges and limitations associated with implementing AI in library settings, such as data privacy concerns, algorithm biases, and user acceptance. The methodology for this research will involve a combination of literature review, case studies, and data analysis. The literature review will provide a comprehensive overview of existing studies and projects related to AI in libraries, highlighting best practices and potential areas for further exploration. Case studies will be conducted to examine real-world examples of AI implementation in libraries and assess their impact on information retrieval processes. Data analysis will involve collecting and analyzing user feedback, usage data, and other relevant metrics to evaluate the effectiveness of AI-powered information retrieval systems. The findings of this research are expected to contribute to the growing body of knowledge on the application of AI in library settings. By identifying the benefits, challenges, and best practices associated with utilizing AI for information retrieval, this project aims to provide valuable insights for librarians, information professionals, and researchers interested in leveraging AI technologies to enhance library services. The implications of this research extend beyond the academic realm, with potential applications in public, academic, and special libraries seeking to modernize their information retrieval systems. Overall, this research overview sets the stage for a detailed investigation into the utilization of artificial intelligence for enhanced information retrieval in libraries. By exploring the potential of AI technologies to transform traditional library services, this project aims to pave the way for innovative solutions that improve access to information, promote user engagement, and enhance the overall user experience in library settings.