Thesis Abstract

Abstract
With the rapid advancements in technology, artificial intelligence (AI) has emerged as a powerful tool with the potential to revolutionize various fields, including libraries and information science. This thesis investigates the impact of AI on information retrieval in libraries, aiming to explore how AI technologies can enhance and transform traditional library services. The study delves into the current landscape of information retrieval in libraries, identifies challenges faced by library professionals, and investigates the opportunities presented by integrating AI technologies into library systems. The research begins with a comprehensive literature review, analyzing existing studies on the intersection of AI and information retrieval in libraries. Through an in-depth exploration of ten key themes in the literature, the study provides a critical analysis of the existing body of knowledge in this area. This review serves as the foundation for understanding the current state of AI applications in library settings and highlights gaps in research that warrant further investigation. Subsequently, the research methodology chapter outlines the approach taken to conduct this study, including the research design, data collection methods, and analysis techniques employed. By utilizing a mixed-methods approach, incorporating both qualitative and quantitative data, the study aims to provide a holistic view of the impact of AI on information retrieval in libraries. The findings chapter presents the results of the empirical research, shedding light on the opportunities and challenges associated with implementing AI technologies in library information retrieval systems. Through an elaborate discussion of the findings, the study identifies key trends, best practices, and implications for library professionals seeking to leverage AI to enhance information services. In conclusion, this thesis summarizes the key findings and recommendations derived from the research, emphasizing the significance of AI in transforming information retrieval practices in libraries. The study underscores the importance of embracing AI technologies as a means to improve efficiency, accuracy, and user experience in library services. By exploring the impact of AI on information retrieval in libraries, this research contributes to the growing body of knowledge on the intersection of technology and information science, offering insights that can inform future developments in the field. Keywords Artificial Intelligence, Information Retrieval, Libraries, Technology, Research, Impact, Literature Review, Methodology, Findings, Recommendations.

Thesis Overview

The research project titled "Exploring the Impact of Artificial Intelligence on Information Retrieval in Libraries" aims to investigate the influence of artificial intelligence (AI) on the process of information retrieval within library settings. In recent years, AI technologies have rapidly advanced and are increasingly being integrated into various sectors, including libraries, to enhance efficiency and user experience. This study seeks to explore how AI tools and techniques are transforming information retrieval practices in libraries and the implications of these changes. The project will begin by providing an introduction that outlines the background of the study, the problem statement, research objectives, limitations, scope, significance, and structure of the thesis. This section will set the stage for the subsequent chapters by establishing the context and rationale for investigating the impact of AI on information retrieval in libraries. Chapter two will consist of a comprehensive literature review that examines existing research and scholarly work related to AI applications in libraries, information retrieval systems, and the intersection of AI and library services. This chapter will synthesize key findings, identify gaps in the literature, and provide a theoretical framework for the study. Chapter three will focus on the research methodology, detailing the research design, data collection methods, sampling strategy, data analysis techniques, and ethical considerations. By employing a rigorous research methodology, this study aims to gather empirical evidence to support its findings and conclusions. Chapter four will present a detailed discussion of the research findings, analyzing the impact of AI on information retrieval in libraries based on the data collected and analyzed. This chapter will explore how AI technologies such as natural language processing, machine learning, and recommendation systems are being utilized in libraries to enhance search capabilities, personalize user experiences, and improve information discovery. Finally, chapter five will provide a conclusion and summary of the research, highlighting the key findings, implications for practice, theoretical contributions, and recommendations for future research. This section will also reflect on the broader significance of the study and its potential contributions to the field of library and information science. Overall, this research project seeks to deepen our understanding of how AI is reshaping information retrieval practices in libraries and to offer insights that can inform the development of innovative strategies for leveraging AI technologies to enhance library services and improve user engagement.