Thesis Abstract

Abstract
This thesis examines the impact of artificial intelligence (AI) on information retrieval in libraries. As technological advancements continue to reshape the way information is accessed and managed, the integration of AI in library systems has become increasingly prevalent. The study aims to explore how AI technologies such as natural language processing, machine learning, and data mining are revolutionizing information retrieval practices in libraries, ultimately enhancing the efficiency and effectiveness of information services. Chapter One provides an introduction to the research topic, discussing the background of the study, the problem statement, research objectives, limitations, scope, significance of the study, and the structure of the thesis. The chapter also includes definitions of key terms related to AI and information retrieval. Chapter Two presents a comprehensive literature review that examines existing research on the application of AI in library settings. The review covers topics such as AI technologies used in information retrieval, the benefits and challenges of AI implementation in libraries, and best practices for integrating AI into library systems. Chapter Three outlines the research methodology employed in this study. It discusses the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter also describes how the research objectives were achieved through a combination of qualitative and quantitative research approaches. Chapter Four presents a detailed analysis of the findings derived from the research. The chapter discusses the impact of AI on various aspects of information retrieval in libraries, including user search experiences, content recommendation systems, and data organization. The findings highlight the potential of AI to streamline information retrieval processes and improve user satisfaction. Chapter Five concludes the thesis by summarizing the key findings and discussing their implications for the field of library and information science. The chapter also provides recommendations for future research and practical applications of AI in library settings. Overall, this thesis contributes to the growing body of literature on the role of AI in information retrieval within library environments. By exploring the impact of AI technologies on library services, this study offers valuable insights into the transformative potential of AI in enhancing information access and retrieval mechanisms in libraries.

Thesis Overview

The research project titled "The Impact of Artificial Intelligence on Information Retrieval in Libraries" aims to investigate the influence of artificial intelligence (AI) on the processes of information retrieval within library settings. As technology continues to advance at a rapid pace, AI has emerged as a transformative tool with the potential to revolutionize traditional library practices. This study seeks to explore how AI technologies, such as machine learning algorithms and natural language processing, are being integrated into library systems to enhance information retrieval capabilities. The project will begin with a comprehensive review of the existing literature on AI in libraries, examining the various applications of AI in information retrieval and the potential benefits and challenges associated with its implementation. This literature review will provide a theoretical foundation for understanding the current landscape of AI technologies in library settings and the implications for information professionals. Following the literature review, the research will delve into the methodology section, outlining the approach and methods used to investigate the impact of AI on information retrieval in libraries. This will include details on the research design, data collection methods, and analysis techniques employed to gather and interpret data related to AI implementation in library systems. The findings section of the project will present a detailed analysis of the data collected, highlighting the key trends, challenges, and opportunities identified in the integration of AI technologies for information retrieval in libraries. Through a critical examination of these findings, the research aims to provide insights into the effectiveness of AI tools in improving information access and retrieval processes within library environments. Lastly, the conclusion and summary section of the project will synthesize the key findings and implications of the study, offering recommendations for future research and practical implications for library professionals looking to leverage AI for enhanced information retrieval services. By exploring the impact of AI on information retrieval in libraries, this research project aims to contribute to the ongoing dialogue surrounding the intersection of technology and library services in the digital age.