The Impact of Artificial Intelligence on Information Retrieval in Libraries

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.