Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on information retrieval in libraries. The study aims to explore how AI technologies are transforming traditional methods of information retrieval and reshaping the landscape of library services. Through a comprehensive literature review, research methodology, and analysis of findings, this research provides insights into the opportunities and challenges presented by the integration of AI in library operations. Chapter One introduces the research topic, providing a background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The chapter highlights the growing relevance of AI in library settings and sets the stage for a detailed exploration of its impact on information retrieval practices. Chapter Two presents a comprehensive literature review that examines existing studies, theories, and applications related to AI in libraries and information retrieval. The review covers ten key areas, including the evolution of AI technologies, AI applications in libraries, user experience enhancement, and ethical considerations surrounding AI implementation in library services. Chapter Three outlines the research methodology employed in this study, including the research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter provides a detailed overview of the steps taken to investigate the impact of AI on information retrieval in libraries and ensures the validity and reliability of the research findings. Chapter Four presents an in-depth discussion of the research findings, focusing on the implications of AI technologies for information retrieval in libraries. The chapter analyzes the key themes and trends emerging from the data, explores the benefits and challenges of AI integration, and discusses the potential future directions of AI-enhanced library services. Chapter Five concludes the thesis by summarizing the key findings, implications, and contributions of the study. The chapter reflects on the research objectives, highlights the significance of the results, and offers recommendations for future research and practical implications for library professionals. Overall, this thesis contributes to the growing body of knowledge on the role of AI in transforming information retrieval practices in libraries and provides valuable insights for researchers, practitioners, and policymakers in the field of library and information science. Keywords artificial intelligence, information retrieval, libraries, technology, user experience, research methodology, literature review.

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 information retrieval processes within library settings. In recent years, AI technologies have been increasingly integrated into various sectors, including libraries, to enhance efficiency and user experience. This study seeks to explore how AI applications, such as natural language processing, machine learning, and data mining, are transforming traditional information retrieval methods in libraries. The research will begin with a comprehensive literature review to examine existing studies and theories related to AI in libraries and information retrieval. This review will provide a theoretical foundation for understanding the current landscape and potential implications of AI technology in library settings. By synthesizing previous research findings, this study will identify gaps in the literature and establish a framework for investigating the impact of AI on information retrieval processes. Following the literature review, the research methodology will involve a combination of qualitative and quantitative approaches to collect and analyze data. Data collection methods may include surveys, interviews, and observations conducted with librarians, information professionals, and library users. These data collection techniques will help capture diverse perspectives on how AI technologies are being implemented and experienced in libraries. The findings of this study will be presented and discussed in detail to highlight the key insights and implications for library practice and research. By analyzing the data collected, the research aims to identify the specific ways in which AI is influencing information retrieval processes, such as search algorithms, recommendation systems, and metadata organization. Additionally, the study will explore the challenges and opportunities associated with integrating AI technologies into library services and the potential impact on user satisfaction and information access. Overall, this research project seeks to contribute to the growing body of knowledge on the intersection of AI and information retrieval in libraries. By examining the current trends and future prospects of AI technology in library settings, this study aims to provide valuable insights for library professionals, researchers, and policymakers seeking to enhance information services through innovative technological solutions.