Thesis Abstract

Abstract
This thesis investigates the impact of artificial intelligence (AI) on information retrieval in libraries. The integration of AI technologies in library systems has transformed traditional information retrieval processes, offering new opportunities and challenges. This study aims to explore how AI influences the efficiency, accuracy, and user experience of information retrieval in libraries. The research methodology involves a comprehensive literature review, case studies, and surveys to gather insights from librarians, information professionals, and library users. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The literature review in Chapter Two examines ten key areas related to AI in libraries, including natural language processing, machine learning, recommendation systems, and chatbots. This chapter synthesizes existing research to establish a theoretical framework for understanding the impact of AI on information retrieval. Chapter Three outlines the research methodology, detailing the research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations of the study. The methodology aims to provide a rigorous and systematic approach to investigating the research questions and hypotheses. The findings from the research are discussed in Chapter Four, where the implications of AI on information retrieval in libraries are analyzed in depth. The chapter also explores the challenges and opportunities of implementing AI technologies in library settings. In conclusion, Chapter Five summarizes the key findings of the study, discusses the implications for theory and practice, and offers recommendations for future research and practical applications. The research contributes to the growing body of knowledge on AI in library and information science, providing valuable insights for librarians, information professionals, researchers, and policymakers. This thesis aims to foster a better understanding of how AI can enhance information retrieval processes in libraries, ultimately improving access to knowledge and information for library users.

Thesis Overview

The project "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 experienced significant advancements, offering new opportunities and challenges for information professionals in their efforts to efficiently manage and provide access to vast amounts of information. This research seeks to explore how AI can enhance information retrieval practices in libraries, ultimately improving the quality and efficiency of services provided to library users. The overview of this project will delve into the existing literature on AI applications in libraries and information science, highlighting the various ways in which AI technologies are being utilized to streamline information retrieval processes. By conducting a comprehensive review of relevant studies and theoretical frameworks, this research will provide a solid foundation for understanding the potential benefits and implications of integrating AI into library operations. Through a detailed examination of AI tools such as natural language processing, machine learning, and data analytics, this study will analyze how these technologies can be leveraged to enhance the accuracy, relevance, and speed of information retrieval in libraries. By investigating real-world case studies and examples of AI implementation in library settings, this research will offer valuable insights into the practical implications of adopting AI solutions for information professionals. Furthermore, this project will explore the challenges and limitations associated with the integration of AI in libraries, addressing concerns related to data privacy, algorithm bias, and user trust. By critically examining these issues, this research aims to provide recommendations and best practices for ensuring ethical and responsible use of AI in information retrieval processes within libraries. Overall, this research overview sets the stage for a comprehensive investigation into the impact of artificial intelligence on information retrieval in libraries, offering a multidimensional analysis of the opportunities, challenges, and implications of AI integration in library settings. Through a systematic and rigorous examination of this topic, this project aims to contribute valuable insights to the field of library and information science, guiding future research and practice in leveraging AI technologies to enhance information services for library users.