Thesis Abstract

Abstract
The advent of artificial intelligence (AI) has brought about significant transformations in various sectors, including libraries and information science. This study explores the impact of AI on information retrieval in libraries, focusing on the opportunities and challenges presented by this technology. The research investigates how AI technologies such as machine learning, natural language processing, and data mining are reshaping the information retrieval process in libraries, enhancing efficiency, accuracy, and user experience. Chapter 1 provides an introduction to the study, including the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter 2 offers a comprehensive literature review, discussing ten key aspects related to AI and information retrieval in libraries. Chapter 3 outlines the research methodology, detailing the research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and potential limitations. Chapter 4 presents a detailed discussion of the findings, analyzing the impact of AI on information retrieval in libraries based on empirical data and theoretical frameworks. The chapter explores the implications of AI technologies on library services, information organization, user interactions, and future trends in the field. In conclusion, Chapter 5 summarizes the key findings of the study, highlighting the implications for practice, policy, and future research directions. The research contributes to the growing body of knowledge on the integration of AI in library and information science, offering insights into the transformative potential of AI technologies in enhancing information retrieval processes. Overall, this study underscores the importance of embracing AI innovations in libraries to meet the evolving needs of users and ensure the continued relevance and effectiveness of library services in the digital age.

Thesis Overview

The project titled "The impact of artificial intelligence on information retrieval in libraries" aims to investigate the influence of artificial intelligence (AI) on the methods and processes of information retrieval within library settings. In recent years, AI technologies have rapidly advanced, offering new opportunities for enhancing information services and transforming traditional library practices. This research seeks to explore how AI tools and techniques are being utilized in libraries to improve the efficiency, effectiveness, and user experience of information retrieval. The study will begin with a comprehensive review of the existing literature on AI applications in libraries, highlighting the various ways in which AI is currently being used for information retrieval purposes. This literature review will provide a solid foundation for understanding the potential benefits and challenges associated with integrating AI into library systems. The research methodology will involve a combination of qualitative and quantitative approaches, including surveys, interviews, and case studies with librarians, information professionals, and library users. By gathering data from multiple sources, the study aims to capture a holistic view of the impact of AI on information retrieval practices in libraries. The findings of this research will be presented in detail in the discussion chapter, where the implications of the study results will be analyzed and interpreted. The discussion will explore the ways in which AI technologies can optimize search algorithms, streamline cataloging processes, personalize user recommendations, and enhance overall information access within libraries. In conclusion, this research will provide valuable insights into the current state of AI adoption in libraries and its effects on information retrieval. By shedding light on the opportunities and challenges presented by AI technologies, the study aims to contribute to the ongoing conversation on how libraries can leverage AI to better serve their patrons and adapt to the evolving information landscape.