Thesis Abstract

Abstract
Artificial Intelligence (AI) has revolutionized various industries, and its potential impact on information retrieval in libraries is significant. This thesis explores the implications of AI technologies on information retrieval processes within library settings. The study aims to investigate how AI can enhance the efficiency and effectiveness of information retrieval in libraries, ultimately improving user experience and access to information resources. Chapter 1 provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter 2 offers a comprehensive literature review, examining ten key studies that highlight the role of AI in information retrieval and its relevance to library services. Chapter 3 outlines the research methodology employed in this study, including research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations. This chapter aims to provide a robust framework for conducting the research and analyzing the findings effectively. In Chapter 4, the discussion of findings delves into the empirical results obtained from the research, highlighting the impact of AI on information retrieval processes in libraries. The chapter explores the benefits and challenges associated with implementing AI technologies in library settings and offers insights into potential strategies for optimizing information retrieval systems. Finally, Chapter 5 presents the conclusion and summary of the thesis, emphasizing the key findings, implications for practice, and recommendations for future research. The study contributes to the growing body of knowledge on the integration of AI in library services and underscores the importance of leveraging AI technologies to enhance information retrieval capabilities within libraries. Overall, this thesis underscores the transformative potential of AI in reshaping information retrieval practices in libraries, paving the way for enhanced user experiences, improved access to information resources, and greater efficiency in library operations. By harnessing the power of AI, libraries can adapt to the evolving information landscape and meet the diverse information needs of their users 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 information retrieval practices within library settings. In recent years, AI technologies have been increasingly integrated into various sectors to enhance efficiency and decision-making processes. Libraries, as key repositories of knowledge, are also exploring the potential benefits of AI in improving information retrieval services for patrons. The research will delve into the background of AI and its applications in the library and information science field. It will address the growing importance of AI in automating and streamlining information retrieval processes, which can ultimately enhance user experience and accessibility to resources. By examining the current landscape of AI technologies in libraries, the study seeks to identify trends, challenges, and opportunities for further development in this area. One of the primary objectives of the research is to assess the impact of AI on information retrieval practices in libraries, including search algorithms, data analysis, and user interaction. Through a comprehensive literature review, the project will explore existing studies, frameworks, and best practices related to AI implementation in library settings. By synthesizing this information, the research aims to provide insights into the potential benefits and drawbacks of AI adoption for information retrieval services. The methodology section of the project will outline the research design, data collection methods, and analysis techniques employed to investigate the research questions. It will detail the process of data gathering, including surveys, interviews, and case studies with librarians, information professionals, and library users to gather diverse perspectives on the topic. The research will also leverage quantitative and qualitative analysis to evaluate the effectiveness of AI technologies in improving information retrieval outcomes. The findings chapter will present a detailed discussion of the research results, highlighting key insights, trends, and implications for library practitioners and policymakers. It will analyze the impact of AI on information retrieval efficiency, accuracy, and user satisfaction, drawing on empirical evidence and case studies to support the conclusions. The chapter will also address potential challenges and ethical considerations associated with AI implementation in libraries, offering recommendations for future research and practice. In conclusion, the project will summarize the key findings and contributions to the field of library and information science. It will reflect on the implications of AI technologies for information retrieval practices, user experiences, and professional roles within libraries. By shedding light on the evolving relationship between AI and libraries, the research aims to advance understanding and facilitate informed decision-making in leveraging AI for enhanced information retrieval services.