Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in library and information science has transformed traditional information retrieval processes. This thesis investigates the impact of AI on information retrieval in libraries, focusing on how these technologies enhance search efficiency, user experience, and information accessibility. The study explores the current state of AI applications in libraries, identifies challenges and opportunities, and provides insights into the future implications of AI in information retrieval. Chapter One introduces the research topic, providing background information on AI in libraries and defining the problem statement. The objectives of the study are outlined, along with the limitations and scope of the research. The significance of the study is highlighted, and the structure of the thesis is presented, concluding with a definition of key terms. Chapter Two presents a comprehensive literature review on AI technologies in library settings. The review covers topics such as machine learning algorithms, natural language processing, chatbots, recommendation systems, and data analytics. The chapter discusses the benefits and limitations of AI in information retrieval, highlighting key studies and trends in the field. Chapter Three details the research methodology employed in the study. This chapter includes sections on research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter provides a detailed overview of the research process, ensuring the validity and reliability of the study findings. Chapter Four presents a thorough discussion of the research findings, analyzing the impact of AI on information retrieval in libraries. The chapter examines case studies and examples of AI implementation in library systems, discussing the outcomes and implications for library users and staff. The chapter also addresses challenges and future research directions in the field. Chapter Five offers a conclusion and summary of the research thesis. The chapter summarizes the key findings, discusses the implications of the study, and provides recommendations for future research and practice. The conclusion highlights the potential of AI technologies to revolutionize information retrieval in libraries, emphasizing the importance of ongoing research and innovation in this area. Overall, this thesis contributes to the understanding of how AI is reshaping information retrieval processes in libraries. The research findings offer valuable insights for library professionals, researchers, and policymakers seeking to leverage AI technologies to enhance information services and meet the evolving needs of library users in the digital age.

Thesis Overview

The project titled "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. With the rapid advancements in AI technologies, particularly in natural language processing and machine learning, there has been a growing interest in understanding how these technologies can enhance the efficiency and effectiveness of information retrieval in libraries. This research will delve into the current landscape of information retrieval practices in libraries and explore how AI tools and techniques can be leveraged to optimize these processes. By conducting a comprehensive literature review, the study will provide insights into the existing challenges and opportunities in information retrieval within library environments. The methodology chapter will outline the research design, data collection methods, and analysis techniques employed to investigate the impact of AI on information retrieval. This will include the selection of relevant AI models, datasets, and evaluation metrics to assess the performance of AI-driven information retrieval systems in comparison to traditional methods. The findings chapter will present the results of the research, highlighting the strengths and limitations of AI applications in information retrieval within libraries. Through a detailed analysis of the data collected, the study aims to identify key factors that contribute to the effectiveness of AI technologies in enhancing information retrieval processes. The discussion chapter will provide a critical analysis of the findings, offering insights into the implications of the research outcomes for the field of library and information science. It will also address the potential challenges and ethical considerations associated with the integration of AI in library services. In conclusion, this research project will contribute to the existing body of knowledge on the impact of artificial intelligence on information retrieval in libraries. By exploring the potential benefits and limitations of AI technologies in this context, the study aims to inform practitioners and researchers about the evolving role of AI in transforming information access and retrieval services within library settings.