Thesis Abstract

Abstract
The rapid advancements in technology, particularly in the field of artificial intelligence (AI), have brought about significant changes in various sectors, including libraries and information science. This research study aims to explore the impact of artificial intelligence on information retrieval in libraries. The integration of AI technologies in library systems has revolutionized traditional methods of information organization and retrieval, offering new opportunities for enhancing user experiences and optimizing library services. Chapter One of this thesis provides an introduction to the research topic, highlighting the background of the study, the problem statement, objectives, limitations, scope, significance, and structure of the thesis. The chapter also includes definitions of key terms relevant to the research. Chapter Two presents a comprehensive literature review that examines existing studies, theories, and technologies related to artificial intelligence and information retrieval in libraries. The review encompasses ten key areas, including the evolution of AI in libraries, AI applications in information retrieval, user experience enhancements, challenges and opportunities, and future trends. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter includes discussions on the research approach, data sources, and tools used to collect and analyze data. Chapter Four presents an in-depth discussion of the research findings, focusing on the impact of artificial intelligence on information retrieval in libraries. The chapter highlights key findings, trends, challenges, and implications for library professionals, users, and stakeholders. It also includes insights into the effectiveness of AI technologies in improving information access and retrieval processes. Chapter Five serves as the conclusion and summary of the thesis, summarizing the key findings, implications, and contributions of the research study. The chapter concludes with recommendations for future research directions and practical applications of artificial intelligence in library information retrieval systems. Overall, this thesis contributes to the growing body of knowledge on the integration of artificial intelligence in libraries and its impact on information retrieval processes. The findings of this study provide valuable insights for library practitioners, researchers, educators, and policymakers seeking to leverage AI technologies to enhance information services and user experiences in libraries.

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 the fields of natural language processing, machine learning, and data analytics, there is a growing need to understand how these technologies can enhance and transform traditional library services. The research will delve into the current landscape of information retrieval practices in libraries and examine the potential benefits and challenges associated with integrating AI tools and techniques. By conducting a comprehensive literature review, the project will explore the existing research and initiatives that have sought to leverage AI for information retrieval in libraries, highlighting key trends, methodologies, and outcomes. Through the development of a research methodology, the project will investigate the practical implications of implementing AI solutions in library settings. This will involve defining specific research questions, selecting appropriate data collection methods, and designing experiments or case studies to evaluate the impact of AI on information retrieval processes. The findings of the study will be presented in a detailed discussion that examines the effectiveness of AI applications in improving the efficiency, accuracy, and user experience of information retrieval in libraries. By analyzing the results, the research aims to provide insights into the potential opportunities for optimizing library services through AI technologies and identify areas for further exploration and development. In conclusion, this project seeks to contribute to the growing body of knowledge on the intersection of AI and library science, shedding light on the transformative potential of AI in enhancing information retrieval practices. By exploring the impact of AI on libraries, the research aims to inform future strategies and recommendations for leveraging technology to meet the evolving needs of library users and stakeholders.