Thesis Abstract

Abstract
With the exponential growth of digital information, libraries are facing significant challenges in cataloging and classifying resources efficiently and accurately. This thesis explores the potential of Artificial Intelligence (AI) to revolutionize library cataloging and classification processes. The aim of this research is to investigate the effectiveness of AI technologies in enhancing these essential library functions, ultimately improving access to information for 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 chapter sets the stage for the exploration of AI applications in library settings. Chapter Two presents a comprehensive literature review that examines existing research on AI technologies in library science. The review covers topics such as machine learning, natural language processing, and computer vision in the context of library cataloging and classification. It synthesizes current knowledge and identifies gaps in the literature. Chapter Three outlines the research methodology employed in this study. It details the research design, data collection methods, AI tools and techniques utilized, sampling procedures, and data analysis strategies. The chapter provides a transparent overview of how the research was conducted. Chapter Four presents the findings of the research, highlighting the impact of AI on library cataloging and classification processes. Through empirical analysis and case studies, this chapter demonstrates how AI technologies can streamline workflows, improve accuracy, and enhance resource discovery in libraries. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and offering recommendations for future studies in this area. The conclusion underscores the significance of integrating AI into library operations and the potential benefits for both librarians and library users. Overall, this thesis contributes to the growing body of literature on the intersection of AI and library science. By investigating the application of AI technologies in library cataloging and classification, this research sheds light on innovative approaches to information organization and retrieval in the digital age. The findings of this study have practical implications for libraries seeking to leverage AI for more efficient and effective resource management.

Thesis Overview

The project titled "Utilizing Artificial Intelligence for Enhancing Library Cataloging and Classification Processes" aims to explore the application of artificial intelligence (AI) in improving the efficiency and accuracy of library cataloging and classification processes. This research seeks to address the challenges faced by libraries in managing and organizing vast amounts of information, particularly in the digital age where the volume of data is rapidly increasing. The use of AI technologies, such as machine learning algorithms and natural language processing, offers promising solutions to streamline and enhance traditional library processes. By leveraging AI, libraries can automate repetitive tasks, improve search and retrieval functionalities, and enhance the overall user experience for patrons accessing library resources. This research project will involve a comprehensive literature review to examine existing studies, methodologies, and technologies related to AI in library science. Through a systematic analysis of current trends and advancements in the field, the study aims to identify best practices and potential areas for improvement in library cataloging and classification. The research methodology will include data collection, analysis, and experimentation to evaluate the effectiveness of AI tools in enhancing library processes. By conducting case studies and user surveys, the project aims to assess the impact of AI-driven solutions on cataloging accuracy, information retrieval speed, and user satisfaction. The findings of this research will contribute valuable insights to the field of library and information science, shedding light on the benefits and challenges of integrating AI technologies into traditional library workflows. By highlighting the potential of AI to revolutionize library services, this project seeks to provide practical recommendations for libraries looking to optimize their cataloging and classification processes in the digital era.