Project Abstract

Abstract
The field of Library and Information Science has witnessed significant advancements with the integration of Artificial Intelligence (AI) technologies. This research project explores the potential of utilizing AI for enhancing library cataloging and classification systems. The primary objective is to investigate how AI can streamline and improve the efficiency and accuracy of cataloging and classification processes in libraries. The research methodology involves a comprehensive literature review to examine existing studies, methodologies, and technologies related to AI applications in library settings. Additionally, empirical data will be collected through surveys and interviews with library professionals to understand their perspectives on the integration of AI in cataloging and classification tasks. Chapter one provides an introduction to the research topic, background information, problem statement, objectives, limitations, scope, significance, structure of the research, and definitions of key terms. Chapter two presents a detailed literature review covering ten key aspects related to AI applications in library cataloging and classification systems. This chapter explores the current state of the art, challenges, and opportunities in this area. Chapter three outlines the research methodology, including the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also describes the process of survey and interview design, data validation, and reliability measures to ensure the credibility of the findings. Chapter four presents the discussion of findings based on the analysis of empirical data collected from surveys and interviews. This chapter examines the perceptions, challenges, and potential benefits of integrating AI technologies in library cataloging and classification systems. The findings are discussed in relation to existing literature and theoretical frameworks to provide insights into the practical implications of AI adoption in libraries. Finally, chapter five concludes the research project by summarizing the key findings, implications, and recommendations for future research and practice. The conclusion highlights the significance of AI in enhancing library cataloging and classification systems, as well as the potential impact on library services, user experiences, and information access. Overall, this research contributes to the growing body of knowledge on AI applications in Library and Information Science and provides valuable insights for library professionals, researchers, and policymakers looking to leverage AI technologies for improving library services and operations.

Project Overview