Thesis Abstract

<p> This study aims to explore the implementation of artificial intelligence (AI) in library cataloging and classification processes. It will investigate the potential of AI technologies, such as machine learning and natural language processing, to automate and optimize the cataloging and classification of library materials. The research will employ a mixed-methods approach, combining technical analysis of AI applications with qualitative assessments of user experiences and librarian perspectives. By examining the implementation of AI in library cataloging and classification, this study seeks to provide insights into the opportunities, challenges, and best practices for leveraging AI to enhance library services. <br></p>

Thesis Overview

<p> </p><div><div><div><div><div>The integration of artificial intelligence (AI) technologies in library operations has the potential to revolutionize traditional cataloging and classification processes, offering opportunities to enhance the efficiency, accuracy, and user experience of library services. This study seeks to investigate the implementation of AI in library cataloging and classification, aiming to provide a comprehensive understanding of the opportunities, challenges, and best practices associated with leveraging AI to optimize information organization and retrieval within library collections.</div><div>Library cataloging and classification have long been fundamental to the organization and accessibility of information resources, enabling users to locate relevant materials efficiently. However, these processes often require significant human effort and expertise, leading to challenges in managing large and diverse collections. The emergence of AI technologies, including machine learning algorithms and natural language processing, presents new possibilities for automating and improving these tasks, potentially streamlining workflows and enriching the discoverability of library holdings.</div><div>This research aims to explore the current landscape of AI implementation in library cataloging and classification, encompassing the technical aspects of AI tools, user perspectives, and the implications for library professionals. By conducting a mixed-methods investigation, this study seeks to provide insights into the practical applications of AI in information organization, the impact on user experiences, and the ethical considerations associated with AI implementation in library settings.</div><div>The findings of this research endeavor to contribute to the development of best practices for effectively implementing AI in library cataloging and classification, offering recommendations for library professionals seeking to leverage AI technologies to enhance information organization and retrieval. Furthermore, this study aspires to shed light on the potential future directions and trends in AI-enhanced library services, providing valuable insights for libraries aiming to stay at the forefront of technological innovation in information management.</div><div>Ultimately, the integration of AI in library cataloging and classification has the potential to reshape the landscape of library services, offering opportunities to optimize workflows, improve resource discoverability, and enhance user access to information. This study seeks to provide a comprehensive exploration of the opportunities and challenges associated with AI implementation in library settings, aiming to inform and guide library professionals in leveraging</div></div><div><div><div><div><div></div></div><div><div></div></div></div><div><div><div></div></div><div><div></div></div><div><div></div></div></div></div></div></div></div></div><div><div><br> </div></div><br><p></p>