Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights (Advances in Library and Information Science) - Softcover

Softcover

ISBN 13: 9798369355947

Verlag: IGI Global, 2024

Inhaltsangabe

As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons. Traditional library management systems struggle to cope with the demands of modern users, resulting in inefficient resource allocation, limited accessibility, and disjointed user experiences. This disconnect between antiquated systems and evolving user expectations poses a significant barrier to libraries striving to remain relevant in an increasingly digital world. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights presents a comprehensive solution to this pressing problem. By integrating modern digital tools and technologies, libraries can revolutionize their information systems, enhancing accessibility, efficiency, and user satisfaction. This book offers practical insights and strategies for modernizing library services and operations, from digitizing physical resources to implementing advanced search algorithms and data analytics. Librarians, administrators, and technology providers will find invaluable guidance on navigating the complexities of digital transformation and maximizing the impact of their efforts.

Über diesen Titel

Über die Autorin bzw. den Autor

KR. Senthilkumar working as a Librarian in Sri Krishna Arts and Science College, Coimbatore. His most notable contributions to the field of E- Library and the Development of Library Web page. His research interests span both bibliometrics and Web 2.0. Much of his work has been on improving the understanding, design, and performance of Information systems, mainly through the application of E- Library, Survey, and Compare evaluation. In the Information Science arena, he has worked on TN Public Online Library. He has explored the presence and implications of self-similarity and heavy-tailed distributions in Open Source Journals. He has also investigated the implications of Web workloads for the design of scalable and no cost-effective Web Pages. In addition, he has made numerous contributions to research papers like Journals, Conference and Book Chapters.

Details zur Ausgabe

• Verlag: IGI Global
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 13: 9798369355947
• Einband: Taschenbuch
• Anzahl der Seiten: 356
• Herausgeber: Senthilkumar K. R., Jagajeevan R.
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland