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As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons.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.
Limiting the scope of the study to currently operating artificial intelligence (AI) systems, Lancaster (library and information science, U. of Illinois) and Warner (Thesaurus Design Specialist, Argus Associates, Inc.) offer advice on what AI services can be applied to library and information services and speculate on what may become applicable in the near future. Among the applications discussed are cataloging, subject indexing, reference services, intelligent text processing, data mining, help desks, critiquing systems, speech technology, and computer vision. c. Book News Inc.