Artificial Intelligence and Expert Systems: Will They Change the Library?


Book Description

Some of the 12 conference papers presented in this proceedings focus on the present and potential capabilities of artificial intelligence and expert systems as they relate to a wide range of library applications, including descriptive cataloging, technical services, collection development, subject indexing, reference services, database searching, and document delivery. Other papers deal with the underlying design issues of knowledge representation and natural language processing. The papers are; (1) "Artificial Intelligence: What Will They Think of Next?" (Douglas P. Metzler); (2) "Technical Services Processes as Models for Assessing Expert System Suitability and Benefits" (Charles Fenly); (3) "Automated Cataloging: Implications for Libraries and Patrons" (Stuart Weibel); (4)"Interactive Knowledge-Based Systems for Improved Subject Analysis and Retrieval" (Susanne M. Humphrey); (5) "Reference Expert Systems: Foundations in Reference Theory" (James R. Parrott); (6) "Expert Systems at the National Agricultural Library: Past, Present, and Future" (Samuel T. Waters); (7) "User Models for Information Systems: Prospects and Problems" (Christine L. Borgman and Yolanda I. Plute); (8) "Natural Language Processing: Current Status for Libraries" (Amy Warner); (9) "Knowledge Representation in Artificial Intelligence" (Irene L. Travis); (10) "Intelligent Interfaces to Online Databases" (Brian C. Vickery); (11) "Expert Systems in Document Delivery: The Feasibility of Learning Capabilities" (Jaime Pontigo, Ezequiel Tovar-Reyes, Guillermo Rodriquez, and Sergio Ortiz-Gama); and (12) "Walking Your Talk: Why Information Managers Are Not High Tech" (W. David Penniman). An index and brief author biographies conclude the volume; chapters include references. (KRN)










Applications of Artificial Intelligence in Libraries


Book Description

With the constant evolution of technology, libraries must grapple with the urgent need to adapt or face obsolescence. The integration of artificial intelligence (AI) into library operations presents many new opportunities as well as a complex array of challenges. The traditional roles of libraries, as pillars of knowledge and information, are being reshaped by AI, compelling institutions to reassess their relevance in an ever-evolving digital landscape. The urgency of this intersection between libraries and AI is emphasized by the necessity to revolutionize outdated systems, and it is in this dynamic context that Applications of Artificial Intelligence in Libraries emerges as an essential guide. The book addresses the ethical implications of AI-enabled libraries, offering strategies for navigating privacy concerns and potential challenges in the implementation of AI. It serves as a strategic guide for evaluating the impact and effectiveness of AI initiatives, developing policies and practices centered around AI, and training librarians for the inevitable integration of AI into their roles. By fostering collaboration between librarians, researchers, and AI experts, this book aims to empower professionals to navigate the transformative journey that AI is ushering in for libraries, fostering innovation, collaboration, and the creation of more effective and user-centric library services.




Expert Systems: Tools and Applications


Book Description

The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.




Intelligent Technologies in Library and Information Service Applications


Book Description

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.










Artificial Intelligence and Machine Learning in Libraries


Book Description

This issue of Library Technology Reports argues that the near future of library work will be enormously impacted and perhaps forever changed as a result of artificial intelligence (AI) and machine learning systems becoming commonplace.