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dc.contributor.authorBailey, Charles W.
dc.date.accessioned2005-11-16T00:00:01Z
dc.date.available2010-06-18T23:44:39Z
dc.date.issued1991en_US
dc.date.submitted2005-11-16en_US
dc.identifier.citationIntelligent Library Systems: Artificial Intelligence Technology and Library Automation Systems 1991,en_US
dc.identifier.urihttp://hdl.handle.net/10150/106334
dc.description.abstractArtificial Intelligence (AI) encompasses the following general areas of research: (1) automatic programming, (2) computer vision, (3) expert systems, (4) intelligent computer-assisted instruction, (5) natural language processing, (6) planning and decision support, (7) robotics, and (8) speech recognition. Intelligent library systems utilize artificial intelligence technologies to provide knowledge-based services to library patrons and staff. This paper examines certain key aspects of AI that determine its potential utility as a tool for building library systems. It discusses the barriers that inhibit the development of intelligent library systems, and it suggests possible strategies for making progress in this important area. While all of the areas of AI research indicated previously may have some eventual application in the development of library systems, this paper primarily focuses on a few that the author judges to be of most immediate significance--expert systems, intelligent computer-assisted instruction, and natural language applications. This paper does not discuss the use of AI knowledge-bases in libraries as subject-oriented library materials.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectArtificial Intelligenceen_US
dc.subject.otherartificial intelligenceen_US
dc.subject.otherexpert systemsen_US
dc.subject.otherintelligent computer-assisted instructionen_US
dc.subject.othernatural language applicationsen_US
dc.titleIntelligent Library Systems: Artificial Intelligence Technology and Library Automation Systemsen_US
dc.typePreprinten_US
refterms.dateFOA2018-08-21T17:28:08Z
html.description.abstractArtificial Intelligence (AI) encompasses the following general areas of research: (1) automatic programming, (2) computer vision, (3) expert systems, (4) intelligent computer-assisted instruction, (5) natural language processing, (6) planning and decision support, (7) robotics, and (8) speech recognition. Intelligent library systems utilize artificial intelligence technologies to provide knowledge-based services to library patrons and staff. This paper examines certain key aspects of AI that determine its potential utility as a tool for building library systems. It discusses the barriers that inhibit the development of intelligent library systems, and it suggests possible strategies for making progress in this important area. While all of the areas of AI research indicated previously may have some eventual application in the development of library systems, this paper primarily focuses on a few that the author judges to be of most immediate significance--expert systems, intelligent computer-assisted instruction, and natural language applications. This paper does not discuss the use of AI knowledge-bases in libraries as subject-oriented library materials.


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