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Title:Interactive Knowledge-Based Systems for Improved Subject Analysis and Retrieval
Author(s):Humphrey, Susanne M.
Subject(s):Libraries --Automation
Expert systems (Computer science)
Artificial intelligence
Library science --Data processing
Abstract:A knowledge-based, or expert, system encoding both factual and procedural knowledge to assist users in performing an intellectual task is ideally suited to indexing. Existing thesauri, classification schemes, and indexing manuals are a good starting point, and artificial intelligence (AI) computer languages and data structures seem well suited for development of these systems. In addition, currently available workstation environments (with windows and mouse) and standard software (such as X Windows) should make possible sophisticated and portable interfaces. A unique prototype, the MedlndEx System, is being developed to assist people using the Medical Subject Headings (MeSH ) thesaurus to index the MEDLINE database in MEDLARS (Medical Literature Analysis and Retrieval System) at the National Library of Medicine (NLM). MedlndEx is, in principle, applicable to any indexing system using a thesaurus and following a body of indexing rules.
Issue Date:1990
Publisher:Graduate School of Library and Information Science. University of Illinois at Urbana-Champaign.
Citation Info:In F.W.Lancaster and L.C.Smith, ed. 1990. Artificial intelligence and expert systems : will they change the library? Papers presented at the 1990 Clinic on Library Applications of Data Processing. Urbana, Il: Graduate School of Library and Information Science: 81-117.
Series/Report:Clinic on Library Applications of Data Processing (27th : 1990)
Genre:Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/1295
ISBN:0-87845-084-X
ISSN:0069-4789
Publication Status:published or submitted for publication
Rights Information:Copyright owned by Board of Trustees of the University of Illinois. 1990.
Date Available in IDEALS:2007-07-10


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