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University of Illinois Urbana-Champaign

Interactive Knowledge-Based Systems for Improved Subject Analysis and Retrieval

Humphrey, Susanne M.

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https://hdl.handle.net/2142/1295

Description

Title
Interactive Knowledge-Based Systems for Improved Subject Analysis and Retrieval
Author(s)
Humphrey, Susanne M.
Issue Date
1990
Keyword(s)
  • Libraries --Automation
  • Expert systems (Computer science)
  • Artificial intelligence
  • Library science --Data processing
Date of Ingest
2007-07-10T17:47:54Z
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.
Publisher
Graduate School of Library and Information Science. University of Illinois at Urbana-Champaign.
Series/Report Name or Number
Clinic on Library Applications of Data Processing (27th : 1990)
ISSN
0069-4789
Type of Resource
text
Genre of Resource
Conference Paper / Presentation
Language
en
Permalink
http://hdl.handle.net/2142/1295
Copyright and License Information
Copyright owned by Board of Trustees of the University of Illinois. 1990.

Owning Collections

1990: Artificial intelligence and expert systems : will they change the library? PRIMARY
27th Clinic on Library Applications of Data Processing. Edited by F.W. Lancaster and Linda C. Smith