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Expert Systems in Document Delivery: The Feasibility of Learning Capabilities

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Title: Expert Systems in Document Delivery: The Feasibility of Learning Capabilities
Author(s): Pontigo, Jaime; Tovar-Reyes, Ezequiel; Rodriguez, Guillermo; Ortiz-Gama, Sergio
Subject(s): Libraries --Automation Expert systems (Computer science) Artificial intelligence Library science --Data processing
Abstract: To solve the problem of document delivery in Mexico, the authors developed SEADO (Expert System for Document Supply). SEADO consists of three main components: a knowledge base, an expert system shell, and the database. The knowledge base was built through fault tree analysis and through structured flowcharts. The shell was developed with EXSYS, a generalized expert system development package. The database was based on information sources of various kinds: printed material, local databases, public databases, etc. To evaluate the impact of different learning capabilities, the authors decided to test alternative ways of achieving a predictor for the system to perform in a dynamic and adaptive way. Learning by a weighted-based scheme was compared with a probability-based scheme.
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: 254-266.
Series/Report: Clinic on Library Applications of Data Processing (27th : 1990)
Genre: Conference Paper / Presentation
Type: Text
Language: English
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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