Expert Systems in Document Delivery: The Feasibility of Learning Capabilities
Author(s)
Pontigo, Jaime
Tovar-Reyes, Ezequiel
Rodriguez, Guillermo
Ortiz-Gama, Sergio
Issue Date
1990
Keyword(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.
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
Language
en
Permalink
http://hdl.handle.net/2142/1302
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