[bit.listserv.pacs-l] Expert Systems in Libraries

NOTJPK@LSUVM.BITNET (JANE KLEINER) (02/02/90)

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Involvement with Expert Systems (ES) at LSU began about two years
ago when we started participating in a National Ag Library project
which focuses on text digitizing and ES. We sent a Reference Librarian
to NAL for training in the use of the ES shell 1stClass. Her project
was to develop an ES for Louisiana Aquaculture research - it was
completed last year. Researchers who have used the system like it.
Basically, it is a simple ES system. In development is an ES for
interlibrary loan requests verification. It will be used to train
graduate assistants & students in verifying practices. We plan to
include a component for problem verifications along with the
standard practices approaches.
Responses to your queries: La. Aquaculture (L'Aqua) is a public
access system; the ILL system will be for staff use.
Shell - 1stClass
Informal project team - several staff have contributed ideas;
one person coordinates.
ES team - Ref. Librns- a couple have technological expertise
on a level with our systems people.
Hardware - unfortunately limited to an IBM-XT - hope to get
to at least AT level within the year.
Barriers - though we are working on ES there are still barriers:
cost of more sophisticated equipment and lack of time for
ES efforts are the biggest problems.
Jane Kleiner, Louisiana State University

LACH@UKCC.BITNET (Michael J. Lach) (02/05/90)

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At the University of Kentucky Business library we are building an
"Expert System" of sorts using "Ask Sam" software.  What we are doing is
putting in answers to frequently asked questions in the Reference room
of the library for those times that we are unable to staff the ref. desk
with librarians.  Ask Sam is a text-based database software package
that allows you to search for strings in the text that might have
something to do with what you are looking for.  You can also use indexed
terms the would pertain to the answer being built.  The grad. assistant
enters the terms that he/she is looking for information about and the DB
pulls up records that may be of some help.  It is all pretty simple in
its approach, but it does work.