Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!cs.utexas.edu!uunet!mcvax!unido!uklirb!shell
From: uunet!usceast!mgv@unido.uucp (Marco Valtorta)
Newsgroups: comp.ai.shells
Subject: Re: Knowledge Engineering References
Message-ID: <5904@uklirb.UUCP>
Date: 18 Jun 89 17:55:22 GMT
Sender: shell@uklirb.UUCP
Organization: University of South Carolina, Columbia
Lines: 27
Approved: shell@uklirb.uucp
Posted-Date: Fri Jun 23 10:06:58 GMT 1989
In-Reply-To: <5353@uklirb.UUCP>

In article <5353@uklirb.UUCP> you write:

>Recently I've been searching for some references on the knowledge
>engineering process.  I'd appreciate receiving any information on
>methodologies for structuring the knowledge acquisition process
>(manual or automated) and then transforming that knowledge into an
>appropriate knowledge representation.  Information on using a
>top-down/structured approach with hueristics like "Define your object
>classes before writing the rules", "Start with defining declarative
>knowledge, then define procedural knowledge", "Group rules into 
>knowledge-islands", or "Only have one condition in the IF part of
>your rules" would be especially interesting.  Comparisons of
>methodologies(top-down vs. bottom-up) would also be very interesting.

I recommend that you look at the KADS methodology for knowledge
acquisition and structuring.  Write joost breuker at the
University of Amsterdam: ...!mcvax!swivax!breuker.

I would be interested in a summary of replies to your query.


Marco Valtorta			usenet: ...!ncrcae!usceast!mgv
Department of Computer Science	csnet: mgv@cs.scarolina.edu
University of South Carolina	tel.: (1)(803)777-4641
Columbia, SC 29208		tlx: 805038 USC
U.S.A.				fax: (1)(803)777-3065
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