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From: baker@garfield (Michelle Baker)
Newsgroups: comp.ai
Subject: KEE vs other knowledge rep languages
Summary: Which is best?
Keywords: KEE, knowledge representation, ART, NIKL, KL-ONE
Message-ID: <6140@columbia.edu>
Date: 24 Jan 89 00:24:42 GMT
References: <931@novavax.UUCP>
Sender: news@columbia.edu
Reply-To: baker@garfield.UUCP (Michelle Baker)
Organization: Columbia University CS Department
Lines: 16


We are currently deciding on which knowledge representation language
to use for a fairly large research project.   Currently KEE seems to
be the candidate of choice but we are interested in comparing this to
some of the others, e.g. ART, NIKL, HYPERCLASS, etc.  

I am interested in any comments people might have on any of these
languages.  In addition I am trying to collect examples of the kinds
of things which are difficult to represent in each of the languages.
For example, NIKL has trouble representing attributes with multiple
values.

Thanks in advance.
Michelle Baker  BAKER@CS.COLUMBIA.EDU
Columbia University
New York, NY  10027