Matthew West wrote: (01)
> [MW] The first thing I would do is ask for a review of the models/ontologies
> developed. There are a number of quality checks that can be done that are
> independent of the subject area, the results of which can improve the
> utility of the models/ontologies. (02)
Since Howard avers that the community of domain experts has reviewed and
approved these models as accurate knowledge, I assume that Matthew is
suggesting some kind of "model quality" analysis. If there is published
agreement on best practices in modeling (by a large body of experts in
that field), then a team can be trained to employ those in doing the
model analyis. But I'm not aware of any such published agreement, and
the last thing the systems engineering models need is model analysis by
a self-appointed team with a consistent but not clearly appropriate
viewpoint. (03)
Howard, Matthew and others will recall the damage done to well-developed
domain models by a team of expert SQL database designers considered to
be "information modeling" experts in a not-so-distantly related ISO
activity. I can envisage coercion of the models to OWL/DL by
well-meaning model analysts who have a similar shortage of breadth in
their vision. (04)
So the question is: Where do the model analysis guidelines come from?
And how will the analysts work with the domain experts to understand the
intent when they don't like the structure of the ontology? (05)
-Ed (06)
--
Edward J. Barkmeyer Email: edbark@xxxxxxxx
National Institute of Standards & Technology
Manufacturing Systems Integration Division
100 Bureau Drive, Stop 8263 Tel: +1 301-975-3528
Gaithersburg, MD 20899-8263 FAX: +1 301-975-4694 (07)
"The opinions expressed above do not reflect consensus of NIST,
and have not been reviewed by any Government authority." (08)
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