Oops! I meant to add that Sean's assessment matches mine, I think: (01)
> A data model assumes a set of entities, and the choice of which entity
> to use is implicit, both as natural language text in the data model, and
> in the input processes of the system embodying the data model. ...
>
> An ontology is a formal system of entities (typically a lattice), where
> the primary concern of the ontology modeller is to expose the aspects
> (characteristics, etc) of the entity which characterise it. ... (02)
That is exactly the distinction I make in Rule 2. (03)
> That being said, current description techniques (at least those powerful
> enough to formally describe an ontology) do not distinguish between
> characteristics belonging to a data model and those belonging to an
> ontology (as outlined above). This leads to the position that any system
> powerful enough to formally describe an ontology is the subject of
> ontology research, whether it is used to describe an ontology or a data
> model (2). (04)
And this is a more erudite/polite formulation of my Rule 1 -- that the
ideas are now (accidentally, ignorantly, or deliberately) conflated. (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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