Hello Rich, (01)
you can start with a problem and search a technology to solve it or you can
start with a technology and search a problem to use it. Both approaches can
lead to innovation but the second approach more often does not - or creates
additional problems. (02)
> Could a genetic ontology be useful for mapping the
> disease biochemistry and environmental exposures
> to genetic profiles? (03)
Sounds more like a bunch of ontologies. (04)
The data you are talking about is out there and scientists apparently have
tools to work with it. Maybe some of them are already ontology-based - life
sciences seem to be quite adventurous in this regard. (05)
But why should ontology-based tools be better than the tools already used ?
You would have to have a close look at those tools and the problems they
solve to answer that question. (06)
A data model is not an ontology because it serves the needs of a specific
application. But what needs does an ontology serve ? This data model /
ontology distinction puzzles me more and more. (07)
Regards, (08)
Michael Brunnbauer (09)
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