Deriving the information for an ontology is a double translation
problem. First, you must understand the structure of the ontology to
be created. This is a task in and of itself because the SME's view
is uninformed in terms of ontological structure. But, because the
SME doesn't understand ontologies, he/she is not able to respond to
questions in ways that are directly useful, so a translation must be
done for each entity in the ontology.
A posting on FastML describes how one scientist addressed the
problem in designing an ontology for the decision process for kidney
transplants: he became the SME. The article was taken from Love and Math, a book
by Edward Frenkel.
Here is an excerpt from the article:
"I looked at the data. Like in our previous projects, there were
about forty different parameters measured for each patient. During
our regular meetings, I would ask Sergei pointed questions, trying
to figure out which of these data were relevant and which weren’t.
But this was hard. Like other doctors, he would give his answers
based on specific cases, which was not very helpful.
I decided to use a different approach. I thought, “This man makes
these kinds of decisions every day, and obviously he is very good
at it. What if I manage to learn to ‘be him’? Even if I don’t know
much about the medical aspects of the problem, I could try to
learn his methodology following his decision-making process, and
then I could use this knowledge to come up with a set of rules.”
If you would like to read the remainder, the article is at:
http://fastml.com/how-a-russian-mathematician-constructed-a-decision-tree-by-hand-to-solve-a-medical-problem/
-John Bottoms
FirstStar Systems
Concord, MA
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