Dear colleagues,
I also agree very much with John and Matthew concerning the importance of high quality ontologies, and on their observation that the quest for high quality data models in software engineering definitely reflects a sensitivity to important ontological aspects much higher than what we find in people just focusing on ontology languages.
In the light of this, I suggest to specify a bit more the overall theme of our Summit, which in my opinion could be "Making the case for ontological analysis" instead of "Making the case for ontology". An alternative could be "Making the case for high-quality ontologies".
The reason for this proposal should be self-evident, I believe. Deciding how much effort to put in developing a particular ontology is a crucial choice, and it is very important to distinguish the cases where a proper ontological analysis pays off, and is indeed a crucial aspect of success, from those where a "lightweight" approach is sufficient.
Just brainstorming...
Talk to you soon,
Nicola
On 9 Dec 2010, at 16:03, John F. Sowa wrote:
Dear Matthew and Peter,
MW:
... my forthcoming book “Developing High Quality Data Models”. Substitute
ontology for data model and the same argument applies. The benefits come
from improving and automating decision making through fit-for-purpose
information to support those decisions.
I very strongly agree. Software engineers have been doing ontology
(avant la lettre, as they say) for a very long time. And much of that
work has been very good -- sometimes much better than what people are
doing with so-called ontology languages.
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