On Sep 15, 2008, at 12:50 PM, Chris Mungall wrote: (01)
>
> On Sep 15, 2008, at 9:48 AM, Pat Hayes wrote:
>
>> Could you briefly outline what these 'pitfalls' are? So far, formal
>> logic seems to me to be doing rather well. All the extent work in
>> applied ontology (and I really do mean ALL) is based on techniques
>> and
>> analytical tools developed by formal logicians.
>
> Do you really mean ALL?
>
> I guess the truth of the statement depends on how you define "applied
> ontology".
> (02)
Probably. I was intending to refer to work involving actual nontrivial
ontologies, rather than simply taxonomies or databases re-named using
the "O" word. (03)
> Almost all the real-world applications of ontologies I am aware of (in
> bioinformatics) are in the realm of data mining. (04)
That is one important application. But let me ask: which bioinformatic
ontologies does this work utilize? How are they expressed? What kinds
of semantics applies to the languages in which the ontologies are
written? (05)
> The extant work is
> largely done - for better or for worse - using techniques and tools
> developed by stats and probabilistic modeling savvy folks who wouldn't
> know a modus ponens from a modus tollens. (06)
No doubt many programs are written by folk who wouldnt know a hash
table from a shopping list, but nevertheless, the tools they use
wouldn't work unless based on technology developed by people who do. A
similar point seems to apply here. (07)
Pat (08)
>
>
>> Pat Hayes
>
>
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> (09)
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