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Re: [ontology-summit] PLEASE, PLEASE!!

To: Ontology Summit 2007 Forum <ontology-summit@xxxxxxxxxxxxxxxx>
From: Chris Welty <cawelty@xxxxxxxxx>
Date: Mon, 05 Mar 2007 20:04:38 -0500
Message-id: <45ECBE26.4060608@xxxxxxxxx>

Agreed.  I hear enough of this crap elsewhere, let's focus on ontology.    (01)

-Chris    (02)

Nicola Guarino wrote:
> Folks,
> 
> these discussions are very nice, but I don't think they are directly 
> related to the main focus of this list, i.e. the Ontology Summit 2007, 
> which is supposed to concentrate on the question "what is an ontology".
> 
> I am already having a VERY hard time following the ontology summit 
> discussion, and these recent messages don't really help to keep the 
> discussion focused. 
> 
> I am afraid I have just to give up any kind of active presence if the 
> discussion on this list goes out of its main focus.
> 
> Best,
> 
> Nicola
> 
> On 5 Mar 2007, at 22:31, John F. Sowa wrote:
> 
>> Leo,
>>
>> To continue my point that efficiency *always* depends
>> on what you're trying to do, I would like to address the
>> problem of finding a consistent set of constraints:
>>
>>> I, as usual, recommend the
>>> description logic complexity navigator:
>>>    http://www.cs.man.ac.uk/~ezolin/logic/complexity.html
>>
>> Given a set of arbitrary first-order constraints, the problem
>> of proving consistency is NP complete.  Yet every SQL database
>> permits arbitrary first-order constraints.
>>
>> Q: How is possible to prove that the constraints are consistent?
>>
>> A: Trivially.
>>
>> The point is that no database designer *ever* begins with
>> an arbitrary set of constraints.  They *always* begin with
>> some actual data -- a sample DB that shows what kind of data
>> they expect to work with.
>>
>> That sample DB consists of a set of entities and a set of
>> relations that are assumed to be true of those entities.
>> In other words, the starting point is a Tarski-style model.
>>
>> Although *finding* a model is NP complete, the task of
>> *checking* constraints is trivial, if a model is given.
>>
>> Given a proposed set of first-order constraints that do not
>> depend on any recursive definitions -- i.e., anything expressible
>> in SQL WHERE clauses -- the evaluation time in terms of a sample
>> model takes, in the worst case -- polynomial time.
>>
>> If all the constraints turn out to be true of the model, then
>> they are consistent.  If any of them turn out to be false,
>> either throw them away or revise them to make them true.
>>
>> Bottom line:  If you're trying to define axioms or definitions
>> for an ontology, a database, or a knowledge base, it's a good
>> idea to start with at least one illustrative example.
>>
>> John
>>
>>
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> 
> 
> 
> 
> -----------------------------------------------------------------------------
> 
> Nicola Guarino
> 
> Editor in Chief, Applied Ontology (IOS Press)
> 
> Head, Laboratory for Applied Ontology (LOA), ISTC-CNR
> 
> Institute for Cognitive Sciences and Technologies
> 
> National Research Council 
> 
> 
> mobile:     +39 333 5865383
> 
> email:     guarino@xxxxxxxxxx <mailto:guarino@xxxxxxxxxx>
> 
> web site:  http://www.loa-cnr.it
> 
> 
> 
> 
> ------------------------------------------------------------------------
> 
>  
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-- 
Dr. Christopher A. Welty                    IBM Watson Research Center
+1.914.784.7055                             19 Skyline Dr.
cawelty@xxxxxxxxx                           Hawthorne, NY 10532
http://www.research.ibm.com/people/w/welty    (04)

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