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Re: [ontolog-forum] Data Models v. Ontologies (again)

To: <edbark@xxxxxxxx>, "[ontolog-forum] " <ontolog-forum@xxxxxxxxxxxxxxxx>
From: "Sharma, Ravi" <Ravi.Sharma@xxxxxxxxxxx>
Date: Wed, 21 May 2008 13:37:09 -0600
Message-id: <D09FFCFB3952074082D4280BC24EAFA8016E8F14@xxxxxxxxxxxxxxxxxxxxxxxxxx>
Ed 
While searching for "omphaloskepsis" I found the following (only text
reproduced here and not hierarchy (which would require HTML) :    (01)

WordNet Search - 3.0 - WordNet home page - Glossary - Help 
Word to search for: 
S: (n) omphaloskepsis, navel-gazing (literally, the contemplation of
one's navel, which is an idiom usually meaning complacent
self-absorption) 
direct hypernym / inherited hypernym / sister term 
S: (n) self-absorption (preoccupation with yourself to the exclusion of
everything else) 
S: (n) preoccupation (an idea that preoccupies the mind and holds the
attention) 
S: (n) idea, thought (the content of cognition; the main thing you are
thinking about) "it was not a good idea"; "the thought never entered my
mind" 
S: (n) content, cognitive content, mental object (the sum or range of
what has been perceived, discovered, or learned) 
S: (n) cognition, knowledge, noesis (the psychological result of
perception and learning and reasoning) 
S: (n) psychological feature (a feature of the mental life of a living
organism) 
S: (n) abstraction, abstract entity (a general concept formed by
extracting common features from specific examples) 
S: (n) entity (that which is perceived or known or inferred to have its
own distinct existence (living or nonliving))    (02)

Observation:
Introspection / Contemplation / Meditation / Yoga, etc.; such techniques
are hallmark of Eastern Philosophies for thousands of years. Connection
with "Naval-Gazing" above is at the "Kundalini" or resonating unison
with nature level - concept.
Interesting connection with Ontology and also above related definitions
for us to consider.    (03)

Thanks Ed for your use of the word omphaloskepsis !- Language / Origin?    (04)

Ravi    (05)

(Dr. Ravi Sharma) Senior Enterprise Architect    (06)

Vangent, Inc. Technology Excellence Center (TEC)    (07)

8618 Westwood Center Drive, Suite 310, Vienna VA 22182
(o) 703-827-0638, (c) 313-204-1740 www.vangent.com    (08)

Professional viewpoints do not necessarily imply organizational
endorsement.    (09)


-----Original Message-----
From: ontolog-forum-bounces@xxxxxxxxxxxxxxxx
[mailto:ontolog-forum-bounces@xxxxxxxxxxxxxxxx] On Behalf Of Ed
Barkmeyer
Sent: Wednesday, May 21, 2008 2:28 PM
To: [ontolog-forum]
Subject: Re: [ontolog-forum] Data Models v. Ontologies (again)    (010)

John F. Sowa wrote:
> Sean, Ed, Anders, Adrian, and Sharma,
> 
> I sympathize with your comments, but I'd like to make some points
> that may clarify some of the issues:
> 
>   1. Ontology is a theoretical field (essentially a branch of
>      philosophy), and data modeling is an engineering field.    (011)

I am going to put on my Pat Hayes mask and say that philosophical 
ontology is NOT what we are talking about here.  We are talking about 
knowledge engineering, and in that field, "ontology" is a term for a 
model of knowledge.    (012)

Knowledge engineering is an engineering field.  Thinking of it as 
fundamentally either philosophical or scientific in nature makes it more    (013)

difficult for the would-be practitioner to do it well.    (014)

>   2. Engineering fields frequently apply theories from more than
>      one branch of science.
> 
>   3. For data modeling, the theories include ontology, logic,
>      and a variety of theories developed in computer science
>      and information technology.    (015)

I fully agree.  And for knowledge engineering, which is also an 
engineering field, these same source disciplines also apply.    (016)

> EB> First rule: "ontology" is IN; "data model" is OUT.
> 
> I agree, but as one of the early adopters of the term 'ontology'
> (in my book that appeared in August 1983), I almost wish that I
> hadn't used the term.  I tend to cringe at the way people use
> it nowadays.    (017)

You and me both.  But this falls into the category of "grant me the 
patience to accept the things I cannot change."    (018)

> SB> Characteristics which may be important to a data modeler,
>  > such as the time an entity was added to the system, would not
>  > be significant to the ontologist, since the time the entity is
>  > added in no way helps identify what sort of thing the entity
>  > is (where in the lattice it sits).
> 
> That distinction is typical of an engineering discipline.
> An engineer must consider many requirements of an application
> that are outside the scope of various theories that are being
> applied.  Since an engineer will often use more than one theory
> in the design of any system, it will rarely happen that every
> aspect needed for the application is covered by every theory
> that is applied.
> 
> Sometimes an engineer's work will contribute to the scientific
> field on which it is based.  But it is always important to
> distinguish the goals of the scientists (or ontologists) from
> the goals of the engineers who apply their theories:
> 
>   - Science is the pursuit of knowledge, independent of any
>     particular application of that knowledge.
> 
>   - Engineering is the application of science for the purpose
>     of solving some problem within the limits of available
>     resources and deadlines.    (019)

Exactly.  And among those applications is the representation of 
scientific knowledge in a form suitable for automated reasoning.  That 
is what ontology engineers do, and it is not itself science.  Please 
don't confuse them.  I don't know what an ontologist is, but I think of 
it as some form of omphaloskepsis.  I do know what knowledge engineers
do.    (020)

-Ed    (021)

-- 
Edward J. Barkmeyer                        Email: edbark@xxxxxxxx
National Institute of Standards & Technology
Manufacturing Systems Integration Division
100 Bureau Drive, Stop 8263                Tel: +1 301-975-3528
Gaithersburg, MD 20899-8263                FAX: +1 301-975-4694    (022)

"The opinions expressed above do not reflect consensus of NIST,
  and have not been reviewed by any Government authority."    (023)

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