Re: web to semantic web : an automated approach

well well
interesting dilemma,( a discussion possibly pertaining to another list?)

/digress/

> if ontology is finite and well defined then it won't be complete and if its
> not well defined and not finite, well then i would say its not an ontology.

I think Ravinder, that its worth distinguishing 'Ontology' from
'ontology' (sorry folks, I dont remember who said this, was it Tom, or
Michael?) where by the first is the metaphysical representation  of
'what there is' with no particular limitation in scope - everything
which exists is part of it - which however in absolute terms is
imponderable , and the second refers to a subset of what there is, aka
domain ontology, limited by the domain boundary, which supports
limited reasoning within a certain scope

we only know what we think there is, based on our cognitive and
perception abilities,  and what we can prove exists, to some extent,
based on some notion of logic and scientific method

when I go to the shop to buy milk, I have no assurance that they have
not run out, until I
get there. However, I get dressed, take the umbrella if its raining,
walk to the shop nonetheless, based on an hypothesis, a likely
assumption that the shop has the milk that I require

Afteer a couple of times I dont find t, I try to understand the
pattern - say, at what time does the milk tend to run out , and think
of a solution, ie go earlier, or ask them shop to keep some aside for
me et - the powerful human mind would look for a cause of the problem
and a for a solution implicitly. it would build a mental picture of
the situation, and lead to an adjustment in behaviour to avoid the
problem - very simple, very normal, very implicit capablity of the
mind

Ontology is the schema of things that the human mind adopts as
reference for reasoning to take place,  human knowledge representation
is highly dynamic, capable of adjusting and expanding

To build machines capable of replicating even this simple intelligent
behaviour requires simulating the realm of assumptions, axioms and
possibilities that only the human mind can do intriscally. So ontology
engineering came about, in the attemp to support intelligent systems
behaviours. (build me an intelligent butler please)

the interesting part is that ontology engineering is exploring ways of
developing 'learning ontologies', that is ontologies that can evolve
and adapt and expand their boundaries

it will be really exciting when different domain ontologies will be
able to interact with each other



/digress ends/

Received on Friday, 24 October 2008 04:49:05 UTC