Does anyone have any tools that go from raw data to produce Ontologies
as output or even proto-ontologies as outputs that humans can then edit
and refine? (01)
On 3/2/11 12:50 PM, Jack Ring wrote:
> Quite so.
> That's why helping them understand their enterprise as a system, hopefully an
>intelligent system, gives them the perspective to grok the strange
>distinctions that ontologists need to make.
> This starts with a little semantic modeling; then activity modeling of the
>problematic situation (customers, markets, competitors, etc., and Their
>customers, markets, competitors, etc.,); then formulating an intervention
>strategy for serving unmet, even unrecognized, market needs better than can
>competitors and rivals; then design/architecture of To Be enterprise; then
> teasing out the infrastructure and modularization. All this must precede the
>development on ontology (because ontology is a major facet of infrastructure).
>
> Ways of accomplishing intelligent enterprise systems architecting and
>engineering are being evovled.
>
> Unfortunately the NOISE created by Business Process Management, Knowledge
>Management, Business Rules management, Enterprise Architecture Frameworks (for
>paint-by-numbers, i.e., ignorant, enterprises), etc., is precluding rapid
>development of this capability.
>
> Meanwhile, there are already places that have recognized the need for
>intelligent infrastructure. These are the current market targets for ontology
>insertion. In general, it is any enterprise or market wherein He Who Learns
>Fastest Wins. Specific examples are Military Intelligence, Business
>Intelligence, Conference Management (evolving to social network interlocutor),
>Learning Management (as modern education of youth is finally freed from
>government intervention), and Autonomous System engagement management.
>Personalized, Molecular-level medicine may become the Killer App.
>
> Make sense?
>
> On Mar 2, 2011, at 10:10 AM, John F. Sowa wrote:
>
>> Jack and Mike,
>>
>> I agree with that point, but I'd like to add some qualifications:
>>
>> JR
>>> The primary purpose of a semantic model is to facilitate knowledge
>>> exchange and choice making in a gaggle of humans in hopes of
>>> morphing the gaggle into a system. A key usage is to inform the
>>> development of an executable ontology, e.g., application software,
>>> for automation of information flow and decision. Another key purpose
>>> is to provide a basis for objective assessment of enterprise
>>> situation (aka evidence-based management).
>> MU
>>> Yes, this is the kind of thing I'm after.
>> The primary qualification is that the "gaggle of humans" can only
>> agree on what they understand. The people who work in a field
>> can all agree that a list of familiar words, as documented in
>> their familiar texts, cover their familiar subject matter.
>>
>> But when ontologists start to axiomatize those terms in some
>> arcane notation based on some arcane distinctions about
>> endurants, perdurants, continuants, etc., all bets are off.
>>
>> John
>>
>>
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