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Re: [ontolog-forum] Truth (and standards bodies)

To: ontolog-forum@xxxxxxxxxxxxxxxx
From: John F Sowa <sowa@xxxxxxxxxxx>
Date: Wed, 11 Jul 2012 10:12:39 -0400
Message-id: <4FFD89D7.7060800@xxxxxxxxxxx>
Michael,    (01)

> On the one hand, you want more expressive power and on the other hand,
> you say that most of the SW does not go beyond Aristotle.
> Do you really think without the "Decidability Thought Police", people
> would actually go beyond Aristotle ?    (02)

I believe that Tim B-L's proposal in 2000 could have led to a complete
suite of tools that would enable subject matter experts (SMEs) to go
far beyond Aristotle *without* having to learn any arcane notation:    (03)

    http://www.w3.org/2000/01/sw/DevelopmentProposal    (04)

> My fear is that the SW actually is an "expert system" - that you
> will always need ontology experts to get your data in.    (05)

I completely agree with you about the SW.  In fact, I think that
the current SW tools -- RDF(S) + OWL + SPARQL -- are a major step
*backwards* from the expert system tools of the 1980s.  They are
harder to use, less readable, and less powerful than the tools
of the 1980s.    (06)

See Slide 108 of my tutorial on Knowledge Design Patterns (copy below).
For more about my recommendations, see the readings in slide 130.    (07)

__________________________________________________________________    (08)

Slide 108 of http://www.jfsowa.com/talks/kdptut.pdf    (09)

                SIMPLIFYING THE USER INTERFACE    (010)

Tools like iPhone and Facebook help people do complex tasks without
forcing them to take a training course.    (011)

Those tools take advantage of their background knowledge.    (012)

The patterns of knowledge in any field are available in the documents,
web sites, and databases of that field.    (013)

Knowledge acquisition tools should derive the basic patterns from
the same sources as people.    (014)

Subject-matter experts should use their preferred languages and
diagrams to read and correct what the computer derives.    (015)

Zero training principle:    (016)

● SMEs should not take a training course from the computer.    (017)

● Instead, the computer system should learn from the SMEs and from
   the same sources as the SMEs.    (018)

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