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Bullard, Claude L (Len) wrote:
>Too far. It did work last time. AI systems, notably expert
>systems written in languages suited to the task such as Prolog
>or LISP work. SGML works too. (Corrupt history leads to
>corrupt conclusions, and that is the SemWebs biggest and
>most intractable obstacle.) What was learned is that AI is tedious
>to write and difficult to scale. Say: expensive.
>Following these threads, the point of the SemWeb seems to be:
>1. One language moreorless, so as cheap as possible.
>2. One language moreorless, so scaling comes of linking and that
> is what networks do.
>3. Applications of the linked information: TBD.
>I agree that the frustration of STimBL down to Elliotte is in
>item three. Systems doing this work do it without items
>one and two so items of type three never get on the radar.
>This may come down to 'not enough customers really want
>machines to do this work' for reasons which are not
>coupled to the technology. See para 1 above.
actually, after 30 years i have finally realised that customers only
want machines to replace pens and journals. the rest is what we'd like
to do. sadly......
>The 'telephone to financial conversations' app is
>called a 'link analysis' application. Those are
>used in the industry I work in. Abstractly,
>mining hidden links among loosely coupled processes can
>be applied to other information domains. How to treat
>these as so-called 'proofs' is interesting because the
>measure of 'proof' always takes in more 'proof systems'
>and rules. The measures of proof for a technician repairing
>an engine and that of a judge deciding if a warrant is
>merited are not the same.
>From: Miles Sabin [mailto:email@example.com]
>For seconds, I think it's quite reasonable to question whether it's
>worth even bothering to read TFM if it's more or less the same old
>stuff that didn't work last time with no reasonable expectation that
>the new twist (angle brackets and URIs) is going to help find a useful
>route out of the blind alley.
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