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- From: "Bullard, Claude L (Len)" <clbullar@ingr.com>
- To: KenNorth <KenNorth@email.msn.com>, Jonathan Borden <jborden@mediaone.net>,Mike.Champion@SoftwareAG-USA.com, xml-dev@lists.xml.org
- Date: Wed, 18 Oct 2000 12:52:11 -0500
What if that were applied to schema instead of full text?
The application of markup vocabularies infers that a
vocabulary is designed and gets support from some set
of users by some means. Discovering a vocabulary exists
is an issue and proving it is useful for the process
is an issue. But that is what UDDI, BizTalk etc are
there to do: enable the designer to create processes for
discovery and negotiation that precede automated business.
Step back and say, ok, let's put the semantic
web term to the side for just second and talk about inference
engines and RDF, arcs, classes, etc., then ask, what are
the services that such an engine provides. The answers
to that might bridge the poles of services and semantics
such that we are back to an explainable concept we can
articulate in terms of the current architectures coming
out of the mainstream vendors by showing the inferencing
based on RDF not as a vision, but as another set of tools
and techniques extending the current pool. That's a win.
Len Bullard
Intergraph Public Safety
clbullar@ingr.com
http://www.mp3.com/LenBullard
Ekam sat.h, Vipraah bahudhaa vadanti.
Daamyata. Datta. Dayadhvam.h
-----Original Message-----
From: KenNorth [mailto:KenNorth@email.msn.com]
Some time ago I wrote a Web Techniques article that discussed NLM's MeSH,
domain vocabularies, and search engines such as WHIRL (which uses pattern
recognition to support similarity searches). My suggestion was we should
integrate the techniques. Use domain experts to build vocabularies, with
machine analysis to continually scan and analyze the literature to surface
new terms that have entered the vocabulary of practitioners.
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