From: Stephen Reed (firstname.lastname@example.org)
Date: Wed May 07 2003 - 09:32:12 MDT
Cycorp is taking the semantic integration approach that you describe. We
are participants in the DARPA DAML project and I am adapting a DAML Query
Language (DQL) java component written by Stanford to provide a DQL
facility for OpenCyc.
Likewise this year we have a team of programmers working on generalized
semantic integration of relational databases. The objective of our work
is to make structured information from databases and web services appear
to be Cyc assertions for the purpose of deductive inference.
We have demonstrated success in using the Cyc ontology as reference
ontology for mapping a wide variety of external schema and ontologies. We
are demonstrating this ability within the DARPA GENOA II program with our
Terrorism Knowledge Base, which is Cyc greatly augmented by
terrorism-related assertions and mapped/integrated external structured
On Tue, 6 May 2003, Amara D. Angelica wrote:
> In Journal of the ACM (JACM), Volume 50 , Issue 1 (January 2003)
> http://220.127.116.11/www/oy8guwod/Feigenbaum_notes.doc, Ed Feigenbaum
> presents an interesting solution to this problem, proposing working
> within formal, constrained knowledge domains and "distilling from the
> WWW a huge knowledge base, reducing the cost of knowledge engineering by
> many orders of magnitude."
> He points out that "the WWW is not a knowledge base. Except for
> supporting data, most of what the WWW contains can not participate
> directly in inference making, problem solving, and decision making that
> a CI must do. The WWW, simply put, does not represent knowledge using
> any of the standard tools of knowledge engineering, logic, and
> probabilistic inference."
> He goes on to point out that the Semantic Web is the solution: the
> creation of shared ontologies and the use of "a markup language in which
> each [Web page creator] can do an extensive semantic markup of his/her
> textual submission," such as the "DAML+OIL [and its successor, OWL]
> international project has the promise of eventual distribution of
> user-friendly semantic processing and markup tools to all web page
> "Knowledge engineers must build a system of "semantics scrapers" that
> will access the semantic markups, integrate them appropriately into the
> growing knowledge base, and set up the material for the scrutiny of an
> editorial process."
> I would be interested in your opinion of this approach for generating
> constrained knowledge domains. Would the path to a super AI then be via
> some form of metaontology that could automagically integrate the various
> > -----Original Message-----
> > From: email@example.com [mailto:firstname.lastname@example.org] On Behalf
> > Of Ben Goertzel
> > Sent: Tuesday, May 06, 2003 6:21 PM
> > To: email@example.com
> > Subject: RE: Hardware Progress: $212/GFlop/s
> > > I realize that there is a lot of subconscious information
> > people have,
> > > process, and use. But a super AI, given access to something
> > like the
> > > Internet, would probably have access to all of the raw
> > information it
> > > would need. If it was taught how to process that
> > information, there'd
> > > be little need to train it further - it could teach itself.
> > That is quite true!!
> > The question is, how will it be taught how to process that
> > information? It will have to be taught this via guided
> > experience, not (IMO) via being fed files of knowledge about
> > how to process the information..... And this -- teaching how
> > to process and learn from information -- is what some of us
> > think may be a years-long teaching process...
> > > Or maybe I am just naive. I just like reading this list, I haven't
> > > much education as far as cognitive science goes :)
> > Well, even if you ARE naive, that doesn't mean becoming an
> > expert would make you agree with me!
> > This is stuff on which experts disagree widely -- I have
> > strong opinions, but others with equally many credentials
> > have equally strong and strongly opposed opinions...
> > And so it will remain till significantly more empirical
> > progress is made in the AI domain!!
> > ben g
-- =========================================================== Stephen L. Reed phone: 512.342.4036 Cycorp, Suite 100 fax: 512.342.4040 3721 Executive Center Drive email: firstname.lastname@example.org Austin, TX 78731 web: http://www.cyc.com download OpenCyc at http://www.opencyc.org ===========================================================
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