On 2/10/11 4:10 PM, John F. Sowa wrote:
> KI
>> > DBpedia, and many datasets from the LOD cloud provided great sources of
>> > facts to Watson.
> I fully support the idea of using whatever resources are available
> -- both unstructured and highly structured. At VivoMind, we use
> anything and everything we can find, and we make it available to
> any process that might need it. Since retrieval time is logarithmic,
> it doesn't cost much to add more data -- provided that you have
> enough disks to store it. (01)
Yep! (02)
I would still like to work out something with you re. adding VivoMind to
a bulk content ingestion workflow that adds more facts to existing
Linked Data graphs e.g. LOD cloud cache. (03)
I also share your opinion with regards to pulling this off with far less
hardware. (04)
> KI
>> > Watson is a demonstration of what can be achieved when you combine NLP
>> > and Deductive DBMS technology -- where Linked Data and lots of other
>> > Semantic Web Project outputs contribute.
> But I would add other points that Ferrucci emphasized: machine
> learning, the derivation and testing of multiple hypotheses,
> statistic, and heuristics. I always emphasize that deduction is
> only 25% of Peirce's Cycle of Pragmatism; induction, abduction,
> and testing are the other 75%. (05)
Yes! I should have emphasized that in my comments, actually. In short,
Machine Learning algorithms are absolutely vital with regards to
Watson's potency as a Jeopardy contestant :-)
> I believe the greatest strength of Watson is their combined use
> of multiple paradigms. That is the theme of the following paper: (06)
Amen! (07)
> http://www.jfsowa.com/talks/paradigm.pdf
> Two Paradigms are Better than One,
> And Multiple Paradigms are Even Better (08)
-- (09)
Regards, (010)
Kingsley Idehen
President& CEO
OpenLink Software
Web: http://www.openlinksw.com
Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca: kidehen (011)
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