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> > You can also use RDF reification and old fashioned certainty factors to > > cross the bridge : > > > > [Nancy hasVirus #SARS] hasCertainty 0.01 > > > > You could certainly do this, but an OWL engine wouldn't be able > to make any > sense out of it. No, but it provides a means of associating statements with 'analog' style data. RDF graphs could represent Bayesian networks but that > doesn't mean that OWL inferencing engines would somehow understand them -- > its at this precise point that you would need to invoke some as yet to be > defined -- let alone discussed-- layer of the SW that would > understand this > type of logic. Yep, but I reckon it's easier than you make it sound. Even if the OWL system is only used for transport/routing of analog data, it's got a lot of potential. Add a bit of rudimentary fuzzy logic and it should get fun. Statistical systems can provide (real-)numerical data which can be represented in OWL which can be pushed around & reasoned with in OWL terms, pumped out as numerical data to external statistical analysis engines, the results re-coded as RDF statements... My bet would be on some melding of any of a number of > (currently available) statistical processors as input to (currently > available) logical classifiers, and perhaps this would be an iterative > process. Quite. Cheers, Danny.
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