Peter - as an FYI, the system at this end point (
http://vista.caregraf.org/rambler/2 ) is running a "flavor" of SPARQL (more
here: http://www.caregraf.org/semanticvista ) that returns triples from
VistA and RPMS (both of which are built around the MUMPS based FileMan).
The idea was to treat these
Apologies for cross-posting
--
Call for papers for LHD-11 workshop at IJCAI-11, July 2011, Barcelona:
Discovering Meaning On the Go in Large & Heterogeneous Data
http://dream.inf.ed.ac.uk/events/lhd-11/
I would love to see some of this in RDF triples. Personally I've had
experience with RIM and relational DBs but not much at all in healthcare
with triples.
My real concern, is that people will go off and re model healthcare from
scratch without taking the RIM into consideration.
If someone has
hi peter,
"You don't gain anything by decomposing it and recomposing it into RDF."
the scenarios where i have seen this work is where the data itself isn't
touched, the application makes the transformation to RDF in memory then
applies semantic tools. so if i want to see if there are patient
hi dirk,
"So, OWL, certainly OWL Full is perfectly capable of capturing any chunk of
instance data."
yes i agree with this but what i was pointing out is that when one is
writing certain types of applications that are dealing with the relationship
between entities at a higher level such as in
Good discussion on this thread...And timely...since more advanced
business process orchestrations for web services and other internet
technologies are penetrating the market. This gives an opportunity for
newer implementation technologies like OWL and RDF to enhance the
execution of business pr
