Re: semantic web for EHRs

2010-03-11 Thread conor dowling
> > U.S.? (There's little here from what I can see - the interoperability > push is around SOAP). > > In my view, SOAP is the wrong direction. It is just adds complexity and > contributes to "babelization": > http://www.w3.org/2003/Talks/0717-semweb-dbooth/slide10-0.html > you're right but here's

Re: semantic web for EHRs

2010-03-11 Thread David Booth
On Wed, 2010-03-10 at 15:38 -0800, conor dowling wrote: > Is anyone on the group involved or know about adding a Semantic > Endpoint to an EHR system? I'm working on a SPARQL "profile" called > FMQL (see: http://www.caregraf.org/semanticvista#fmql ) for VA's > VistA, the most widely deployed EMR in

RE: Thickness of lines in this figure

2010-03-11 Thread Michel_Dumontier
Hi Eric, There's no ambiguity. This is a simple map of dataset interconnectivity in Bio2RDF. In datasets that refer to people, Bio2RDF uses FOAF relations and types. Whether there are multiple names for the same individual or that the name refers to different people is an age old problem whic

RE: Thickness of lines in this figure

2010-03-11 Thread Michel_Dumontier
Hello, It comes from the number of relations between the datasets. m. -Original Message- From: public-semweb-lifesci-requ...@w3.org [mailto:public-semweb-lifesci-requ...@w3.org] On Behalf Of Oliver Ruebenacker Sent: Thursday, March 11, 2010 8:35 AM To: public-semweb-lifesci@w3.org Subj

Thickness of lines in this figure

2010-03-11 Thread Oliver Ruebenacker
Hello, Can any one explain what in this figure determines the different thicknesses of lines? Thanks! http://sourceforge.net/apps/mediawiki/bio2rdf/nfs/project/b/bi/bio2rdf/4/4a/Bio2rdfmap_blanc.png Take care Oliver -- Oliver Ruebenacker, Computational Cell Biologist System

semantic web for EHRs

2010-03-11 Thread conor dowling
Is anyone on the group involved or know about adding a Semantic Endpoint to an EHR system? I'm working on a SPARQL "profile" called FMQL (see: http://www.caregraf.org/semanticvista#fmql ) for VA's VistA, the most widely deployed EMR in the U.S. (and open-sourced to boot). You can see/code-to the cu