- From: Helena Deus <helenadeus@gmail.com>
- Date: Wed, 14 Mar 2012 14:09:02 +0000
- To: Mark <markw@illuminae.com>
- Cc: public-semweb-lifesci@w3.org
- Message-ID: <CAPkJ_9nLL4s85RdbuGUmKKc4h-_bHZ-3R1UnAwq7qMz=GXyiSA@mail.gmail.com>
>> As some of you know, we're already heading down this path in the C-BRASS "personalized medicine" project (which ends in 2 weeks), as well as with some visualization tools for SADI/SHARE. Hopefully we'll have something to show everyone in a few days/weeks! Those are exciting news, Mark! I tend to agree with the dual-approach SPARQL gives us a table-like view of the data that can be easily plugged into existing visualization techniques (not to mention a neat way of filtering and ranking the results according to some criteria, e.g. "only want to see proteins/genes that are mis-regulated in cancer and whose binding site can bind to drug X and rank them by their toxicity in human cell lines"). but RDF based visualizations can make obvious links that were not obvious before looking at the data in a graph-based visualization (granted we do a significant amount of filtering of our data in order to remove the "noise" that RDF based datasets too often throw at us). Best, Lena On Wed, Mar 14, 2012 at 1:55 PM, Mark <markw@illuminae.com> wrote: > On Tue, 13 Mar 2012 13:09:46 -0600, Jan Aerts <jan.aerts@esat.kuleuven.be> > wrote: > > > regarding the visualization of networks and RDF data. We hope to tackle >> the >> visual exploration of semantic web instance data >> > > > Hi all! Just wanted to toss my hat in this ring also, because the way Jan > described their approach caught my attention :-) > > My feeling is that attempts to visualize RDF networks isn't going to get > us very far - the granularity of RDF data (when modeled > semantically-transparently) is simply too fine and at too "low" a level for > useful human interpretation. It seems to me that the way to go is to > attach visualization tools to a higher level of interpretation, where there > is some "meaning" to be gleaned from chunks of RDF. e.g. attach a renderer > to a particular OWL class, and then all of the *instance data* (as Jan > says) for that class can be explored with some sense of context. > Alternately, you might attach renderers to SPARQL queries in much the same > way. > > As some of you know, we're already heading down this path in the C-BRASS > "personalized medicine" project (which ends in 2 weeks), as well as with > some visualization tools for SADI/SHARE. Hopefully we'll have something to > show everyone in a few days/weeks! > > Mark > > -- Helena F. Deus Post-Doctoral Researcher at DERI/NUIG http://lenadeus.info/
Received on Wednesday, 14 March 2012 14:09:55 UTC