- From: Jan Aerts <jan.aerts@esat.kuleuven.be>
- Date: Sun, 18 Mar 2012 17:03:00 +0100
- To: public-semweb-lifesci@w3.org
- Message-ID: <CAErBFCzW54PhBQzA0zkVfHiVT7y7P0bzJcTRv-bKcVWMNwPKzg@mail.gmail.com>
Hey Mark, I totally agree: showing RDF data in its full granularity will not work. I had a chat with Katayama yesterday (is on holiday in Belgium), and he mentioned something about your approach. It makes a lot of sense, and will probably be the best way to bring this issue forward at this moment. In my lab, however, we have to look at dataviz from a more general viewpoint as well. Although we are working on visualization of specific types of data within a certain expert domain (i.c. genomics), many of our projects need to be more on changing the state-of-the-art of data visualization itself. For example: how do you visualize dynamic networks (could be gene networks, could be social networks, ...). So what if we're looking at RDF data that is not in a domain that already has a set of standard visualizations available? Within HCLS, I'd like to look at a hybrid between the two: we do have some standard visualizations for certain types of data (e.g. gbrowse-like-thing, heatmaps, ...) and should definitely work that out. But in addition, I'd like to look at it from a more general perspective as well. I think these two could be completely complementary to each other. jan. ================================ Dr Jan Aerts Assistant Professor Faculty of Engineering - ESAT/SCD Kasteelpark Arenberg 10 bus 2446 3001 Leuven-Heverlee Tel: +32 16 321053 Fax: +32 16 321970
Received on Sunday, 18 March 2012 16:03:59 UTC