These days there are a lot of browser-oriented visualization toolkits, such d3.js or jit.js. They're great and easy to use, but how much do they scale when used with medium-large or very large datasets?
The subject ontology is a quite large (~2500 entities) taxonomical classification developed at Nature Publishing Group in order to classify scientific publications. The taxonomy is publicly available on data.nature.com, and is being encoded using the SKOS RDF vocabulary.
The subject taxonomy actually is a poly-hierarchy (=one term can have more than one parent, so really it's more like a directed graph). None of the libraries could handle that properly, but maybe that's not really a limitation cause they are meant to support the visualization of trees (maybe I should play around more with force-directed graphs layout and the like..)
The only viz that could handle all of the terms in the taxonomy is D3's collapsible tree. Still, you don't want to keep all the branches open at the same time! Click on the image to see it with your eyes.
Other stuff out there that could do a better job?
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