Joel:
On Feb 21, 2011, at 4:51 PM, joel sachs wrote:
most ontologies don't have users. I'll check Swoogle for some statistics to back that up, but does anyone really dispute it?
I'm not sure that's a useful statement by itself. It is akin to saying that most software source code doesn't have users, and therefore the way we think about software is flawed.
So, of course if you count any ontology that has ever been started by anyone, the majority of those will likely not have users. That doesn't mean at all that that is necessarily also so for each and every community of practice. Most of the ontologies in the OBO Foundry/ Library do have users, and publications arising from that.
And what does that then mean for TDWG / Biodiversity ontologies, if you mean to say that most of those do not have users? I don't claim to know, but I think it does go to suggest 3 things: 1) Ontologies created by a narrow (not the same as small) group of people and intended to be used by many will likely end up not getting used at all. 2) To get domain scientists engaged in ontology development at breadth, training and community are not dispensable. 3) Ontology building is time consuming, and merely talking about ontologies, or developing ontologies for the sake of having developed ontologies, doesn't justify anyone's time investment. But using them to demonstrate biological discovery does.
I"m a big fan of LOD, in particular *because* it does not require full- blown ontologies for entry. I'm hugely in favor of de-siloing data, and LOD has much promise in this regard by applying the ultimate normalization. But we should also not fool ourselves into believing that somehow normalizing all data into triple form will let us discover new knowledge. I have yet to see the paper that reports a scientific discovery from a flat vocabulary LOD-style RDF integration that you couldn't have achieved in a fraction of the time by cobbling together a database schema and some massaging scripts.
-hilmar