- From: Peter Ansell <ansell.peter@gmail.com>
- Date: Thu, 11 Sep 2008 07:56:41 +1000 (EST)
- To: Kei Cheung <kei.cheung@yale.edu>
- Cc: w3c semweb hcls <public-semweb-lifesci@w3.org>, eric neumann <ekneumann@gmail.com>
----- "Kei Cheung" <kei.cheung@yale.edu> wrote: > From: "Kei Cheung" <kei.cheung@yale.edu> > To: "eric neumann" <ekneumann@gmail.com> > Cc: "w3c semweb hcls" <public-semweb-lifesci@w3.org> > Sent: Thursday, September 11, 2008 6:42:33 AM GMT +10:00 Brisbane > Subject: Re: An application of the Semantic Web for finding alternative drug applications > > Thanks for sharing the papers, Eric. I went through some of the papers > including the one you mentioned (interestingly there is a paper on > wiki). I think they're interesting. They reminded me of "mining for the > semantic web" (ontology learning?) and "mining from the semantic web" > (data mining). For biological networks, we need to do both semantic and > topological queries. It might be difficult to achieve the latter using > SPARQL (e.g., finding protein hubs). Maybe we need some extensions of > SPARQL. > > Best, > > -Kei What are the limits to what you can do with bare SPARQL in this area? Does it help to have elementary rdfs subclass knowledge for the topological parts? Cheers, Peter
Received on Wednesday, 10 September 2008 21:57:22 UTC