- From: Matthias Samwald <samwald@gmx.at>
- Date: Thu, 20 Nov 2008 12:40:52 +0100
- To: Sören Auer <auer@informatik.uni-leipzig.de>
- Cc: "Giovanni Tummarello" <giovanni.tummarello@deri.org>, "Jim Hendler" <hendler@cs.rpi.edu>, <public-lod@w3.org>
> I remember these early days of the Web, when people liked to draw maps of > the WWW, and these really quickly disappeared when it got big. I hope that > happens to the Data Web, too. I am quite sure that this will happen soon; for example, there are several large datasets in the pipeline of the "Linking Open Drug Data" task force at the W3C [1]. But generally, I wonder whether the early (90ies?) WWW is a good comparison for the current web of data. After all, the current WWW is quite different from early WWW, right? Besides the distributed blogosphere, a major part of the life on today's web happens on a handful of very popular web sites (such as Wikipedia, Facebook, Youtube, and other obvious candidates). Likewise, there are many information resources for specialized domains, such as life science. But 90% of the users in this particular domain only makes use of a small, selected set of the most popular information resources in their daily work life (such as PubMed or UniProt). Rather than trying to do a rapid expansion over the whole web through very light-weight, loose RDFization of all kinds of data, it might be more rewarding to focus on creating rich, relatively consistent and interoperable RDF/OWL representations of the information resources that matter the most. Of course, this is not an either-or decision, as both processes (the improvement in quality and the increase in quantity) will happen in parallel. But I think that quality should have higher priority than quantity, even if it might be harder to, uhm, quantify quality. [1] http://esw.w3.org/topic/HCLSIG/LODD/Data/DataSetEvaluation Cheers, Matthias Samwald * Semantic Web Company, Austria || http://semantic-web.at/ * DERI Galway, Ireland || http://deri.ie/ * Konrad Lorenz Institute for Evolution & Cognition Research, Austria || http://kli.ac.at/
Received on Thursday, 20 November 2008 11:41:36 UTC