W3C home > Mailing lists > Public > public-lod@w3.org > May 2008

Using Linking Open Data datasets

From: Hausenblas, Michael <michael.hausenblas@joanneum.at>
Date: Wed, 28 May 2008 16:52:15 +0200
Message-ID: <768DACDC356ED04EA1F1130F97D29852016BEA79@RZJC2EX.jr1.local>
To: <public-lod@w3.org>

Dear LODers,

One thing we encounter recurrently when using the LOD datasets is where
to 'start best'. I'm unsure how to handle this situation, so I tried to
gather some issues along with a simple proposal how to deal with it
(called MetaLOD) at [1]. The idea basically is to develop a vocabulary
and gather information 'about' the LOD datasets, such as 'at Geonames
you get location-based information', etc.

I'm aware of the fact that each LOD dataset *should* provide this kind
of information about itself, however (i) not all do AFAIK, and (ii) even
if all did, how can an application determine effectively and efficiently
which LOD dataset might be good to use for a certain task? I don't want
to propose a 'centrally controlled registry' with this idea, just a way
to flag what to expect from a LOD dataset as a kind of jump start. 

A formal description of the LOD dataset would also be beneficial for
other exploration purposes, I guess. For example we could express access
options for a LOD dataset (dump, SPARQL endpoint, etc.) or QoS
information, even trust issues or (user) ratings might be of interest.

Any thoughts?

While I'm here: In case you're around at ESWC08, come and join us at the
LOD gathering [2]


[1] http://community.linkeddata.org/MediaWiki/index.php?MetaLOD

 Michael Hausenblas, MSc.
 Institute of Information Systems & Information Management
 JOANNEUM RESEARCH Forschungsgesellschaft mbH
 Steyrergasse 17, A-8010 Graz, AUSTRIA

   phone: +43-316-876-1193 (fax:-1191)   
  mobile: +43-699-1876-1165
  e-mail: michael.hausenblas@joanneum.at
   skype: mhausenblas
     web: http://www.joanneum.at/iis/ 

 <see also>
Received on Wednesday, 28 May 2008 14:56:08 UTC

This archive was generated by hypermail 2.4.0 : Friday, 17 January 2020 16:20:39 UTC