Hi Magnus,
We shall look into this issue and report back ...
Best Regards
Hugh Williams
Professional Services
OpenLink Software, Inc. // http://www.openlinksw.com/
Weblog -- http://www.openlinksw.com/blogs/
LinkedIn -- http://www.linkedin.com/company/openlink-software/
Twitter -- http://twitter.com/OpenLink
Google+ -- http://plus.google.com/100570109519069333827/
Facebook -- http://www.facebook.com/OpenLinkSoftware
Universal Data Access, Integration, and Management Technology Providers
On 19 Jun 2014, at 00:40, Magnus Knuth <magnus.kn...@hpi.uni-potsdam.de> wrote:
> We recently recognized that there are inconsistencies with dates in the
> DBpedia Sparql endpoint:
> dates in the SPARQL endpoint are timezoned +02:00 while on the DBpedia pages
> and in the dumps they are not. Take for example the birth date of Adriana
> Ozores, which is
> dbpedia-owl:birthDate 1959-05-21 (xsd:date) on [1] and
> <http://dbpedia.org/ontology/birthDate> 1959-05-20+02:00 in the Sparql
> endpoint [2].
>
> That is most probably an issue of Virtuoso and there already was an issue
> raised in 2011 on the virtuoso-users mailing list [3].
>
> Anybody knows a workaround and possibly a way to prevent this in future?
>
> Best
> /Magnus
>
> [1] http://dbpedia.org/page/Adriana_Ozores
> [2]
> http://dbpedia.org/sparql?default-graph-uri=http%3A%2F%2Fdbpedia.org&query=SELECT+*+%7B%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FAdriana_Ozores%3E+%3Chttp%3A%2F%2Fdbpedia.org%2Fontology%2FbirthDate%3E+%3Fo+%7D&format=text%2Fhtml&timeout=30000&debug=on
> [3]
> https://www.mail-archive.com/virtuoso-users@lists.sourceforge.net/msg04547.html
>
> --
> Magnus Knuth
>
> Hasso-Plattner-Institut für Softwaresystemtechnik GmbH
> Prof.-Dr.-Helmert-Str. 2-3
> 14482 Potsdam
>
> Amtsgericht Potsdam, HRB 12184
> Geschäftsführung: Prof. Dr. Christoph Meinel
>
> tel: +49 331 5509 547
> email: magnus.kn...@hpi.de
> web: http://www.hpi.de/
> webID: http://magnus.13mm.de/
>
>
> ------------------------------------------------------------------------------
> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
> Find What Matters Most in Your Big Data with HPCC Systems
> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
> http://p.sf.net/sfu/hpccsystems
> _______________________________________________
> Dbpedia-developers mailing list
> dbpedia-develop...@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/dbpedia-developers
------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
_______________________________________________
Virtuoso-users mailing list
Virtuoso-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/virtuoso-users