Alessandro,
On 1 Mar 2010, at 10:59, Alessandro Diaferia wrote:
>
>
> 2010/3/1 Hugh Williams <[email protected]>
> Hi Alessandro,
>
> By "truncated" I presume you mean it is not possible to retrieve more that
> 1000 rows per query, which is an intentional restriction on the dbpedia
> sparql endpoint to protect it from mis-use ie someone inadvertently or
> otherwise overloading the service querying large result setsr. Thus as you
> have done below, to obtain larger result sets use LiMIT and OFFSET to
> traverse through the data in chunks if required.
>
> Best Regards
> Hugh Williams
> Professional Services
> OpenLink Software
> Web: http://www.openlinksw.com
> Support: http://support.openlinksw.com
> Forums: http://boards.openlinksw.com/support
> Twitter: http://twitter.com/OpenLink
>
> On 1 Mar 2010, at 10:16, Alessandro Diaferia wrote:
>
> > Hello everybody,
> > I'm new to this list.
> >
> > I'm using dbpedia sparql endpoint for my thesis project at university. I'm
> > developing a software that allows the user to easily make queries to the
> > dbpedia sparql endpoint. While trying some queries i noticed that some of
> > them (or all of them?) make dbpedia return a truncated reply. I can check
> > this trying to put an OFFSET that makes me see that other results are there
> > but they are just not returned all at once.
> >
> > Is this something i can achieve? Do you have any hint for me to get all
> > results somehow?
> >
> > Thank you for your time.
> > Regards.
> >
> > --
> > Alessandro Diaferia
> > KDE Developer
> > KDE e.V. member
> >
> > ------------------------------------------------------------------------------
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>
>
> So do you suggest i should use multiple of 1000 as offset in order to retrive
> the whole set of results?
[Hugh]Yes, that is what I am saying. As a publicly available sparql endpoint
remember you are not the only person using the service, thus controls are
required to ensure the service is accessible by all and to prevent overload of
the Virtuoso Server hosting the service which ultimately is limited to the
available resources of the hardware it runs on.
Of course you can also install and load a local version of Virtuoso [1] and
the DBpedia datasets or simply instantiate an Amazon EC2 cloud AMI [2], and
then have unrestricted access to you local copy.
Links:
1. http://virtuoso.openlinksw.com/dataspace/dav/wiki/Main/
2.
http://virtuoso.openlinksw.com/dataspace/dav/wiki/Main/VirtAWSPublicDataSets
-- pre-configured and pre-loaded Virtuoso + DBpedia 3.4
Best Regards
Hugh Williams
Professional Services
OpenLink Software
Web: http://www.openlinksw.com
Support: http://support.openlinksw.com
Forums: http://boards.openlinksw.com/support
Twitter: http://twitter.com/OpenLink
>
> --
> Alessandro Diaferia
> KDE Developer
> KDE e.V. member
>
------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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