is no upper limit, paper length must be justified
by content.
Guest editors
* Amrapali Zaveri, University of Leipzig, AKSW Group, Germany
* Dimitris Kontokostas, University of Leipzig, AKSW Group, Germany
* Sebastian Hellmann, University of Leipzig, AKSW Group, Germany
* Jürgen Umbrich, Vi
systems and case studies.
Guest editors
Amrapali Zaveri, University of Leipzig, AKSW Group, Germany
Dimitris Kontokostas, University of Leipzig, AKSW Group, Germany
Sebastian Hellmann, University of Leipzig, AKSW Group, Germany
Jürgen Umbrich, Vienna University of Economics and Business, Austria
The
ssions will be peer reviewed by three independent
reviewers. Accepted papers have to be presented at the workshop.
*Organizing Committee*
* Anisa Rula – University of Milano-Bicocca, IT
* Amrapali Zaveri – AKSW, University of Leipzig, DE
* Magnus Knuth – Hasso Plattner Institute, University
Dear all,
We would like to thank all the participants who took part in the
DBpedia Data Quality Evaluation Campaign. A total of 58 participants
evaluated 521 distinct resources. This campaign has helped in
identifying the major data quality problems in DBpedia which will help
us improve the quali
have evaluated
about 200 resources. Those who evaluate 10 or more resources have a higher
chance of winning !! So, go ahead, start evaluating now!
Thank you very much for your time.
Regards,
DBpedia Data Quality Evaluation Team.
On 22 Nov 2012, at 10:24, Amrapali Zaveri wrote:
> Hi,
>
>
Hi,
In case you missed out on the following email, here's a chance to win either a
Samsung Galaxy Tab 2 or an Amazon voucher worth 300 Euro !!!
Please help us in evaluating the quality of DBpedia by using the tool:
http://nl.dbpedia.org:8080/TripleCheckMate/. Those who evaluate 10 or more
reso
!
>
> Best,
> Matthew
>
> [1] http://wiki.dbpedia.org/Datasets#h18-18
> ---
> Matthew Gamble
> PhD Candidate
> School of Computer Science
> University of Manchester
> gam...@cs.manchester.ac.uk
>
Thanks.
Regards,
Ms. Amrapali Zaveri Gokhale
University of Lei
Dear all,
As we all know, DBpedia is an important dataset in Linked Data as it
is not only connected to and from numerous other datasets, but it also
is relied upon for useful information. However, quality problems are
inherent in DBpedia be it in terms of incorrectly extracted values or
d