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Re: Cfp - 1st International Workshop on Data Mining on Linked Data (DMoLD'13) with Linked Data Mining Challenge @ ECML/PKDD

From: Sarven Capadisli <info@csarven.ca>
Date: Fri, 24 May 2013 13:33:19 +0200
Message-ID: <519F4FFF.1070801@csarven.ca>
To: semantic-web@w3.org
On 05/24/2013 12:56 PM, Claudia d'Amato wrote:
> [Apologies for multiple postings]
>
>
> ---------------------------------------------------------------------------------
>
>                            Call for Papers
>                                 for
>               Data Mining on Linked Data (DMoLD'13) workshop
>                    with Linked Data Mining Challenge
> ---------------------------------------------------------------------------------
>
>
> To be held during the European Conference on Machine Learning and
> Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD
> 2013,
> 23-27 September 2013 Prague, Czech Republic (http://www.ecmlpkdd2013.org/)
>
> The workshop  consists of an Open Track and of a Challenge Track.
> The Open Track will expect submission of regular research papers,
> describing
> novel approaches to applying Data Mining techniques on the Linked Data
> sources.
> Participation in the Challenge Track will require the participants to
> download a
> real-world RDF dataset from the domain of Public Contract Procurement, and
> accomplish at least one of the three pre-defined tasks on it using their
> own or
> publicly available data mining tool.
>
> IMPORTANT DATES:
> * May  1, 2013  - Challenge Track data for Task 1 and Task 3
> * May 15, 2013  - Challenge Track data for Task 2
> * June 21, 2013 - Deadline for Challenge Track results
> * June 28, 2013 - Deadline for paper submissions (both Open Track and of
> a Challenge Track)
>
> For more info about the Challenge, visit
> http://keg.vse.cz/dmold2013
> For more info about the ECML/PKDD 2013, visit
> http://www.ecmlpkdd2013.org
>
> Claudia d'Â’Amato, Petr Berka, Vojtech Svatek & Krzysztof Wecel
> Workshop organizers


With a submission guide like [1] it surely makes it challenging for the 
community in the future to mine the research data that you pull in.

Any ideas on the type of changes that you could make so that people can 
mine your data more intelligently and contribute it right back to the 
community?

[1] http://keg.vse.cz/dmold2013/submissions.html

-Sarven


Received on Friday, 24 May 2013 11:33:56 UTC

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