CFP: MOCHA OPEN CHALLENGE

https://project-hobbit.eu/open-challenges/mocha-open-challenge/#cfp 
<https://project-hobbit.eu/open-challenges/mocha-open-challenge/#cfp>


  Open Mighty Storage Challenge (MOCHA) 2017-2018

After the successful organization of the MOCHA challenge at the ESWC 
2017, the HOBBIT project (https://project-hobbit.eu/) is proud to 
announce that MOCHA will be launched in September as an open challenge. 
The MOCHA Open Challenge will run periodically with cutoff dates in 
February and September. Therewith, the challenge will ensure continuous 
participation and system evaluation. Stay tuned and get ready to 
participate!


 1.

    Monetary prizes will be provided to the best winning systems at each
    cutoff date.

 2.

    Please express your interest in the MOCHA Open Challenge by adding
    your email in the link
    :https://project-hobbit.eu/open-challenges/mocha-open-challenge/express-interest..
    You will receive further information and notifications regarding the
    progress of the MOCHA Open Challenge.


    Important Dates

Dry-Run September 18th, 2017 -  October 29th, 2017

Training Phase October 30th, 2017* - January 31st, 2018

Test Phase February 1st, 2018 - February 28th, 2018

Proclamation of results February 28th, 2018


*Weekly release of evaluation results from the end of October onwards


    Prizes

The winner of the challenge will get a prize of 250€


    MOCHA Open Challenge at a glance

The aim of this challenge is to test the performance of solutions for 
SPARQL processing in aspects that are relevant for modern applications. 
These include ingesting data, answering queries on large datasets, 
versioning data, browsing and serving as backend for applications using 
Linked Data. The MOCHA Open Challenge will test the systems against data 
derived from real applications and with realistic loads. The open 
challenge comprises the following tasks:

  *

    Task 1 (Data Ingestion) will measure how well systems can ingest
    streams of RDF data.

  *

    Task 2 (Data Storage) will measure how well data stores perform for
    different types of queries.

  *

    Task 3 (Versioning) will measure how well versioning and archiving
    systems for Linked Data manage evolving datasets and queries
    evaluated across the multiple versions of said datasets.

  *

    Task 4 (Browsing) will check if existing solutions perform
    adequately for applications that address browsing through large data
    sets.


Small test data and documentation are available now for all the MOCHA 
tasks:

Task 1: http://hobbitdata.informatik.uni-leipzig.de/MOCHA_OC/Task1/

Task 2:http://hobbitdata.informatik.uni-leipzig.de/MOCHA_OC/Task2/

Task 3: http://hobbitdata.informatik.uni-leipzig.de/MOCHA_OC/Task3/

Task 4: http://hobbitdata.informatik.uni-leipzig.de/MOCHA_OC/Task4/


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Organization

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* Axel-Cyrille Ngonga Ngomo, Institute for Applied Informatics, Germany

* Irini Fundulaki, Foundation for Research and Technology – Hellas 
(FORTH), Greece

* Mirko Spasic, OpenLink, UK

* Henning Petzka, Fraunhofer IAIS, Germany

* Vassiliki Rentoumi, NCSR "Demokritos", Greece

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Further Information and Contact

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For detailed information, including datasets and submission guidelines,

please visit the challenge website: 
https://project-hobbit.eu/challenges/mocha-open-challenge

Contact Email: mightystoragechallenge-contact@googlegroups.com 
<mailto:mightystoragechallenge-contact@googlegroups.com>

OR georgala@informatik.uni-leipzig.de 
<mailto:georgala@informatik.uni-leipzig.de>