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Hobbit Team <[log in to unmask]>
Thu, 1 Mar 2018 15:48:37 +0000
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SQA 2018 – Scalable Question Answering

in conjunction with the 15th European Semantic Web Conference (ESWC 2018)
3rd-7th June 2018, Heraklion, Crete, Greece

email: [log in to unmask]

The key challenge for Scalable Question Answering over Linked Data is the need to translate a user’s information request into such a form that it can be efficiently evaluated using standard Semantic Web query processing and inferencing techniques.

Therefore, the main task of SQA Challenge is the following: given an RDF dataset and and a large volume of natural language questions or keywords, return the correct answers (or SPARQL queries that retrieves those answers).

Training dataset and documentation are available:
* Training dataset:
* Description:

In the Scalable Question Answering Challenge (SQA) users can display the capabilities of their systems using the HOBBIT platform ( provided by the homonymous H2020 project.

Participants will be expected to describe their solution and results on the training datasets over a 5 page paper. In particular, a short summary of the approach chosen, a link to the experimental results and an analysis of the strengths and weaknesses of the approach are expected.

Important Dates
– Challenge papers submission deadline (5 pages document): Friday March 30th, 2018
– Challenge paper reviews: Thursday, April 26th, 2018
– Notifications sent to participants and invitations to submit task results: Monday April 30th, 2018
– Test data (and other participation tools) published: Monday, May 7th, 2018
– Camera ready papers for the conference (5 pages document): Monday, May 14th, 2018
– Instructions for evaluation: Monday February 12th, 2018
– Deadline for submission of system answers (cut-off): Friday June 1st, 2018
– Camera ready papers for the challenge proceedings (up to 15 pages): Friday, July 6th, 2018 (tentative deadline)

– Proclamation of winners: During ESWC2018 closing ceremony

* Giulio Napolitano, IAIS, Fraunhofer, Germany
* Axel-Cyrille Ngonga Ngomo, University of Paderborn, Germany
* Ricardo Usbeck, University of Paderborn, Germany

Further Information and Contact
For detailed information including datasets and submission guidelines, please visit
the challenge website:
Contact Email: [log in to unmask]

Holistic Benchmarking of Big Linked Data - HOBBIT EU Project

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