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Dear all,<br>
<br>
The QALD-2 Open Challenge on Question Answering over Linked Data is
on! <br>
<br>
Question answering systems of all kinds are invited to participate
in the shared task of processing natural language queries and
retrieving relevant answers from a given RDF dataset, thereby
providing an in-depth view of the strength, capabilities and current
short-comings of existing systems. <br>
<br>
We provide two datasets: DBpedia 3.7 and MusicBrainz, which can
either be downloaded or accessed via a SPARQL endpoint. In addition,
we provide 100 training questions for each dataset, annotated with
corresponding SPARQL queries and answers. Later, during test phase,
participating systems will be evaluated with respect to precision
and recall on a set of similar test questions. Submission of results
will be possible via an online form, which can also be used for
checking evaluation results on the training questions. <br>
<br>
For detailed information as well as links to the datasets and
training questions, please check the workshop website: <br>
<a
href="http://greententacle.techfak.uni-bielefeld.de/%7Ecunger/qald/index.php?x=challenge&q=2">http://greententacle.techfak.uni-bielefeld.de/~cunger/qald/index.php?x=challenge&q=2</a><br>
<br>
Although the competition is tailored towards question answering
systems based on natural language, we strongly encourage other
relevant systems and methods that can benefit from the evaluation
datasets to also report their results. <br>
<br>
We wish you success and hope you have fun! <br>
With best regards, <br>
Christina Unger, <br>
Philipp Cimiano, <br>
Vanessa Lopez, <br>
Enrico Motta, <br>
Paul Buitelaar, <br>
Richard Cyganiak<br>
<br>
<pre class="moz-signature" cols="72">--
Christina Unger, PhD
Semantic Computing Group
CITEC, Bielefeld University
<a class="moz-txt-link-freetext" href="http://www.sc.cit-ec.uni-bielefeld.de/">http://www.sc.cit-ec.uni-bielefeld.de/</a>
Phone: +49 521 106 12224
Office: H1-124, Morgenbreede 39</pre>
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