<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: times new roman,new york,times,serif; font-size: 12pt; color: #000000'><div style="font-family: times new roman,new york,times,serif; font-size: 12pt; color: #000000"><font size="2" face="arial,helvetica,sans-serif">Dear colleagues, <br><br>Please find attached the Call for Papers of the Special Issue on Semantic Deep Learning at the Semantic Web Journal.<br><br></font><font size="2" face="arial,helvetica,sans-serif">Please do not hesitate to contact us with any questions or requests for further information. <br><br>Kind regards,<br>Dagmar, Thierry, Luis </font><br><br>--------------------------------<br><span class="Object" id="OBJ_PREFIX_DWT2716_com_zimbra_url"><a target="_blank" href="http://www.semantic-web-journal.net/blog/call-papers-special-issue-semantic-deep-learning">http://www.semantic-web-journal.net/blog/call-papers-special-issue-semantic-deep-learning</a></span><br><br><h1 dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:12pt;margin-right: 8pt;background-color:#ffffff;" id="docs-internal-guid-2c404230-b61b-3169-b079-050e412e0c93"><span style="font-size:15.499999999999998pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Call for Papers: Special Issue of the Semantic Web Journal on <br></span></h1><h1 dir="ltr" style="line-height:1.38;margin-top:8pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:15.499999999999998pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Semantic Deep Learning</span></h1><br><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:28pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Semantic
Web technologies and deep learning share the goal of creating
intelligent artifacts that emulate human capacities such as reasoning,
validating, and predicting. Both fields have been impacting data and
knowledge analysis considerably as well as their associated abstract
representations. Deep learning is a term used to refer to deep neural
network algorithms that learn data representations by means of
transformations with multiple processing layers. These architectures
have frequently been applied in NLP to feature learning from raw data,
such as part-of-speech-tagging, morphological tagging, language
modeling, and so forth. Semantic Web technologies and knowledge
representation, on the other hand, boost the re-use and sharing of
knowledge in a structured and machine readable fashion. Semantic
resources such as WikiData, Yago, BabelNet or DBpedia, as well as
knowledge base construction and completion methods have been
successfully applied to improved systems addressing semantically
intensive tasks (e.g. Question Answering).</span></p><p dir="ltr" style="line-height:1.38;margin-top:13pt;margin-bottom:28pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">There
are notable examples of contributions leveraging either deep neural
architectures or distributed representations learned via deep neural
networks in the broad area of Semantic Web technologies. These include,
among others: (lightweight) ontology learning, ontology alignment,
ontology annotation, joined relational and multi-modal knowledge
representations, and ontology prediction. Ontologies, on the other hand,
have been repeatedly utilized as background knowledge for machine
learning tasks. As an example, there is a myriad of hybrid approaches
for learning embeddings by jointly incorporating corpus-based evidence
and semantic resources. This interplay between structured knowledge and
corpus-based approaches has given way to knowledge-rich embeddings,
which in turn have proven useful for tasks such as hypernym discovery,
collocation discovery and classification, word sense disambiguation,
joined relational and multi-modal knowledge representations and many
others.</span></p><p dir="ltr" style="line-height:1.38;margin-top:13pt;margin-bottom:28pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">In
this special issue, we invite submissions that illustrate how Semantic
Web resources and technologies can benefit from an interaction with deep
learning. At the same time, we are interested in submissions that show
how knowledge representation can assist in deep learning tasks deployed
in the field of NLP and how knowledge representation systems can build
on top of deep learning results.</span></p><p dir="ltr" style="line-height:1.38;margin-top:13pt;margin-bottom:28pt;margin-right: 8pt;"><b><span style="font-size: 10pt; font-family: "Trebuchet MS"; color: rgb(50, 50, 50); background-color: transparent; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;">Topics include, but are not limited to: </span></b></p><ul style="margin-top:0pt;margin-bottom:0pt;"><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:13pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Structured knowledge in deep learning</span></p></li><ul style="margin-top:0pt;margin-bottom:0pt;"><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">learning and applying knowledge graph embeddings
</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">applications of knowledge-rich embeddings
</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">neural networks and logic rules
</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">learning semantic similarity and encoding distances as knowledge graph</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">ontology-based text classification</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">multilingual resources for neural representations of linguistics</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">semantic role labeling </span></p></li></ul><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Deep reasoning and inferences</span></p></li><ul style="margin-top:0pt;margin-bottom:0pt;"><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">commonsense reasoning and vector space models</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">reasoning with deep learning methods</span></p></li></ul><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Learning knowledge representations with deep learning</span></p></li><ul style="margin-top:0pt;margin-bottom:0pt;"><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">word embeddings for ontology matching and alignment</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">deep learning and semantic web technologies for specialized domains</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">deep learning ontologies
</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">deep learning models for learning knowledge representations from text</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">deep learning ontological annotations</span></p></li></ul><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Joint tasks</span></p></li><ul style="margin-top:0pt;margin-bottom:0pt;"><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">mining multilingual natural language for SPARQL queries
</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">information retrieval and extraction with knowledge graphs and deep
learning models</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">knowledge-based deep word sense disambiguation and entity linking</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">investigation of compatibilities and incompatibilities between deep learning and Semantic Web approaches</span></p></li><li dir="ltr" style="list-style-type:circle;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:28pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">neural networks for learning Linked Data</span></p></li></ul></ul><h2 dir="ltr" style="line-height:1.38;margin-top:8pt;margin-bottom:31pt;margin-right: 8pt;"><span style="font-size:13.999999999999998pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Deadline</span></h2><ul style="margin-top:0pt;margin-bottom:0pt;"><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;"><h2 dir="ltr" style="line-height:1.38;margin-top:8pt;margin-bottom:31pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Submission deadline: <span class="Object" id="OBJ_PREFIX_DWT2717_com_zimbra_date">28 February 2017</span>. Papers submitted before the deadline will be reviewed upon receipt.</span></h2></li></ul><h2 dir="ltr" style="line-height:1.38;margin-top:8pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:13.999999999999998pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Submission Instructions</span></h2><p dir="ltr" style="line-height:1.38;margin-top:13pt;margin-bottom:0pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Submissions shall be made through the Semantic Web journal website at </span><span class="Object" id="OBJ_PREFIX_DWT2718_com_zimbra_url"><a href="http://www.semantic-web-journal.net/" style="text-decoration:none;" target="_blank"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#bf1d20;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">http://www.semantic-web-journal.net</span></a></span><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">. Prospective authors must take notice of the submission guidelines posted at </span><span class="Object" id="OBJ_PREFIX_DWT2719_com_zimbra_url"><a href="http://www.semantic-web-journal.net/authors" style="text-decoration:none;" target="_blank"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#bf1d20;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">http://www.semantic-web-journal.net/authors</span></a></span><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">.</span></p><p dir="ltr" style="line-height:1.38;margin-top:13pt;margin-bottom:28pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">We
welcome four main types of submissions: (i) full research papers, (ii)
reports on tools and systems, (iii) application reports, and (iv) survey
articles. The description of the submission types is posted at </span><span class="Object" id="OBJ_PREFIX_DWT2720_com_zimbra_url"><a href="http://www.semantic-web-journal.net/authors#types" style="text-decoration:none;" target="_blank"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#bf1d20;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;">http://www.semantic-web-journal.net/authors#types</span></a></span><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">. While there is no upper limit, paper length must be justified by content.</span></p><p dir="ltr" style="line-height:1.38;margin-top:13pt;margin-bottom:28pt;margin-right: 8pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#323232;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Note
that you need to request an account on the website for submitting a
paper. When submitting, please indicate in the cover letter that it is
for the Special Issue on Semantic Deep Learning and the chosen
submission type. All manuscripts will be reviewed based on the SWJ open
and transparent review policy and will be made available online during
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style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Dario Garcia-Casulla, Barcelona Supercomputing Center (BSC), Barcelona, Spain</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Jorge Gracia Del Río, Ontology Engineering Group, UPM, Madrid, Spain</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Jindrich Helcl, Charles University, 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style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Simone Paolo Ponzetto, University of Mannheim, Mannheim, Germany</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Martin Riedel, University of Stuttgart, Stuttgart, Germany</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Francesco Ronzano, Pompeu Fabra University, Barcelona, Spain</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Enrico Santus, Singapore University of Technology and Design, Singapore</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Francois Scharffe, Axon Research, New York, USA</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Vered Shwartz, Bar-Ilan University, Ramat Gan, Isreal</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Kiril Simov, Bulgarian Academy of Sciences, Sofia, Bulgaria</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Michael Spranger, Sony Computer Science Laboratories Inc., Tokyo, Japan</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Armand Vilalta, Barcelona Supercomputing Center (BSC), Barcelona, Spain</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Piek Vossen, VU University Amsterdam, The Netherlands</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;">Arkaitz Zubiaga, University of Warwick, Coventry, UK</span></p></div></div></body></html>