<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Dear colleagues, <div class=""><br class=""></div><div class="">please find below the second call for papers for the 6th Workshop on Semantic Deep Learning (SemDeep-6) colocated with IJCAI-PRICAI. </div><div class=""><br class=""></div><div class="">We would like to point your attention to the fact that we will in any case organize the workshop, even though it will probably become an online event. Furthermore, we have decided to extend the submission deadline to May 15. </div><div class=""><br class=""></div><div class="">Please consider the event as a venue for your work, feel free to forward this call and please accept our apologies if you receive this call more than once. </div><div class=""><br class=""></div><div class="">Kind regards,</div><div class="">Dagmar, Luis, Thierry </div><div class=""><br class=""><div class=""><br class=""></div><div class=""><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font class=""><div class="" style="font-family: Times; margin: 0px; text-align: justify; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class="">SECOND CALL FOR PAPERS FOR THE 6TH WORKSHOP ON SEMANTIC DEEP LEARNING AND THE WiC-TSV CHALLENGE</b></span></div><div class="" style="font-family: Times; margin: 0px; text-align: justify; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class="">SemDeep-6@IJCAI-PRICAI 2020</b></span></div><div class="" style="font-family: Times;"><br class=""></div></font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Yokohama, Japan from July 11-17, 2020</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class=""><br class=""></font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="" color="#ff2600"><u class="">It is likely that the workshop will be organized as an online event. </u></font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">=====================================================</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="" color="#ff2600">SemDeep extended submission deadline: <strike class="">24 April 2020 </strike> 15 May 2020 (00:00 CEST) </font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">WiC-TSV Challenge end of evaluation: 1 May 2020 </font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">=====================================================</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class="">The</font><font face="Times New Roman" class=""> <a href="http://www.dfki.de/~declerck/semdeep-6/" class="">6th Workshop on Semantic Deep Learning (SemDeep-6)</a></font><font face="Times" class=""> and the </font><a href="https://competitions.codalab.org/competitions/23683" class=""><font face="Times New Roman" class="">WiC-TSV challenge</font></a><font face="Times" class=""> will be collocated with </font><a href="https://ijcai20.org/" class=""><font face="Times New Roman" class="">IJCAI-PRICAI</font></a><font face="Times" class=""> in Yokohama, Japan, this year. </font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Semantic Web (SW) technologies and Deep Learning (DL) share the goal of creating intelligent artifacts. Both disciplines have had a remarkable impact in data and knowledge analysis, as well as knowledge representation, and in fact constitute two complementary directions for modeling linguistic phenomena and solving semantically complex problems. In this context, and following the main foundations set in past editions, SemDeep-6 aims to bring together SW and DL research as well as industrial communities. </font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">SemDeep-6 is interested in contributions of DL to classic problems in semantic applications, such as: (semi-automated) ontology learning, ontology alignment, ontology annotation, duplicate recognition, ontology prediction, knowledge base completion, relation extraction, and semantically grounded inference, among many others. At the same time, we invite contributions that analyse the interaction of SW technologies and resources with DL architectures, such as knowledge-based embeddings, lexical entailment, relation classification or knowledge base completion. This year we are particularly interested in how this combination can contribute to the bigger field of Explainable AI. This workshop seeks to provide an invigorating environment where semantically challenging problems which appeal to both Semantic Web and Deep Learning communities are addressed and discussed.</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">KEYNOTE SPEAKER </font></b></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">We are happy to announce that Michael Spranger, a researcher at Sony Computer Science Laboratories Inc. in Tokyo, Japan, who has been actively contributing to neural-symbolic learning and reasoning, has agreed to give a keynote at SemDeep-6.</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">TOPICS OF INTEREST</font></b></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Topics of interest for scientific presentations and system demonstrations for this sixth full-day workshop on Semantic Deep Learning include but are not limited to: </font></span></div><ul class=""><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;">Explainable Artificial Intelligence (XAI)</span></font></li><div class=""><ul class=""><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;">joint Semantic Web and Deep Learning approaches to foster XAI</span></font></li></ul></div><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">Structured knowledge in deep learning</span></font></li><ul class=""><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">neural networks and logic rules for semantic compositionality</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">learning and applying knowledge graph embeddings</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">learning semantic similarity and encoding distances as knowledge graph</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">ontology-based text classification</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">multilingual resources for neural representations of linguistics</span></font></li></ul><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">Reasoning and inferences and deep learning</span></font></li><ul class=""><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">commonsense reasoning and vector space models</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">reasoning with deep learning methods</span></font></li></ul><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">Learning knowledge representations with deep learning</span></font></li><ul class=""><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">deep learning methods for knowledge-base completion</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">deep ontology learning</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">deep learning models for learning knowledge representations from text</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">deep learning ontological annotations</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">Application-specific combinations:</span></font></li><ul class=""><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">Deep Learning, Semantic Web, and natural language</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">Deep Learning, Semantic Web, and computer vision</span></font></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times" class=""><span class="" style="font-stretch: normal; line-height: normal;"></span><span class="" style="-webkit-font-kerning: none;">Deep Learning, Semantic Web, and domain-specific applications</span></font></li></ul></ul></ul><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">IMPORTANT DATES</font></b></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="" color="#ff2600"><strike class="">24 April 2020: Submission deadline</strike> 15 May 2020 (00:00 CEST): Submission deadline</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">1 June 2020: Notification of acceptance</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">12 June 2020: Camera-ready version</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">11-13 July 2020 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"><b class=""></b></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">SUBMISSION INSTRUCTIONS </font></b></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">We invite four types of submissions:</font></span></div><ul class=""><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">long papers of empirically validated ideas and solutions (max. 6 pages)</font></span></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">short papers presenting innovative not fully empirically validated ideas or position papers or accompany a system demonstration (max. 4 pages)</font></span></li><li class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">short system description papers for the WiC-TSV challenge (max. 4 pages) </font></span></li></ul><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Please submit via EasyChair (<a href="https://easychair.org/conferences/?conf=semdeep6" class=""><span class="" style="-webkit-font-kerning: none;">https://easychair.org/conferences/?conf=semdeep6</span></a>) following the provided style guide. Proceedings of SemDeep-6 will be published as ACL Anthology. </font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class=""><br class=""></font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">For more information on the SemDeep-6 workshop, please visit <a href="http://www.dfki.de/~declerck/semdeep-6/" class="">http://www.dfki.de/~declerck/semdeep-6/</a>. </font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">ORGANIZING COMMITTEE</font></b></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Luis Espinosa Anke, Cardiff University, UK</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Thierry Declerck, DFKI GmbH, Germany</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Dagmar Gromann, University of Vienna, Austria</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; text-align: justify; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">=====================================================</font></span></div><div class="" style="margin: 0px; text-align: justify; font-stretch: normal; line-height: normal; min-height: 19px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">WiC-TSV CHALLENGE</font></b></span></div><p dir="ltr" class="" style="line-height: 1.38; text-align: justify; margin-top: 0pt; margin-bottom: 10pt;"><span class="" style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"><font face="Times New Roman" class="">Word Sense Disambiguation (WSD) is a long-standing task in Natural Language Processing and Artificial Intelligence. While progress has been made in recent years, the evaluation of WSD models has been limited to a set of (mostly SemEval-based) standard datasets. </font></span></p><p dir="ltr" class="" style="line-height: 1.38; text-align: justify; margin-top: 0pt; margin-bottom: 10pt;"><font face="Times New Roman" class=""><span class="" style="color: rgb(34, 34, 34); background-color: rgb(255, 255, 255); font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">The SemDeep-6 workshop includes a challenge (shared task) based on </span><span class="" style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">a new multi-domain evaluation benchmark for WSD “Target Sense Verification for Words in Context” (WiC-TSV). </span></font></p><p dir="ltr" class="" style="line-height: 1.38; text-align: justify; margin-top: 0pt; margin-bottom: 10pt;"><span class="" style="font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"><font face="Times New Roman" class="">The main difference between WiC-TSV and common WSD task statement is that in WiC-TSV there is no standard sense inventory that systems need to model in full. Each instance in the dataset is associated with a target word and single sense, and therefore systems are not required to model all senses of the target word, but rather only a single sense. The task is to decide if the target word is used in the target sense or not, a binary classification task. Therefore, the task statement of WiC-TSV resembles the usage of automatic tagging in enterprise settings.</font></span></p><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font face="Times New Roman" class=""><span class="" style="text-align: justify; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">For the WiC-TSV challenge training, development and test sets will be provided (training and development sets already available). For more information and instructions on how to participate, please visit </span><span class="" style="text-align: justify; text-decoration: underline; color: rgb(17, 85, 204); font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;"><a href="https://competitions.codalab.org/competitions/23683" class="">https://competitions.codalab.org/competitions/23683</a></span></font><font face="Times New Roman" class=""><span class="" style="text-align: justify; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">.</span></font><span class="" style="font-family: Times;"> </span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"><b class=""></b></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">IMPORTANT DATES </font></b></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">10 April 2020: Test data release. Evaluation start</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">1 May 2020: Evaluation end</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">15 May 2020: System description paper deadline</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">1 June 2020: Author notifications with reviews</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">12 June 2020: Camera-ready submissions deadline</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">11-13 July 2020 (to be specified): SemDeep-6 co-located with IJCAI-PRICAI</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"><b class=""></b></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal; min-height: 16px;"><font face="Times" class=""><span class="" style="-webkit-font-kerning: none;"><b class=""></b></span><br class=""></font></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><b class=""><font face="Times" class="">ORGANIZING COMMITTEE</font></b></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Anna Breit, Semantic Web Company, Vienna, Austria</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Jose Camacho-Collados, Cardiff University, UK</font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Artem Revenko, Semantic Web Company, Vienna, Austria </font></span></div><div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="-webkit-font-kerning: none;"><font face="Times" class="">Mohammad Taher Pilehvar, Iran University of Science and Technology, Iran </font></span></div></div></div></body></html>