<div dir="ltr"><span style="background-color:rgba(0,0,0,0);font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0)">Dear colleagues and researchers,</span><span style="font-family:arial,sans-serif"></span><div class="gmail_quote"><div dir="ltr"><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Please consider submitting a paper for the 2nd International workshop  "<b>Deep Learning meets Ontologies and Natural Language Processing</b>"  which will be held online or in Hersonissos, Greece - June 6th or 7th 2021.</span><br></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"> </span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif"><span style="background-color:rgb(255,255,0)"><span style="font-family:arial,sans-serif">** <b>DeepOntoNLP</b> -  Call for Papers ***</span></span></span></p><div><br></div><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) </span><span style="font-family:arial,sans-serif"><a href="https://sites.google.com/view/deepontonlp-eswc2021/" target="_blank"><span lang="EN-US" style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">https://sites.google.com/view/deepontonlp-eswc2021</span></a></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">in conjunction with </span><span style="font-family:arial,sans-serif"><a href="https://2021.eswc-conferences.org/" target="_blank"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">ESWC 2021</span></a></span><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> online or in Hersonissos, Greece</span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="background-color:rgb(255,255,0)"><span style="font-family:arial,sans-serif"><b>*Workshop description*</b></span></span><span style="font-family:"Times New Roman",serif"></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions.</span><span style="font-family:arial,sans-serif"></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations.</span><span style="font-family:arial,sans-serif"></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">The combination of DL, ontologies and NLP might be beneficial for different tasks:</span><span style="font-family:arial,sans-serif"></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 51pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">       </span></span></span><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration,</span><span style="font-family:arial,sans-serif"></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 51pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">       </span></span></span><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations),</span><span style="font-family:arial,sans-serif"></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 51pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">       </span></span></span><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc.</span><span style="font-family:arial,sans-serif"></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 51pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">       </span></span></span><span style="font-family:"Times New Roman",serif"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc.</span></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 51pt;font-size:12pt;font-family:Calibri,sans-serif"><br><span style="font-family:"Times New Roman",serif"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"></span></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="background-color:rgb(255,255,0)"><b><span style="color:rgb(0,0,0);font-family:arial,sans-serif;font-size:12pt">*Objective*</span></b></span><font size="4"><span style="font-family:"Times New Roman",serif"></span></font></p><div><span style="font-family:arial,sans-serif"><font size="4"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">This</span><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring tog</span><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">ether an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in natural language processing, structured knowledge and deep learning approaches.</span></font></span></div><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="color:black"></span><span style="font-family:"Times New Roman",serif"></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">We invite the submission of original works that is related -- but are not limited to -- the topics below.</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"> </span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="background-color:rgb(255,255,0)"><b><span style="color:black">*Topics of interests*</span></b></span><b><span style="font-size:13.5pt"></span></b></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt">·<span style="font-size:7pt;font-kerning:auto">       </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Construction ontology embeddings</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Ontology-based text classification</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Learning ontology embeddings</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Semantic role labelling</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Ontology reasoning with Deep Neural Networks</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Deep learning for ontological semantic annotations</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Spatial and temporal ontology embeddings</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Ontology alignment and matching based on deep learning models</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Ontology learning from text using deep learning models</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Unsupervised Learning</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Text classification using deep models</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Neural machine translation</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Deep question answering</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Deep text summarization</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">Deep speech recognition</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt 15pt;text-indent:0cm;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="font-size:10pt"><span style="font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">·</span><span style="font-size:12pt;font-kerning:auto;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">    </span></span><span style="color:rgb(0,0,0);font-size:12pt;background-color:rgba(0,0,0,0)">and so on.</span></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><b><span style="color:black"><span style="background-color:rgb(255,255,0)">*Submission*</span></span></b><b><span style="font-size:13.5pt"></span></b></span></p><span style="font-family:arial,sans-serif"></span><p dir="ltr"><font size="4"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to </span><a href="https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Ffr%2Fcomputer-science%2Flncs%2Fconference-proceedings-guidelines&sa=D&sntz=1&usg=AFQjCNGhadQkou1B6uTwaCrX2p9HjIC9Iw" target="_blank"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">LNCS instructions for authors</span></a><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">. Papers are to be submitted through the </span><a href="https://easychair.org/conferences/?conf=deepontonlp2021" target="_blank"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Easychair Conference Management System</span></a><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">.</span></font></p><p dir="ltr"><font size="4"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">We welcome the following types of contributions:</span></font></p><ul style="list-style-type:square"><li dir="ltr" style="margin-left:15pt"><p dir="ltr"><font size="4"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Full research pa</span><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">pers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics</span></font></p></li><li dir="ltr" style="margin-left:15pt"><p dir="ltr"><font size="4"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion.</span></font></p></li></ul><p dir="ltr"><font size="4"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the </span><a href="https://www.google.com/url?q=https%3A%2F%2F2021.eswc-conferences.org%2F&sa=D&sntz=1&usg=AFQjCNEOdqEjLIkWyjAg16Zm5dm7MZ9kyg" target="_blank"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">ESWC 2021</span></a><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> page.</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="color:black"></span><span style="color:black"></span></span></p><span style="font-family:arial,sans-serif"></span><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="background-color:rgb(255,255,0)"><b><span style="color:rgb(0,0,0);font-size:12pt">*Important dates*</span></b></span><span style="font-size:13.5pt"></span></span></p><span style="font-family:arial,sans-serif"></span><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:7.5pt;list-style-type:square;font-size:11pt;font-family:Arial"><p dir="ltr" style="line-height:1.55;margin-top:4.5pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:arial,sans-serif;color:rgb(0,0,0);line-height:normal;background-color:rgba(0,0,0,0)">Workshop paper submission due: </span><b><span style="font-size:12pt;font-family:arial,sans-serif;line-height:normal;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">March 1st, 2021</span></b></p></li><li dir="ltr" style="margin-left:7.5pt;list-style-type:square;font-size:11pt;font-family:Arial"><p dir="ltr" style="line-height:1.55;margin-top:4.5pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:arial,sans-serif;color:rgb(0,0,0);line-height:normal;background-color:rgba(0,0,0,0)">Workshop paper notifications: </span><span style="font-size:12pt;font-family:arial,sans-serif;line-height:normal;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">March 31st, 2021</span></p></li><li dir="ltr" style="margin-left:7.5pt;list-style-type:square;font-size:11pt;font-family:Arial"><p dir="ltr" style="line-height:1.55;margin-top:4.5pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:arial,sans-serif;color:rgb(0,0,0);line-height:normal;background-color:rgba(0,0,0,0)">Workshop paper camera-ready versions due: </span><span style="font-size:12pt;font-family:arial,sans-serif;line-height:normal;color:rgb(0,0,0);background-color:rgba(0,0,0,0)">April 9th, 2021</span></p></li><li dir="ltr" style="margin-left:7.5pt;list-style-type:square;font-size:11pt;font-family:Arial"><p dir="ltr" style="line-height:1.55;margin-top:4.5pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:arial,sans-serif;color:rgb(0,0,0);line-height:normal;background-color:rgba(0,0,0,0)">Workshop: </span><span style="font-size:12pt;font-family:arial,sans-serif;color:rgb(0,0,0);line-height:normal;background-color:rgba(0,0,0,0)"><span style="line-height:normal;font-size:12pt;background-color:rgba(0,0,0,0)">June 6th or 7th, 2021 (Half-Day)</span></span></p></li></ul><p dir="ltr" style="line-height:1.55;margin-top:10.5pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:arial,sans-serif;color:rgb(0,0,0);line-height:normal;background-color:rgba(0,0,0,0)">All deadlines are 23:59 anywhere on earth (UTC-12).</span></p><span style="font-family:arial,sans-serif"><span style="color:black"></span></span><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif;font-size:12pt;color:rgb(0,0,0);background-color:rgba(0,0,0,0)"> </span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="background-color:rgb(255,255,0)"><b><span style="color:rgb(0,0,0);font-size:12pt">*Publication*</span></b></span><span style="font-size:13.5pt"></span></span></p><span style="font-family:arial,sans-serif"></span><p dir="ltr" style="line-height:1.55;margin-top:10.5pt;margin-bottom:0pt"><span style="font-size:12pt;font-family:arial,sans-serif;color:rgb(0,0,0);line-height:normal;background-color:rgba(0,0,0,0)">The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021.</span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><u><span style="color:black"></span></u></span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"> </span></p><span style="font-family:arial,sans-serif"></span><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><span style="background-color:rgb(255,255,0)"><font size="4"><span style="font-family:arial,sans-serif"><b><span style="color:black">*Workshop chairs*</span></b></span></font></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><br><font size="4"><span style="font-family:arial,sans-serif"><b><span style="color:black"></span></b></span></font></p><font size="4"><span style="font-family:arial,sans-serif"></span></font><font size="4"><span style="font-family:arial,sans-serif"></span></font><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font size="4"><span style="font-family:arial,sans-serif"><b><span style="color:black">Sarra BEN ABBES</span></b><span style="color:black">, Engie, France</span></span></font></p><font size="4"><span style="font-family:arial,sans-serif"></span></font><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font size="4"><span style="font-family:arial,sans-serif"><b><span style="color:black">Rim HANTACH</span></b><span style="color:black">, Engie, France</span></span></font></p><font size="4"><span style="font-family:arial,sans-serif"></span></font><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font size="4"><span style="font-family:arial,sans-serif"><b><span style="color:black">Philippe CALVEZ</span></b><span style="color:black">, Engie, France</span></span></font></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt"><span style="font-family:arial,sans-serif"><span style="color:black"><br></span></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><span style="background-color:rgb(255,255,0)"><b><font size="4"><span style="font-family:arial,sans-serif"><span style="color:black">*Program Committee*</span></span></font></b></span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><b><font size="4"><span style="font-family:arial,sans-serif"><span style="color:black"><br></span></span></font></b></p><font size="4">Nada Mimouni, CNAM, France<br>Lynda Temal, Engie, France<br>Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France<br>Valentina Janev, Mihajlo Pupin Institute, Serbia<br>Mohamed Hedi Karray, LGP-INP-ENIT, Université de Toulouse, France<br>Efstratios Kontopoulos, Catalink Ltd, Cyprus<br>Wei Hu, Nanjing University, China<br>Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico<br>Linda Elmhadhbi, Université de Toulouse, France</font></div><div dir="ltr"><span style="box-sizing:border-box;font-size:13pt;font-variant-ligatures:none;white-space:pre-wrap;color:rgb(32,33,36);font-family:Arial;vertical-align:baseline"><span style="box-sizing:border-box">Amir Laadhar</span><span style="font-weight:700;box-sizing:border-box">, </span></span><span style="box-sizing:border-box;color:rgb(33,33,33);font-family:Roboto;font-size:13pt;font-variant-ligatures:none;white-space:pre-wrap;vertical-align:baseline">Aalborg University, Denmark</span><font size="4"><br></font></div></div></div>