<div dir="ltr"><div><div><div><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:7ub"><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:7uc"><div dir="ltr">Dear colleagues and researchers,<div><div dir="ltr"><p>Please consider to contribute to the 3rd edition of the international workshop  "<b>Deep Learning meets Ontologies and Natural Language Processing</b>"  which will be held online or in Hersonissos, Greece - May 29 - June 2, 2022.</p><p>=========================================================================<br></p><p>                           The deadline for paper submissions is <span style="background-color:rgb(255,255,0)"><b>March 18th, 2022</b></span></p><p>=========================================================================</p><p><b>DeepOntoNLP-2022</b><br></p><p>3rd International workshop on Deep Learning meets Ontologies and Natural Language Processing at <a href="https://2022.eswc-conferences.org/" target="_blank">ESWC 2022</a>, Hersonissos, Greece - May 29 - June 2, 2022<br>Workshop website: <a href="https://sites.google.com/view/deepontonlp2022/" rel="noreferrer" target="_blank">https://sites.google.com/view/deepontonlp2022/</a><br></p><p>=========================================================================   <br></p><h3 id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-m_3341920362080817614gmail-h.j64uk84laxfd" dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:4pt;margin-top:14pt;padding:0px"><div><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><strong>Context</strong></span></span></font></div></h3><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">In recent years, deep learning has been 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 analy</span><span style="color:rgb(0,0,0);vertical-align:baseline">z</span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">e data and understand what knowledge is represented in them, and how they generate decisions.</span></span></font></p><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search</span><span style="color:rgb(0,0,0);vertical-align:baseline">, </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">and summarization. Previous works ha</span><span style="color:rgb(0,0,0);vertical-align:baseline">ve</span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> 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</span><span style="color:rgb(0,0,0);vertical-align:baseline">, </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">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 recent</span><span style="color:rgb(0,0,0);vertical-align:baseline"> </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">ontologies and tries to model data representations with many layers of non-linear transformations.</span></span></font></p><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">The combination of DL, ontologies</span><span style="color:rgb(0,0,0);vertical-align:baseline">, </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">and NLP might be beneficial for different tasks:</span></span></font></p><ul style="list-style-type:square;margin-left:0px;margin-right:0px;padding:0px"><li dir="ltr" style="margin-left:30pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-left:0px;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment</span><span style="color:rgb(0,0,0);vertical-align:baseline">, </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">and integration,</span></span></font></p></li><li dir="ltr" style="margin-left:30pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-left:0px;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations),</span></span></font></p></li><li dir="ltr" style="margin-left:30pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-left:0px;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc.</span></span></font></p></li><li dir="ltr" style="margin-left:30pt"><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-left:0px;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc.</span></span></font></p></li></ul><h3 id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-m_3341920362080817614gmail-h.ki5gqz7ttpbz" dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:4pt;margin-top:14pt;padding:0px"><div><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"><strong>Objective</strong></span></span></font></div></h3><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">This</span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline"> </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">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 semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science</span><span style="color:rgb(0,0,0);vertical-align:baseline">, </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">and academia to exchange ideas and discuss the results of ongoing research in natural language processing, structured knowledge</span><span style="color:rgb(0,0,0);vertical-align:baseline">, </span><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">and deep learning approaches.</span></span></font></p><p dir="ltr" style="background-color:transparent;border-color:currentcolor;border-style:none;border-width:medium;line-height:1.38;margin-bottom:12pt;margin-top:12pt;padding:0px"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">========================================================================<br></span></span></font></p><p></p></div></div></div><div></div></div></div></div></div></div><div><div><div><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:7ua"><table role="presentation"><tbody><tr><td><br></td><td><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We invite the submission of original works that are related -- but are not limited to -- the topics below.</span></span></font></p><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Topics of interest:</span></span></font></h3><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Construction ontology embeddings</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Ontology-based text classification</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Learning ontology embeddings</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Semantic role labeling</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Ontology reasoning with Deep Neural Networks</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Deep learning for ontological semantic annotations</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Spatial and temporal ontology embeddings</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Ontology alignment and matching based on deep learning models</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Ontology learning from text using deep learning models</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Unsupervised Learning</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Text classification using deep models</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Neural machine translation</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Deep question answering</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Deep text summarization</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Deep speech recognition</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">and so on.</span></span></font></p></li></ul><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Submission:</span></span></font></h3><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">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.springer.com/fr/computer-science/lncs/conference-proceedings-guidelines" target="_blank" style="text-decoration-line:none"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> </span><span style="color:rgb(0,101,128);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">LNCS instructions for authors</span></a><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">. Papers are to be submitted through </span><span style="color:rgb(33,33,33);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">the workshop's</span><a href="https://easychair.org/conferences/?conf=deepontonlp2022" target="_blank" style="text-decoration-line:none"><span style="color:rgb(0,101,128);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap"> EasyChair</span></a><span style="color:rgb(33,33,33);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> submission page</span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">.</span></span></font></p><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We welcome the following types of contributions:</span></span></font></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion.</span></span></font></p></li></ul><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and at the conference. For further instructions please refer to the</span><a href="https://2022.eswc-conferences.org/" target="_blank" style="text-decoration-line:none"><span style="color:rgb(0,101,128);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap"> ESWC 2022</span></a><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> page.</span></span></font></p><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Important dates:</span></span></font></h3><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Workshop paper submission due: March 18th, 2022</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Workshop paper notifications: April 15th, 2022</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Workshop paper camera-ready versions due: April 22th, 2022</span></span></font></p></li><li dir="ltr" style="margin-left:22.5pt;list-style-type:square;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Workshop: 28th or the 29th of May, 2022 (Half-Day)</span></span></font></p></li></ul><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">All deadlines are 23:59 anywhere on earth (UTC-12).</span></span></font></p><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Publication:</span></span></font></h3><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">The best papers from this workshop may be included in the supplementary proceedings of ESWC 2022.</span></span></font></p><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">========================================================================</span></span></font></p><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Workshop Chairs</span></span></font></h3><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">     Sarra Ben Abbès</span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, </span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Engie, France</span></span></font></p><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">     Rim Hantach</span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, </span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Engie, France</span></span></font></p><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">     Philippe Calvez</span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, </span><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Engie, France</span></span></font></p><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:arial,sans-serif"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"></span></span></font></p></td></tr></tbody></table></div></div></div></div><div style="width:1437px"><div><div><div><div><div><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:3" style="height:772px"><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:1" style="min-height:582px"><div><div role="main"><div><table role="presentation" cellpadding="0"><tbody><tr><td><div><div><div><div role="list"><div role="listitem"><div><div><div><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:7ue"><div><div><div><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:7ua"><table role="presentation"><tbody><tr><td><font size="2"><span style="font-family:arial,sans-serif"><br></span></font></td></tr></tbody></table></div></div></div></div></div></div></div></div></div></div></div></div><div><div role="contentinfo" style="padding-bottom:0px"><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gmail-m_4226277856547495074gmail-m_-6287391162320206889gmail-m_1771340814683082616gmail-m_-3509522836226540093gmail-:7um"><div><div><font size="2"><span style="font-family:arial,sans-serif"><a href="https://drive.google.com/u/0/settings/storage?hl=fr&utm_medium=web&utm_source=gmail&utm_campaign=storage_meter&utm_content=storage_normal" target="_blank"><div><div><span dir="ltr"></span><span dir="ltr"></span></div></div></a></span></font></div></div></div><div><div id="gmail-m_-7667631491332845483m_875248122562174771gmail-m_-3403197151848712639gma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