<div dir="ltr"><div style="margin:0px;padding:0px 0px 20px;width:1236px;font-family:Roboto,RobotoDraft,Helvetica,Arial,sans-serif;font-size:medium"><div><div id="gmail-m_6551957640035661100gmail-m_-8157310723271476731gmail-:5na" style="font-size:0.875rem;direction:ltr;margin:8px 0px 0px;padding:0px"><div id="gmail-m_6551957640035661100gmail-m_-8157310723271476731gmail-:5nb" style="overflow:hidden;font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:small;line-height:1.5;font-family:Arial,Helvetica,sans-serif"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="margin:0cm 0cm 12pt;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">Dear colleagues and researchers,</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif;text-align:center">Please
 consider submitting a paper for the 1st International workshop on 
"Joint Use of Probabilistic Graphical Models and Ontology" which will be
 held online - November 19-24, 2021.<br></span></font></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;text-align:center;font-family:Calibri,sans-serif"><font size="6"><span style="color:rgb(153,0,255)"><b><span style="font-family:Arial,sans-serif" lang="EN-US">PGMOnto: </span></b></span><b><span style="font-family:Arial,sans-serif" lang="EN-US"><font color="#a64d79"><span style="color:rgb(153,0,255)">Joint Use of Probabilistic Graphical Models and Ontology</span><br></font></span></b></font></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;text-align:center;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif">1st International Workshop, </span><span style="font-family:"Times New Roman",serif">in </span>conjunction<span style="font-family:"Times New Roman",serif"> with </span><a href="https://kgswc.org/" style="font-family:"Times New Roman",serif" target="_blank">KGSWC 2021</a></font></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;text-align:center;font-family:Calibri,sans-serif"><font size="4">November 19- 24, 2021 - Online</font></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;text-align:center;font-size:12pt;font-family:Calibri,sans-serif"><a href="https://kgswc.org/pgmonto2021/" target="_blank">https://kgswc.org/pgmonto2021/</a></p><br><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-family:"Times New Roman",serif" lang="EN-US"></span></b></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-family:"Times New Roman",serif" lang="EN-US"><br></span></b></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><font size="4"><b><span style="font-family:"Times New Roman",serif" lang="EN-US">Important dates:</span></b></font><span style="font-family:"Times New Roman",serif" lang="EN-US"><br><font size="4">• Workshop paper submission due: <b><span style="background:yellow none repeat scroll 0% 0%">October 18, 2021</span></b><br>• Workshop paper notifications: October 29, 2021<br>• Workshop paper camera-ready versions due: November 08, 2021<br>• Workshop: November 19-24, 2021 (half-day)</font></span></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;font-size:12pt;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">All deadlines are 23:59 anywhere on earth (UTC-12).</span></font><b><br></b></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Context of the workshop:</span></b></p><div><font size="4"><span style="font-family:"times new roman",serif">An
 ontology is well known to be the best way to represent knowledge in a 
domain of discourse. It is defined by Gruber as “an explicit 
specification of a conceptualization”. It allows to represent explicitly
 and formally existing entities, their relationships, and their 
constraints in an application domain. This representation is the most 
suitable and beneficial way to resolve many challenging problems related
 to the information domain (e.g., semantic interoperability among 
systems, knowledge sharing, and knowledge capitalization). Ontology 
formalization can be based on First order logic (FOL) to describe 
concepts, relationships, and constraints, enabling it to make inferences
 and giving it a graphical representation. Using ontology has many 
advantages, among them we can cite ontology reusing, reasoning and 
explanation, commitment, and agreement on a domain of discourse, 
ontology evolution and mapping, etc.</span></font><font size="4"><span style="font-family:"times new roman",serif"></span></font></div><p><font size="4"><span style="font-family:"times new roman",serif">Over
 the last three decades, graphical probabilistic models (PGMs) have 
enjoyed a surge of interest as a practically feasible framework of 
expert knowledge encoding and as a new comprehensive data analysis 
framework.</span></font></p><font size="4"><span style="font-family:"times new roman",serif"></span></font><p><font size="4"><span style="font-family:"times new roman",serif">Probabilistic
 graphical models (PGMs) such as Bayesian network, influence diagram or 
probabilistic relational model are considered as one of the most 
successful tools that enable a compact representation of complex systems
 and the increased ability to effectively learn and perform inference in
 large networks. Besides the compact representation of probability, PGMs
 are also intuitively easier for a human to understand than joint 
probabilities because they highlight the direct dependencies between 
random variables and their overall semantics is easily captured visually
 through their graphical representation.</span></font></p><font size="4"><span style="font-family:"times new roman",serif"></span></font><p><font size="4"><span style="font-family:"times new roman",serif">In
 practice, the combination of PGMs and ontologies might be beneficial to
 have high expressiveness and reasoning possibilities under uncertainty.
 Despite the difference between these two domain representation models, 
they have the potential to complement each other: part of the value of 
ontology baseline knowledge may be used to enhance PGM by resolving 
challenging tasks: (i) the identification of relevant variables 
(variable selection), (ii) the determination of structural relationships
 between the considered variables (arcs), and (iii) the estimation of 
parameters associated to the model. Once the PGM is learned, its results
 can be used together with an ontology reasoning engine to perform 
probabilistic inference.</span></font></p><font size="4"><span style="font-family:"times new roman",serif"></span></font><p><font size="4"><span style="font-family:"times new roman",serif">This
 first regular workshop aims at demonstrating recent and future advances
 in Semantic Probabilistic Graphical Models and Probabilistic 
Ontologies. Moreover, this workshop offers an invaluable opportunity to 
boost collaboration and conversation between Industrial Experts and 
academic researchers, allowing therefore exchanging ideas and presenting
 results of on-going research in structured knowledge and causality 
approaches.</span></font></p><p style="margin:0cm 0cm 7.5pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:border-box;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-US"></span></p><p style="margin:0cm 0cm 7.5pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt" lang="EN-US">Objective:</span></b></p><p style="margin:0cm 0cm 7.5pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-family:"Times New Roman",serif"><font size="4"><span lang="EN-US">We
 invite submission of papers describing innovative research and 
applications around the following topics. Papers that introduce new 
theoretical concepts or methods, help to develop a better understanding 
of new emerging concepts through extensive experiments, or demonstrate a
 novel application of these methods to a domain are encouraged.</span></font></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Topics of interests</span></b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">:</span><span style="font-family:"Times New Roman",serif" lang="EN-US"><br></span></p><ul><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">Construction of probabilistic ontologies</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">Construction of semantic probabilistic graphical model</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">Semantic causality and probability</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">Causality and ontology</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">PGM for ontology mapping</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">PGM learning</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">Ontology for PGM construction</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">Probabilistic inference engine</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">Tools, systems and applications</span></font></li><li style="margin-left:15px"><font size="4"><span style="font-family:"times new roman",serif">and so on.<br></span></font></li></ul><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Submission:</span></b></p><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">The
 workshop is open to submit unpublished work resulting from research 
that presents original scientific results, methodological aspects, 
concepts and approaches. All submissions are not anonymous and must be 
PDF documents written in English and formatted using the following style
 files: </span><span style="color:rgb(5,99,193);text-decoration-line:underline"><span style="color:rgb(68,114,196)" lang="EN-US"><a href="http://www.springer.com/%20computer/lncs/lncs+authors?SGWID=0-40209-0-0-0?SGWID=0-40209-0-0-0" style="color:rgb(5,99,193)" target="_blank"><span style="font-family:"Times New Roman",serif;color:rgb(68,114,196)">KGSWC2021_authors_kit</span></a></span></span></font></p><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">Papers are to be submitted through the workshop's </span><a href="https://easychair.org/conferences/?conf=pgmonto2021" target="_blank"><u><span style="font-family:"Times New Roman",serif"></span></u></a><u><a style="color:rgb(5,99,193)"><span lang="EN-US">EasyChair</span></a></u><span style="font-family:"Times New Roman",serif" lang="EN-US"> submission page.</span></font></p><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">We welcome the following types of contributions:</span></font></p><ul style="margin-top:0cm;margin-bottom:0cm" type="square"><li class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><b><span style="font-family:"Times New Roman",serif" lang="EN-US">Full papers</span></b><span style="font-family:"Times New Roman",serif" lang="EN-US"> (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics.</span></font></li><li class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><b><span style="font-family:"Times New Roman",serif" lang="EN-US">Short papers</span></b><span style="font-family:"Times New Roman",serif" lang="EN-US"> (6-8 pages): Ongoing works with relevant preliminary results, opened to discussion.</span></font><br><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US"></span><span style="font-family:"Times New Roman",serif" lang="EN-US">Accepted papers are planned to publish with Springer Proceeding (Approval Pending)</span></font></li></ul><br><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US"></span></font></p><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">At
 least one author of each accepted paper must register for the workshop,
 in order to present the paper. For further instructions, please refer 
to the </span><u><span style="font-family:"Times New Roman",serif"><a href="https://kgswc.org/" style="color:rgb(5,99,193)" target="_blank"><span lang="EN-US">KGSWC 2021</span></a></span></u><span style="font-family:"Times New Roman",serif" lang="EN-US"> page.</span></font></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US"><br></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Workshop chairs:</span></b></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US"></span><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US"></span></b><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">Sarra Ben Abbès, Engie, France</span></font></p><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">Ahmed Mabrouk, Engie, France</span></font></p><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">Lynda Temal, Engie, France</span></font></p><p class="MsoNormal" style="margin:0cm;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif" lang="EN-US">Philippe Calvez, Engie, France</span></font></p></div></div></div></div></div></div></div></div><div class="gmail-adL"><br><br></div></div>