<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=""><div class="">###############################################################</div><div class="">The 36th ACM/SIGAPP Symposium On Applied Computing</div><div class="">Gwangju, Korea</div><div class="">March 22-March 26, 2021</div><div class=""><br class=""></div><div class="">Track on Knowledge Representation and Reasoning (KRR) </div><div class="">Website: <a href="http://www.dmi.unipg.it/bista/organizing/KRR@sac2021/" class="">http://www.dmi.unipg.it/bista/organizing/KRR@sac2021/</a></div><div class=""><br class=""></div><div class="">SUBMISSION DEADLINE: September 15, 2020 </div><div class=""><br class=""></div><div class="">############################################################### </div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Overview: </div><div class="">The topic of the track covers an important field of research in Artificial Intelligence: Knowledge Representation and Reasoning (KRR) is dedicated to representing information about the world in a form that a computer system can utilise to solve complex tasks. Examples of knowledge representation formalisms include semantic nets, systems architecture, frames, rules, and ontologies. Some examples of automated reasoning engines include inference engines, theorem provers, and classifiers. KRR track will be a venue for all the researchers and practitioners working on the fundaments and applications of reasoning, and cross-fertilisation among different areas (e.g., Argumentation and Belief Revision). ACM SAC is ranked CORE:B, MAS:A-, SHINE:A. The average acceptance rate per track is under 25%. KRR track is organised for the fifth consecutive year at SAC. </div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Call for paper: </div><div class="">Knowledge-representation is the field of artificial intelligence that focuses on designing computer representations that capture information about the world that can be used to solve complex problems. Its goal is to understand and build intelligent behaviour from the top-down, focusing on what an agent needs to know with the purpose to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. In KRR a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. Topics of interest include: </div><div class=""><br class=""></div><div class="">• Argumentation. </div><div class="">• Belief revision and update, belief merging. </div><div class="">• Commonsense reasoning. </div><div class="">• Contextual reasoning. </div><div class="">• Description logics. </div><div class="">• Diagnosis, abduction, explanation. </div><div class="">• Inconsistency and exception tolerant reasoning, paraconsistent logics. </div><div class="">• KR and autonomous agents: intelligent agents, cognitive robotics, multi-agent systems. </div><div class="">• KR and decision making, game theory, social choice. </div><div class="">• KR and machine learning, inductive logic programming, knowledge discovery and acquisition. </div><div class="">• Logic programming, answer set programming, constraint (logic) programming. </div><div class="">• Non-monotonic logics, default logics, conditional logics. </div><div class="">• Preferences: modelling and representation, preference-based reasoning. </div><div class="">• Reasoning about knowledge and belief, dynamic epistemic logic, epistemic and doxastic logics. </div><div class="">• Reasoning systems and solvers, knowledge compilation. </div><div class="">• Spatial reasoning and temporal reasoning, qualitative reasoning. </div><div class="">• Uncertainty, representations of vagueness, many-valued and fuzzy logics. </div><div class=""><br class=""></div><div class="">We would like to invite authors to submit papers on research on KRR area, with particular emphasis on assessing the current state of the art and identifying future directions. </div><div class="">Submissions fall into the following categories: </div><div class="">• Original and unpublished research work. </div><div class="">• Reports of innovative computing applications in the arts, sciences, engineering, and business areas. </div><div class="">• Reports of successful technology transfer to new problem domains. </div><div class="">• Reports of industrial experience and demos of new innovative systems. </div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Deadlines and Important Dates:</div><div class="">September 15, 2020: Paper Submission deadline</div><div class="">November 10, 2020: Author notification</div><div class="">November 25, 2020: Camera-ready copy deadline</div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Submissions Instructions for Regular Papers and SRC Abstracts: </div><div class="">Original papers addressing any of the listed topics of interest (or related topics) will be considered. Each submitted paper will be fully refereed and undergo a double-blind review process by at least three referees. Accepted papers will be included in the ACM SAC 2021 proceedings and published in the ACM digital library, being indexed by Thomson ISI Web of Knowledge and Scopus. Submissions should be properly anonymised to facilitate blind reviewing: the author(s) name(s) and address(es) must NOT appear in the body of the paper, and self-reference should be in the third person. </div><div class=""><br class=""></div><div class="">Paper size is *strictly* limited to 8 pages in SAC style; a maximum of 2 additional pages may be included for an additional fee, extending the final version of the accepted paper. </div><div class=""><br class=""></div><div class="">Please check the author kit latex style on the main SAC website: (TO BE ANNOUNCED) (the format is usually the format used in the ACM templates). Papers failing to comply with length limitations risk immediate rejection. </div><div class=""><br class=""></div><div class="">Submissions will be in electronic format, via the website: (TO BE ANNOUNCED) </div><div class="">BE CAREFUL TO SELECT THE KRR TRACK BY CHECKING THE KRR TRACK RADIO BUTTON!! </div><div class=""><br class=""></div><div class="">After completing the submission, please send also an email to <a href="mailto:stefano.bistarelli@unipg.it" class="">stefano.bistarelli@unipg.it</a>. The body of the email should include the title of the paper, the author(s) name(s) and affiliation(s), and the address (including e-mail, telephone, and fax) to which correspondence should be sent. The subject of the email should be “SAC2021 KRR track submission”. </div><div class=""><br class=""></div><div class="">Graduate students are suggested to submit both a regular paper to the KRR track and a 4 page abstract with the same title at the Student Research Competition (SRC) Program, following the instructions published at SAC 2021 website. Authors of selected abstracts will have the opportunity to give poster presentations of their work and compete for three top-winning places. The winners will receive cash awards and SIGAPP recognition certificates during the conference banquet. The winners will also receive SRC travel support (US$500) and are eligible to apply to the SIGAPP Student Travel Award Program (STAP) for additional travel support. </div><div class="">Papers that received high reviews (that is acceptable by reviewer standards) but were not accepted due to space limitation can be invited for the poster session. </div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Chairs: </div><div class="">Stefano Bistarelli, University of Perugia, Italy </div><div class="">Martine Ceberio, University of Texas at El Paso, USA </div><div class="">Eric Monfroy, University of Nantes, France </div><div class="">Francesco Santini, University of Perugia, Italy </div><div class="">Carlo Taticchi, Gran Sasso Science Institute (GSSI), Italy</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Program Committee: </div><div class="">• Mario Alviano, University of Calabria </div><div class="">• Franz Baader, TU Dresden </div><div class="">• Federico Cerutti, University of Brescia</div><div class="">• Emmanuel Desmontils, Univesity of Nantes </div><div class="">• Wolfgang Faber, Huddersfield School of computing </div><div class="">• Lluis Godo, Artificial Intelligence Research Institute (IIIA) </div><div class="">• Matti Jarvisalo, University of Helsinki </div><div class="">• Souhila Kaci, LIRMM Montpellier </div><div class="">• Gabriele Kern-Isberner, TU Dortmund </div><div class="">• Costas Koutras, University of Peloponnese </div><div class="">• Joao Leite, New University of Lisbon </div><div class="">• Beishui Liao, Zhejiang University</div><div class="">• Jean-Guy Mailly, Paris Descartes </div><div class="">• Marco Maratea, University of Genova </div><div class="">• Nico Potyka, University of Osnabrück, Germany</div><div class="">• Odinaldo Rodrigues, UCL London </div><div class="">• Guillermo R. Simari, Universidad Nacional del Sur </div><div class="">• Tran Cao Son, New Mexico State University </div><div class="">• Paolo Torroni, University of Bologna </div><div class="">• Johannes Wallner, TU Wien </div><div class="">• Roland Yap, National University of Singapore</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Student Research Competition (SRC): Student Research Competition (SRC) Program: Graduate students are invited to submit research abstracts (maximum of 4 pages in ACM camera-ready format) following the instructions published at SAC 2021 website. Submission of the same abstract to multiple tracks is not allowed. All research abstract submissions will be reviewed by researchers and practitioners with expertise in the track focus area to which they are submitted. </div><div class=""><br class=""></div><div class="">SAC No-Show Policy: </div><div class="">Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library.</div><div class="">
<br class=""> <div style="color:#424242;font-family:sans-serif" class=""> -- <p style="font-weight:bold;margin:0 0 .5em" class="">Carlo Taticchi</p> <p style="margin:0" class="">PhD Student, Gran Sasso <span style="color:#ff6f00" class="">Science </span>Institute</p> <p style="color:#757575;margin:0" class=""><a style="color:#757575;text-decoration:none" href="http://cybersecuritylab.unipg.it" class="">cybersecuritylab.unipg.it</a> - <a style="color:#757575;text-decoration:none" href="http://krarlab.dmi.unipg.it" class="">krarlab.dmi.unipg.it</a></p> <p style="margin:.8em 0 0 0" class=""> <a href="https://www.linkedin.com/in/carlotat/" style="color:#424242;height:1.2em;margin-right:.2em;width:1.2em;background-size:contain;background-repeat:no-repeat;display:inline-block;background-image:url('https://www.carlotaticchi.it/images/icons/low_res/linkedin_c.png')" class=""></a> <a href="https://orcid.org/0000-0003-1260-4672" style="color:#424242;height:1.2em;margin-right:.2em;width:1.2em;background-size:contain;background-repeat:no-repeat;display:inline-block;background-image:url('https://www.carlotaticchi.it/images/icons/low_res/orcid_c.png')" class=""></a> <a href="http://dblp.uni-trier.de/pers/hd/t/Taticchi:Carlo" style="color:#424242;height:1.2em;margin-right:.2em;width:1.2em;background-size:contain;background-repeat:no-repeat;display:inline-block;background-image:url('https://www.carlotaticchi.it/images/icons/low_res/dblp_c.png')" class=""></a> <a href="https://www.researchgate.net/profile/Carlo_Taticchi" style="color:#424242;height:1.2em;margin-right:.2em;width:1.2em;background-size:contain;background-repeat:no-repeat;display:inline-block;background-image:url('https://www.carlotaticchi.it/images/icons/low_res/researchgate_c.png')" class=""></a> <a href="https://scholar.google.it/citations?user=uSeA5SgAAAAJ" style="color:#424242;height:1.2em;margin-right:.2em;width:1.2em;background-size:contain;background-repeat:no-repeat;display:inline-block;background-image:url('https://www.carlotaticchi.it/images/icons/low_res/googlescholar_c.png')" class=""></a> </p> </div>
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