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<div class="">[Apologies for cross-posting]</div>
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<div class="">EKAW 2020 FINAL CALL FOR PAPERS</div>
<div class=""><a href="https://ekaw2020.inf.unibz.it" class="">https://ekaw2020.inf.unibz.it</a></div>
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<div class="">Part of the Bolzano Summer of Knowledge 2020</div>
<div class=""><a href="https://summerofknowledge.inf.unibz.it" class="">https://summerofknowledge.inf.unibz.it</a></div>
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<div class="">UPDATES FOR ORGANISATION OF EKAW 2020</div>
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<div class="">Responding to the current health crisis, the new submission deadline for abstracts has been set to May 25, and full papers are due June 1.</div>
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<div class="">EKAW 2020 will happen 16-20 September 2020 as a virtual event.</div>
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<div class="">Please note further:</div>
<div class="">- The organisation team of EKAW 2020 is committed to publishing the EKAW proceedings with Springer in 2020.</div>
<div class="">- EKAW will happen as a virtual conference, physical attendance of authors of accepted papers at EKAW will therefore not be required.</div>
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<div class="">- Keynote Speakers are confirmed as virtual events.</div>
<div class="">- The call for (virtual) Posters & Demos is forthcoming.</div>
<div class="">- Participation/Publishing at EKAW will be at a heavily discounted fee (announced soon).</div>
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<div class="">See announcement ‘Covid 19’ for future updates: <a href="https://ekaw2020.inf.unibz.it/covid-19" class="">
https://ekaw2020.inf.unibz.it/covid-19</a></div>
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<div class="">Important New Dates:</div>
<div class="">* Abstract Submission: May 25</div>
<div class="">* Paper Submission: June 1</div>
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<div class="">KEYNOTE SPEAKERS: </div>
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<div class="">* Axel-Cyrille Ngonga Ngomo (Paderborn University, Germany)</div>
<div class="">* Toby Walsh (University of New South Wales, Australia)</div>
<div class="">* Diana Maynard (University of Sheffield, United Kingdom)</div>
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<div class="">WORKSHOPS</div>
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<div class="">There will be two workshops at EKAW 2020: the 5th International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE), and the Workshop on Scalable Knowledge Graph Engineering (SKALE). See more details in the Accepted Workshops
page: <a href="https://ekaw2020.inf.unibz.it/accepted-workshops" class="">https://ekaw2020.inf.unibz.it/accepted-workshops</a></div>
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<div class="">RESEARCH, IN-USE AND POSITION PAPERS</div>
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<div class="">The 22nd International Conference on Knowledge Engineering and Knowledge Management concerns all aspects of eliciting, acquiring, modeling and managing knowledge, and the role of knowledge in the construction of systems and services for the semantic
web, knowledge management, e-business, natural language processing, intelligent information integration, and so on.</div>
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<div class="">The special theme of EKAW 2020 is "Ethical and Trustworthy Knowledge Engineering". While recent reported breaches relate predominantly to machine learning systems, it is not impossible to envision ethical breaches in knowledge engineering more
broadly and, conversely, devise methods and techniques to ensure no or minimal harm in knowledge acquisition, modelling, and knowledge-driven information systems. EKAW 2020 will put a special emphasis on the importance of Knowledge Engineering and Knowledge
Management to keep fostering trustworthy systems.</div>
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<div class="">PROCEEDINGS</div>
<div class="">=============</div>
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<div class="">The proceedings of the research track will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series (<a href="http://www.springer.com/lncs" class="">http://www.springer.com/lncs</a>).</div>
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<div class="">TOPICS OF INTEREST</div>
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<div class="">EKAW 2020 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management.</div>
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<div class="">In particular, but not exclusively, we solicit papers about methods, tools and methodologies on the following topics:</div>
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<div class="">- Ethical and Trustworthy Knowledge Engineering</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Ethics and trust in automated reasoning</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Algorithmic transparency and explanations for knowledge-based systems</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge and ethics</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Ontologies for trust and ethics</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Trust and privacy in knowledge representation</div>
<div class="">- Knowledge Engineering and Acquisition</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Tools and methodologies for ontology engineering</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Ontology design patterns</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Ontology localisation</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Multilinguality in ontologies</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Ontology alignment</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge authoring and semantic annotation</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.)</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Semi-automatic knowledge acquisition, e.g., ontology learning</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Collaborative knowledge acquisition and formalisation</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Mining the Semantic Web and the Web of Data</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Ontology evaluation and metrics</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Uncertainty and vagueness in knowledge representation</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Dealing with dynamic, distributed and emerging knowledge</div>
<div class="">- Knowledge Management</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Methodologies and tools for knowledge management</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge sharing and distribution, collaboration</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Best practices and lessons learned from case studies</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Provenance and trust in knowledge management</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* FAIR data and knowledge</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Methods for accelerating take-up of knowledge management technologies</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Corporate memories for knowledge management</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge evolution, maintenance and preservation</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Incentives for human knowledge acquisition and data quality improvement (e.g. games with a purpose)</div>
<div class="">- Social and Cognitive Aspects of Knowledge Representation</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Similarity and analogy-based reasoning</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge representation inspired by cognitive science</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Synergies between humans and machines</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge emerging from user interaction and networks</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Knowledge ecosystems</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Expert finding, e.g., by social network analysis</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Collaborative and social approaches to knowledge management and acquisition</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Crowdsourcing in knowledge management</div>
<div class="">- Knowledge discovery</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Mining patterns and association rules</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Mining complex data: numbers, sequences, trees, graphs</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Formal Concept Analysis and extensions</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Numerical data mining methods and knowledge processing</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Mining the web of data for knowledge construction</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Text mining and ontology engineering</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Classification and clustering for knowledge management</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Symbolic and sub-symbolic learning machine learning </div>
<div class="">- Applications in specific domains such as:</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* eGovernment and public administration</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Life sciences, health and medicine</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Humanities and Social Sciences</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Automotive and manufacturing industry</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Cultural heritage</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Digital libraries</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* Geosciences</div>
<div class=""><span class="Apple-tab-span" style="white-space:pre"></span>* ICT4D (Knowledge in the developing world)</div>
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<div class="">TYPE OF PAPERS</div>
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<div class="">We will accept different types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will
be subject to its own evaluation criteria. The Programme Committee will also make sure that there is a reasonable balance of the paper types accepted. At submission time the paper has to be clearly identified as belonging to one of the following categories.</div>
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<div class="">* Research papers: These are standard papers presenting a novel method, technique or analysis with appropriate empirical or other types of evaluation as a proof-of-concept. The main evaluation criteria here will be originality, technical soundness
and validation.</div>
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<div class="">* In-use papers: Here we are expecting papers describing applications of knowledge management and engineering in real environments. Applications need to address a sufficiently interesting and challenging problem on real-world datasets, involving
many users, etc. The focus is less on the originality of the approach and more on presenting systems that solve a significant problem while addressing the particular challenges that come with the use of real-world data. Evaluations are essential for this type
of paper and should involve a representative subset of the actual users of the system.</div>
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<div class="">* Position papers: We invite researchers to also publish position papers, which describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective,
in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem or explaining why current
techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments.</div>
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<div class="">IMPORTANT DATES</div>
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<div class="">* Abstract deadline: May 25, 2020</div>
<div class="">* Submission deadline: June 1, 2020</div>
<div class="">* Notification of acceptance: August 1, 2020</div>
<div class="">* Camera-ready paper: August 14, 2020</div>
<div class="">* Conference days: September 16-20, 2020</div>
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<div class="">All submission deadlines are 23:59:59 Hawaii Time.</div>
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<div class="">SUBMISSIONS</div>
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<div class="">Pre-submission of abstracts is a strict requirement. All papers and abstracts have to be submitted electronically via <a href="https://easychair.org/conferences/?conf=ekaw2020" class="">EasyChair</a> (<a href="https://easychair.org/conferences/?conf=ekaw2020" class="">https://easychair.org/conferences/?conf=ekaw2020</a>).</div>
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<div class="">All submissions for research, in-use, and position papers must be in English, and no longer than 15 pages *including bibliography*. Papers that exceed this limit will be rejected without review.</div>
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<div class="">Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see <a href="http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0" class="">Springer's
Author Instructions</a>.</div>
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<div class="">ORGANISATION</div>
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<div class="">General Chairs</div>
<div class="">* Oliver Kutz (Free University of Bozen-Bolzano, Italy)</div>
<div class="">* Rafael Penaloza (University of Milano-Bicocca, Italy)</div>
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<div class="">Program Chairs</div>
<div class="">* Michel Dumontier (Maastricht University, the Netherlands)</div>
<div class="">* Maria Keet (University of Cape Town, South Africa)</div>
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<div class="">Workshop Chairs</div>
<div class="">* Anastasia Dimou (Ghent University, Belgium)</div>
<div class="">* Karl Hammar (Jonkoping University, Sweden)</div>
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<div class="">Posters & Demos Chairs</div>
<div class="">* Daniel Garijo (University of Southern California, USA)</div>
<div class="">* Agnieszka Lawrynowicz (Poznan University of Technology, Poland)</div>
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<div class="">Publicity Chair</div>
<div class="">* Rafael Goncalves (Stanford University, USA)</div>
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<div class="">Local Committee</div>
<div class="">* Pietro Galliani (Free University of Bozen-Bolzano, Italy)</div>
<div class="">* Guendalina Righetti (Free University of Bozen-Bolzano, Italy)</div>
<div class="">* Nicolas Troquard (Free University of Bozen-Bolzano, Italy)</div>
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