=Paper= {{Paper |id=Vol-3229/xpreface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-3229/xpreface.pdf |volume=Vol-3229 }} ==None== https://ceur-ws.org/Vol-3229/xpreface.pdf
Proc. of Rule Challenge and Doctoral Consortium @ RuleML+RR 2022

Preface

RuleML+RR 2022 is the leading international joint conference in the field of rule-based
reasoning, and focuses on theoretical advances, novel technologies, as well as innovative
applications concerning knowledge representation, reasoning, and learning with rules. The
conference is an annual event that builds bridges between academia and industry. These
proceedings present the papers from the satellite events of RuleML+RR 2022, namely the
16th Rule Challenge and 6th Doctoral Consortium.

The Rule Challenge is one of the highlights of the conference and seeks to provide
competition among innovative rule-oriented applications, aimed at both the research and
industrial side. Submissions typically present demos related to the RuleML+RR topics, supply
benchmarks and comparison results for rule engines and rule-based machine learning
techniques, illustrate rule- and model-driven engineering, report on industrial experiences,
present real case studies and practical experiences. The Rule Challenge is a competition, and
a prize (500 euro) is awarded for the best Rule Challenge paper. In the 2022 edition of the
challenge, we give the opportunity to not only present results on self-introduced challenges
but also to describe open challenges to be addressed by the community. This year’s
programme had 6 accepted papers across two sessions of the RuleML+RR conference.

The Doctoral Consortium is an initiative of the RuleML+RR community to attract and
promote student research in rules and reasoning. It offers students a close contact with
leading experts on the field, as well as the opportunity to present and discuss their ideas in a
dynamic and friendly setting. The topics range from theoretical aspects of rules and
reasoning, such as knowledge elicitation within the knowledge graphs, ontology-enriched
data management, data anonymisation, to description logics to machine learning. Students
presented their work through brief oral presentations during a dedicated session of the
RuleML+RR conference and had the chance to discuss their research in detail with experts in
the field. This year’s programme had 4 accepted papers from doctoral students.

Programme committee

Roman Bauer, University of Surrey
Antonis Bikakis, University College London
Andreas Billig, FhG Fokus
Gong Cheng, Nanjing University
Martin Giese, University of Oslo
Faruk Hasic, Katholieke Universiteit Leuven
Paul Krause, University of Surrey
Juliana Kuster Filipe Bowles, University of St Andrews
Shashishekar Ramakrishna, EY - AI Labs / Free University of Berlin
Stephan Mennicke, TU Dresden
Sotiris Moschoyiannis, University of Surrey
Baris Sertkaya, Frankfurt University of Applied Sciences
Alireza Tamaddoni-Nezhad, Imperial College
Dominik Tomaszuk, University of Bialystok
Ryan Urbanowicz, University of Pennsylvania
William Van Woensel, University of Dalhousie
Nick Bassiliades, Aristotle University of Thessaloniki
Daniela Inclezan, Miami University
Sotiris Moschoyiannis, University of Surrey
Grzegorz J. Nalepa, AGH University of Science and Technology
Francesco Ricca, University of Calabria
Dörthe Arndt, Technische Universität Dresden
Ahmet Soylu, Oslo Metropolitan University
Jan Vanthienen, KU Leuven
Evgeny Kharlamov, Bosch Center for Artificial Intelligence
Alexander Steen, University of Greifswald

Additional reviewers

Emmanouil Rigas, Aristotle University of Thessaloniki, Greece
Tobias Scholl, Fraunhofer FOKUS, Germany


Dörthe Arndt, Ahmet Soylu, Jan Vanthienen, Evgeny Kharlamov, and Alexander Steen -- Rule
Challenge and Doctoral Consortium co-chairs



                                                                         September 2022