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 is awarded for the best Rule Challenge paper. This year's programme had 9 accepted papers The Doctoral Consortium is an initiative of the RuleML+RR community to attract and promote student research in the topics of the conference. It offers students close contact with leading experts in the field, as well as an 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 anonymization, and description logics, to relevant practical applications of 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 5 accepted papers from doctoral students. The RuleML+RR Industry Track targets work from all areas of Rules and Reasoning based technologies specifically for solving real industry problems. It welcomes experiences from practitioners when applying rules to industries such as engineering, manufacturing, agriculture, energy, media, financials, telecommunications, healthcare, life sciences, government, smart cities, tourism and cultural heritage. This year's programme had 4 accepted papers. The project Networking Session of RuleML+RR aims to bring together relevant projects working in the area of data and AI with particular focus on, but not limited to, the event topics: rules, reasoning, decisions, and explanations. The session provides an opportunity to: share knowledge between research and innovation projects operating in the area of data and AI; identify potential synergies between the projects, e.g., transfer data and AI technology between projects, joint publications, joint dissemination activities, etc.; discuss funding opportunities such as Horizon Europe, Digital Europe, ERC, etc. This year's proceedings had 4 accepted contributions.
Programme committee Bettina Finzel, Otto-Friedrich-Universität Bamberg, Germany Cogan Shimizu, Wright State University, United States David Carral, University of Montpellier, France Davide Lanti, Free University of Bozen-Bolzano, Italy Doerthe Arndt, TU Dresden, Germany Eleonora Laurenza, Sapienza University of Rome, Italy Erwin Filtz, Siemens AG, Austria Evdokimos Konstantinidis, Aristotle University of Thessaloniki, Greece Fajar J. Ekaputra, Vienna University of Economics and Business, Austria Horea Adrian Grebla, Babeș-Bolyai University of Cluj-Napoca, Romania Ioan Toma, Onlim GmbH, Austria Ioana Georgiana Ciuciu, Babeș-Bolyai University, Romania Juliana Bowles, School of Computer Science, University of St Andrews, United Kingdom Lorena Etcheverry, Universidad de la República, Uruguay Manolis Koubarakis, National and Kapodistrian University of Athens, Greece Marko Grobelnik, Jozef Stefan Institute, Slovenia Martin Berger, Department of Informatics, University of Sussex, United Kingdom Oscar Corcho, Universidad Politécnica de Madrid, Spain Patrik Schneider, Vienna University of Technology, Austria Pavlos Fafalios, Technical University of Crete, Greece Petr Masa, Prague University of Economics and Business, Czechia Radu Prodan, University of Klagenfurt, Austria Robert David, Vienna University of Economics and Business, Austria Roman Bauer, University of Surrey, United Kingdom Sotirios Koussouris, Suite5 Data Intelligence Solutions Ltd, Cyprus Stefania Dumbrava, ENSIIE Paris-Evry, France Umutcan Serles, University of Innsbruck, Austria William Van-Woensel, University of Ottawa, Canada Yannis Tzitzikas, University of Crete, Greece Yury Glikman, Fraunhofer, Germany