RuleML+RR-Companion 2026
Rule Challenge, Doctoral Consortium, Industry Track, and Networking Session 2026

Table of Contents

• Preface

Rule Challenge

• Precondition Constraint Acquisition Through Explanatory Queries
  Sarra Djebour, Sébastien Bardin, Arnaud Gotlieb, Nadjib Lazaar, Grégoire Menguy
• Engineering an Ontology for Age-Related Macular Degeneration using Agentic AI and DL-learner
  Calina Annemary Borzan, Alexandru Lecu, George Adrian Muntean, Simona Delia Nicoara, Adrian Groza
• Paraconsistent Query Answering in Hybrid Knowledge Bases for Aeronautics Applications
  Arun Raveendran Nair Sheela, Christophe Rey, Florence De Grancey
• Action Rule Mining with Utility and Uncertainty: Extending the action-rules Package for Decision Support
  Kateřina Hrudková, Lukáš Sýkora, Tomáš Kliegr
• Neuro-symbolic Rule Induction over Multimodal LLM-Generated Features for Explainable Image and Video Classification
  Matěj Koval, Lukáš Sýkora, Michal Ahmet Ay, Vojtěch Balek, Yuliia Yershova, Tomáš Kliegr

Industry Track

• Energy Twin: A Possibilistic Neuro-Symbolic Framework for Early Warning Detection in Waste-to-Energy Boilers
  Esteban Guerrero, Andreas Brännström, Rachele Carli, John Granström, Måns Kjellander, Juan Carlos Nieves
• Tribo-AI: a Neuro-Symbolic Geometric Reasoning for Scratch Measurement in Tribological SEM Images
  Esteban Guerrero, Andreas Brännström, Maria Wojtowicz, Urban Wiklund, Juan Carlos Nieves
• Towards a Trustworthy Causal Decision-Support Framework for Wastewater Treatment
  ZhiJun Cheng, Måns Kjellander, Esteban Guerrero
• A Neuro-Symbolic AI-based Framework for Holistic SOP Consistency Management in Regulated Industries
  Malte Scheuvens, Lisa Katzenschlager, Annika Loos, Felix Demmelbauer-Ebner
• Jena: Combining Deterministic Rules and LLM Reasoning for Grounded EEG Acquisition Support
  Martina Berto, Linas Raičinskis, Aleksandras Voicikas
• SYNAPSE-KG – Symbolic and Neural Academic & Organizational Platform for Semantic Exploration
  Roxana Dogaru, Eleonora Laurenza, Emanuel Sallinger

Doctoral Consortium

• Aligning Reinforcement Learning by Defining Goals using Knowledge Representation
  Paulius Skaisgiris
• Rule Constrained Reinforcement Learning for Portfolio Optimization in the OMX Baltics Index
  Ilja Jurcenko, Igoris Belovas
• Interactive Dialogs with Logic-Based AI Systems
  Tommaso Zendron

Networking Session (Invited Talk)

• How to Write a Successful Research Proposal — Tips and Tricks
  Laura Kovács