RuleML+RR-Companion 2024
Rule Challenge, Doctoral Consortium, Industry Track, and Networking Session 2024

Table of Contents

• Preface

Rule Challenge

• RuleMiner: An Interactive Web Tool for Rule-Based Data Analysis
  Marek Sikora, Dawid Macha, Joanna Badura, Artur Kozłowski, Łukasz Wróbel
• Rule-aware Datalog Fact Explanation Using Group-SAT Solver
  Akira Charoensit, David Carral, Pierre Bisquert, Lucas Rouquette, Federico Ulliana
• PolyCoP: A Connection Prover For (Possibly) Any Logical Language
  Renan L. Fernandes, Fred Freitas, Ivan Varzinczak, Pedro P. M. Farias
• Query Optimization of Backward-Chaining Reasoning with Learned Heuristics
  Ben Schack, Yifan Zhang, James Hoffmeister, Jeff Heflin
• Softening Ontological Reasoning with Large Language Models
  Teodoro Baldazzi, Davide Benedetto, Luigi Bellomarini, Emanuel Sallinger, Adriano Vlad
• Distributed Component Interoperation and Execution for Norm-Based Real-time Compliance
  Theodoros Mitsikas, Ralph Schäfermeier, Yousef Taheri, Kanae Tsushima, Hisashi Hayashi, Jean-Gabriel Ganascia, Gauvain Bourgne, Ken Satoh, Adrian Paschke
• Explanatory Dialogues with Active Learning for Rule-based Expertise
  Yao Yao, Horacio González–Vélez, Madalina Croitoru
• Integrating Symbolic Knowledge and Machine Learning in Healthcare
  Christel Sirocchi, Sara Montagna
• Solving “Greeting a Customer with Unknown Data” Challenge with Epistemic DMN
  Ðorđe Marković, Marc Denecker
• Fair Shifts by the Rule: a Rule-based Compliance Methodology for Medical Rosters
  Guido Governatori, Ilaria Angela Amantea, Marinella Quaranta, Marianna Molinari, Simone Vagnoni, Andrea Filippo Ferraris, Giuseppe Contissa, Monica Palmirani, Marco Busso, Marco Grosso

Doctoral Consortium

• Towards Optimizing Ontology-Based Data Federation: Performance Insights from Experimental Studies
  Marco Di Panfilo
• Optimising Hierarchical Demand Forecasting with Explainable AI: Insights into Key Drivers
  Mátyás Kuti-Kreszács

Industry Track

• Ontologies and Semantic Rules in Real Life: A Mission-Critical Product and Pricing Solution for the Belgian Railways
  Michel Vanden Bossche-Marquette, Léa Guizol, Rémi Le Brouster
• A Novel User-Friendly Pipeline for Enhanced Natural Language Understanding in Human-Robot Interaction
  Dorin Clisu, Iulia Farcas, Andrei Rusu, Mihai Hulea
• An Integrated Approach Using Ontologies, Knowledge Graphs, Machine Learning, and Rules Models for Synthetic Financial Time Series Generation
  Laurentiu Vasiliu, Radu Prodan, Ahmet Soylu, Dumitru Roman
• Preparing AI for Compliance: Initial Steps of a Framework for Teaching LLMs to Reason About Compliance
  Barbara Makovec, Luis Rei, Inna Novalija

Networking Session

• An Overview of AI Techniques in DYNABIC Project
  Ciprian Paduraru, Rares Cristea, Alin Stefanescu
• INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum
  Rustem Dautov, Hui Song, Dumitru Roman, Erik Johannes Husom, Sagar Sen, Vilija Balionyte-Merle, Donatella Firmani, Francesco Leotta, Jerin George Mathew, Jacopo Rossi, Lorenzo Balzotti, Andrea Morichetta, Schahram Dustdar, Thijs Metsch, Valerio Frascolla, Ahmed Khalid, Giada Landi, Juan Brenes, Ioan Toma, Róbert Szab, Christian Schaefer, Seonghyun Kim, Cosmin Udroiu, Alexandre Ulisses, Verena Pietsch, Sigmund Akselsen, Arne Munch-Ellingsen, Irena Pavlova, Dessisslava Petrova-Antonova, Hong-Gee Kim, Changsoo Kim, Bob Allen, Sunwoo Kim, Eberechukwu Paulson
• Koala-UI: An Interactive User Interface for Tabular Data Linking
  Roberto Avogadro, Iroshani Jayawardene, Xiang Ma, Ahmet Soylu, Dumitru Roman
• SMARAGD: Data Interoperability for Decision Support in the Norwegian Agrifood Sector
  Rustem Dautov, Simeon Tverdal, André Skoog Bondevik, Svein Arild Frøshaug, Vera Szabo, Jan Robert Fiksdal, Martin Fodstad Stølen
• Towards Modular Data Marketplaces
  Soulmaz Gheisari, Semih Yumusak, Jaime Osvaldo Salas, Luis-Daniel Ibáñez, George Konstantinidis, Dumitru Roman
• JobKG: A Knowledge Graph of the Romanian Job Market based on Natural Language Processing
  Petre Caraiani, Liviu-Adrian Cotfas, Flavius Cosmin Darie, Camelia Delcea, Carlos Angel Iglesias, Radu Prodan
• Realtime Compliance Mechanism for AI (RECOMP)
  Adrian Paschke, Ken Satoh, Jean-Gabriel Ganascia
• Is the Rule-based Order in AI Dead, or Is Still Kicking?
  Vassil Vassilev
• AI Research Assistant
  Mihai Gheorghe, Cătălina Chinie, Dumitru Roman
• Building a Knowledge Graph on Innovation in Horizon Europe Projects
  Adriana AnaMaria Davidescu, Vasile Alecsandru Strat, Madalina Zurini, Dumitru Roman
• Causal Inference in the Innovation Lifecycle of AI Technologies for Agriculture
  Giani Gradinaru, Madalina Zurini, Bogdan Florin Matei, Diana-Ioana Petre
• PERKS: Eliciting and Exploiting Procedural Knowledge in Industry 5.0
  Ioan Toma, Umutcan Serles
• Developing Deep Learning Based Intelligent Perception Algorithm for Thickener Equipment Monitoring
  Zuochen Liu, Qingkai Wang, Jiandong Dang, Xiaochun Wang, Kang Li, Roberto Avogadro, Dumitru Roman, Xiang Ma
• Towards an Open Energy Management System for Integrated Energy Storage and Electric Vehicle Fast Charging Station
  Iroshani Jayawardene, Dumitru Roman, Yingxiang Zhao, Alexander G. Ulyashin, Ahmet Soylu, Xiang Ma