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RuleML+RR 2023: Oslo, Norway - Companion
- Jan Vanthienen, Tomás Kliegr, Paul Fodor, Davide Lanti, Dörthe Arndt, Egor V. Kostylev, Theodoros Mitsikas, Ahmet Soylu:
Proceedings of the 17th International Rule Challenge and 7th Doctoral Consortium @ RuleML+RR 2023 co-located with 19th Reasoning Web Summer School (RW 2023) and 15th DecisionCAMP 2023 as part of Declarative AI 2023, Oslo, Norway, 18 - 20 September, 2023. CEUR Workshop Proceedings 3485, CEUR-WS.org 2023
Challenge Papers
- Daniel Cyrus, Ghazal Afroozi Milani, Alireza Tamaddoni-Nezhad:
Explainable Game Strategy Rule Learning from Video. - Gerhard Kober, Livio Robaldo, Adrian Paschke:
Towards Complex Event Processing for Clinical Decision Support using FHIR. - Alexandre Goossens, Simon Vandevelde, Jan Vanthienen, Joost Vennekens:
GPT-3 for Decision Logic Modeling. - David A. Fisher, Stephen Fisher, Donna M. Lambie:
Sound Logic without Paradox. - Hisashi Hayashi, Theodoros Mitsikas, Yousef Taheri, Kanae Tsushima, Ralph Schäfermeier, Gauvain Bourgne, Jean-Gabriel Ganascia, Adrian Paschke, Ken Satoh:
Multi-agent Online Planning Architecture for Real-time Compliance. - Guilherme Redeker, Juliana Bowles:
An Ontology-based Approach for Detecting and Classifying Inappropriate Prescribing. - Grigoris Antoniou, Sotiris Batsakis:
Defeasible Reasoning with Large Language Models - Initial Experiments and Future Directions. - Weronika T. Adrian, Maciej Kutyla, Jedrzej Potoniec, Agnieszka Lawrynowicz:
Reasoning about Ingredient Substitutions with Ontologies and Rules. - Owen P. Dwyer
, Teodoro Baldazzi, Jim Davies, Emanuel Sallinger, Adriano Vlad:
Reasoning over Health Records with Vadalog: a Rule-based Approach to Patient Pathways.
Doctoral Consortium Papers
- Yazan Nidal Hasan Zayed:
Towards a Human-Centered Framework for the Assessment of Subjective Social Values in Buildings. - Arka Ghosh, Mantas Simkus, Diego Calvanese:
Semantic Querying of Integrated Raster and Relational Data: A Virtual Knowledge Graph Approach. - Romuald Esdras Wandji, Mantas Simkus, Diego Calvanese:
Towards Techniques for Updating Virtual Knowledge Graphs.
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