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ORCIDRuleML+RR 2021: Leuven, Belgium - Supplement
- Ahmet Soylu, Alireza Tamaddoni-Nezhad, Nikolay Nikolov, Ioan Toma, Anna Fensel, Joost Vennekens:
Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8 - 15 September, 2021. CEUR Workshop Proceedings 2956, CEUR-WS.org 2021
Part 1: Rule Challenge @ RuleML+RR 2021
- Damiano Azzolini, Fabrizio Riguzzi:
Reducing Probabilistic Logic Programs. - Kevin Angele, Jürgen Angele:
JSON towards a simple Ontology and Rule Language. - Luigi Bellomarini, Markus Nissl, Emanuel Sallinger:
Monotonic Aggregation for Temporal Datalog. - Nor Najihah Zainal Abidin, Nurulhuda A. Manaf, Nur Amalina Jamaludin, Sotiris Moschoyiannis:
Validation and Verification of Business Rules.
Part 2: Industry Track @ RuleML+RR 2021
- Daniella Tola, Cláudio Gomes, Carl Schultz, Christian Schlette, Casper Hansen, Lukas Esterle:
RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. - Gerhard Kober, Adrian Paschke:
Representing and executing a Medical Guideline using Prova. - Luigi Bellomarini, Giuseppe Galano, Markus Nissl, Emanuel Sallinger:
Rule-based Blockchain Knowledge Graphs: Declarative AI for Solving Industrial Blockchain Challenges.
Part 3: Doctoral Consortium @ RuleML+RR 2021
- Aparna Nayak, Bojan Bozic, Luca Longo:
(Linked) Data Quality Assessment: An Ontological Approach. - Alexandros Vassiliades, Nick Bassiliades, Theodore Patkos:
Commonsense Reasoning with Argumentation for Cognitive Robotics. - Astrid Krickl:
Understanding Misinformation: Perspectives on Emerging Issues. - Sareh Aghaei Dinani:
Question Answering over Knowledge Graphs. - Damian Drexel:
Automatically Linking Concepts in Distributed, Cloud-Based Manufacturing Environments. - Rick Vinyard:
VRule - A Rule-Based Pixel Rewriting System for End-User Modeling. - Marine Collery:
Rule Learning from Time-Dependent Data Applied to Fraud Detection. - Vedavyas Etikala:
Extracting Decision Model Components from Natural Language Text for Automated Business Decision Modelling.
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