Maximilian Marx
From International Center for Computational Logic
Dr. Maximilian Marx
Research Associate Knowledge-Based Systems
- maximilian.marx@tu-dresden.de
- Public Key
- Chat (Matrix ): @s9616726:tu-dresden.de
- +49 351 463 43510
- APB 3037
I am a post-doctoral researcher in the Knowledge-Based Systems group of Markus Krötzsch, working on Existential rules and Description Logics. In July 2025, I successfully defended my PhD Thesis on Attributed Logics for Reasoning over Knowledge Graphs. I also contribute to the Nemo reasoner and to the SQID browser for Wikidata.
Newest Publications
Alex Ivliev, Markus Krötzsch, Maximilian Marx
SPARQLing Datalog for Rule-Based Reasoning over Large Knowledge Graphs
In Maribel Acosta, Marieke van Erp, Sebastian Rudolph, Olaf Hartig, Blerina Spahiu, Anisa Rula, Daniel Garijo, Francesco Osborne, eds., Proceedings of the 23rd European Semantic Web Conference (ESWC 2026), LNCS, to appear. Springer
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Raimund Dachselt, Lukas Gerlach, Philipp Hanisch, Alex Ivliev, Markus Krötzsch, Maximilian Marx, Julián Méndez
Declarative Debugging for Datalog with Aggregation
In Alexander Krause, João Felipe Pimentel, eds., Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference (EDBT/ICDT-WS 2026), Tampere, Finland, March 24, 2026, CEUR Workshop Proceedings, to appear. CEUR-WS.org
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Maximilian Marx
Attributed Logics for Reasoning over Knowledge Graphs
Phd thesis, Technische Universität Dresden, 2025-07-08
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Alex Ivliev, Stefan Ellmauthaler, Lukas Gerlach, Maximilian Marx, Matthias Meißner, Simon Meusel, Markus Krötzsch
Nemo: First Glimpse of a New Rule Engine
In Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo, Francesca Toni, eds., Proceedings 39th International Conference on Logic Programming (ICLP 2023), volume 385 of EPTCS, 333--335, September 2023
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Maximilian Marx, Markus Krötzsch
Tuple-Generating Dependencies Capture Complex Values (extended abstract)
In Mario Alviano, Andreas Pieris, eds., Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry, volume 3203 of CEUR Workshop Proceedings, 97--103, September 2022. CEUR-WS.org
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Martin Bromberger, Irina Dragoste, Rasha Faqeh, Christof Fetzer, Larry González, Markus Krötzsch, Maximilian Marx, Harish K Murali, Christoph Weidenbach
A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic
In Dana Fisman, Grigore Rosu, eds., Proc. of the 28th Int. Conf. on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2022), volume 13243 of LNCS, 480-501, 2022. Springer
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Maximilian Marx, Markus Krötzsch
Tuple-Generating Dependencies Capture Complex Values
In Dan Olteanu, Nils Vortmeier, eds., Proceedings of the 25th International Conference on Database Theory (ICDT 2022), volume 220 of LIPIcs, 13:1--13:20, March 2022. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Markus Krötzsch, Maximilian Marx, Sebastian Rudolph
The Power of the Terminating Chase
In Pablo Barceló, Marco Calautti, eds., Proceedings of the 22nd International Conference on Database Theory (ICDT 2019), volume 127 of LIPIcs, 3:1--3:17, 2019. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Tom Hanika, Maximilian Marx, Gerd Stumme
Discovering Implicational Knowledge in Wikidata
Technical Report, arXiv.org, volume CoRR abs/1902.00916, February 2019
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Tom Hanika, Maximilian Marx, Gerd Stumme
Interactively Discovering Implicational Knowledge in Wikidata
Presentation at 36th Chaos Communication Congress 2019, December 2019
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Courses
- Formale Systeme (WS 2025)
- Knowledge Graphs (WS 2025)
- Knowledge Graphs (WS 2024)
- Knowledge Graphs (WS 2023)
- Database Theory (SS 2023)
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