Publications of Maximilian Marx

Proceedings Articles

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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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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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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Tom Hanika, Maximilian Marx, Gerd Stumme
Discovering Implicational Knowledge in Wikidata
In Diana Cristea, Florence Le Ber, Baris Sertkaya, eds., Proceedings of the 15th International Conference on Formal Concept Analysis (ICFCA'19), volume 11511 of LNCS, 315--323, June 2019. Springer
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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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David Carral, Markus Krötzsch, Maximilian Marx, Ana Ozaki, Sebastian Rudolph
Preserving Constraints with the Stable Chase
In Benny Kimelfeld and Yael Amsterdamer, eds., Proceedings of the 21st International Conference on Database Theory (ICDT 2018), volume 98 of Leibniz International Proceedings in Informatics (LIPIcs), 12:1--12:19, March 2018. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
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Markus Krötzsch, Maximilian Marx, Ana Ozaki, Veronika Thost
Attributed Description Logics: Reasoning on Knowledge Graphs
In Jérôme Lang, eds., Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), 5309--5313, July 2018. International Joint Conferences on Artificial Intelligence
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Markus Krötzsch, Maximilian Marx, Ana Ozaki, Veronika Thost
Reasoning with Attributed Description Logics
In Alessandro Artale, Birte Glimm, Roman Kontchakov, eds., Proceedings of the 30th International Workshop on Description Logics (DL 2017), volume 1879 of CEUR Workshop Proceedings, July 2017. CEUR-WS.org
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Markus Krötzsch, Maximilian Marx, Ana Ozaki, Veronika Thost
Attributed Description Logics: Ontologies for Knowledge Graphs
In Claudia d'Amato, Miriam Fernández, Valentina A. M. Tamma, Freddy Lécué, Philippe Cudré-Mauroux, Juan F. Sequeda, Christoph Lange, Jeff Heflin, eds., Proceedings of the 16th International Semantic Web Conference (ISWC'17), volume 10587 of LNCS, 418--435, October 2017. Springer
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Maximilian Marx, Markus Krötzsch
SQID: Towards Ontological Reasoning for Wikidata
In Nadeschda Nikitina, Dezhao Song, eds., Proceedings of the ISWC 2017 Posters & Demonstrations Track, CEUR Workshop Proceedings, October 2017. CEUR-WS.org
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Maximilian Marx, Markus Krötzsch, Veronika Thost
Logic on MARS: Ontologies for generalised property graphs
In Carles Sierra, eds., Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 1188-1194, August 2017. International Joint Conferences on Artificial Intelligence
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Technical Reports

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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Talks and Miscellaneous

Tom Hanika, Maximilian Marx, Gerd Stumme
Discovering Implicational Knowledge in Wikidata
Presentation at Wikimania 2019, August 2019
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Tom Hanika, Maximilian Marx, Gerd Stumme
The Exploration Game
Poster at Wikimania 2019, August 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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Maximilian Marx
SQID 2.0 — A Data Browser for Wikidata
Poster at Wikimania 2019, August 2019
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Maximilian Marx, Markus Krötzsch
The New SQID: Improving Wikidata Made Easy
Presentation at WikidataCon 2017, 2017
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Maximilian Marx
Universality Results for Spiking Neural P Systems with Cooperating Rules
Diploma thesis, Technische Universität Dresden, March 2016
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