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researcher

Maximilian Marx

TU Dresden

4 papers hereh-index 10262 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LO2
affiliations
  • TU Dresden
HomepageORCID 0000-0003-1479-0341

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedDiscovering Implicational Knowledge in Wikidata

10 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LO2026

Recovering Explanations from Transformed Rule-Based Ontologies

Alex Ivliev, Markus Krötzsch, Maximilian Marx

Datalog rules are often used to define ontologies over Knowledge Graphs. Rule reasoners routinely optimise such ontologies by rewriting their rules into a form that can be evaluate…

cs.AI2023★ 4 cited

Nemo: First Glimpse of a New Rule Engine

Alex Ivliev, Stefan Ellmauthaler, Lukas Gerlach +4

This system demonstration presents Nemo, a new logic programming engine with a focus on reliability and performance. Nemo is built for data-centric analytic computations, modelled…

cs.LO2022★ 2 cited

A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic

Martin Bromberger, Irina Dragoste, Rasha Faqeh +6

In a previous paper, we have shown that clause sets belonging to the Horn Bernays-Schönfinkel fragment over simple linear real arithmetic (HBS(SLR)) can be translated into HBS clau…

cs.AI2019★ 10 cited

Discovering Implicational Knowledge in Wikidata

Tom Hanika, Maximilian Marx, Gerd Stumme

Knowledge graphs have recently become the state-of-the-art tool for representing the diverse and complex knowledge of the world. Examples include the proprietary knowledge graphs o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.