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ORCIDMaximilian Pensel
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- affiliation (PhD 2019): TU Dresden, Germany
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2020 – today
- 2020
[j2]Maximilian Pensel
:
A Lightweight Defeasible Description Logic in Depth. Künstliche Intell. 34(4): 527-531 (2020)
2010 – 2019
- 2019
- [b1]Maximilian Pensel:
A Lightweight Defeasible Description Logic in Depth - Quantification in Rational Reasoning and Beyond. TU Dresden, Germany, 2019, pp. 1-168 - [c8]Axel-Cyrille Ngonga Ngomo, Felix Conrads, Maximilian Pensel, Anni-Yasmin Turhan:
Congenial Benchmarking of RDF Storage Solutions. K-CAP 2019: 213-221 - [p1]Maximilian Pensel:
Schlussfolgern in Defeasible Beschreibungslogiken. Ausgezeichnete Informatikdissertationen 2019: 189-198 - 2018
- [j1]Maximilian Pensel, Anni-Yasmin Turhan:
Reasoning in the Defeasible Description Logic εℒ - computing standard inferences under rational and relevant semantics. Int. J. Approx. Reason. 103: 28-70 (2018) - [c7]Franz Baader, Oliver Fernandez Gil, Maximilian Pensel:
Standard and Non-Standard Inferences in the Description Logic FL0 Using Tree Automata. Description Logics 2018 - [c6]Maximilian Pensel, Anni-Yasmin Turhan:
Computing Standard Inferences under Rational and Relevant Semantics in Defeasible EL_bot. Description Logics 2018 - [c5]Franz Baader, Oliver Fernandez Gil, Maximilian Pensel:
Standard and Non-Standard Inferences in the Description Logic FL0 Using Tree Automata. GCAI 2018: 1-14 - [c4]Franz Baader, Pavlos Marantidis, Maximilian Pensel:
The Data Complexity of Answering Instance Queries in FL0. WWW (Companion Volume) 2018: 1603-1607 - 2017
- [c3]Maximilian Pensel, Anni-Yasmin Turhan:
Making Quantification Relevant Again - the Case of Defeasible EL_\bot. DARe@LPNMR 2017: 44-57 - [c2]Maximilian Pensel, Anni-Yasmin Turhan:
Including Quantification in Defeasible Reasoning for the Description Logic EL⊥. LPNMR 2017: 78-84 - 2015
- [c1]Andreas Ecke, Maximilian Pensel, Anni-Yasmin Turhan:
Elastiq: Answering Similarity-threshold Instance Queries in EL. Description Logics 2015
Coauthor Index
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