Artificial Intelligence Group (Prof. Stuckenschmidt)

Our group conducts fundamental and applied research in knowledge representation formalisms with a focus on reasoning techniques for information extraction and integration. Our work is centered around:

  • Standard reasoning including description logic reasoning and non-standard reasoning techniques (explanations and debugging techniques)
  • Combining Probabilistic reasoning and Utility Theory with Description Logics
  • Applications in various domains (web data integration and management, semantic web, ontology matching, context-aware applications, Business Process Management etc.)  



Postdoctoral Researchers


PhD Students


Selected Publications

  • Nico Potyka, Erman Acar, Matthias Thimm and Heiner Stuckenschmidt. Group Decision Making via Probabilistic Belief Merging. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016).
  • Arnab Dutta, Christian Meilicke and Heiner Stuckenschmidt. Enriching Structured Knowledge with Open Information. Proceedings of the 24th International World Wide Web Conference. Florence, Italy, May 2015.  
  • Jan Noessner, Mathias Niepert and Heiner Stuckenschmidt. RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. In: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2012, Bellevue, Washington, USA; 739-745. AAAI Press, Menlo Park, Calif., 2013.
  • Rim Helaoui, Daniele Riboni and Heiner Stuckenschmidt. A probabilistic ontological framework for the recognition of multilevel human activities. In: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '13, Zurich, Switzerland, September 8-12, 2013; 345-354. ACM, New York, NY, 2013.
  • Henrik Leopold, Mathias Niepert, Matthias Weidlich, Jan Mendling, Remco Dijkman and Heiner Stuckenschmidt. Probabilistic Optimization of Semantic Process Model Matching. In: Lecture notes in computer science Business Process Management : 10th International Conference, BPM 2012; proceedings; 319-334. Springer, Berlin [u.a.], 2012.
  • Mathias Niepert, Christian Meilicke and Heiner Stuckenschmidt. A Probabilistic-Logical Framework for Ontology Matching. In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence and the Twenty-Second Innovative Applications of Artificial Intelligence Conference; 1413-1418. AAAI Press, Menlo Park, Calif., 2010.


  • MWK Project: A Virtual Open Science Collaboration Environment
  • ZIM Project: A motio-visual Sensor System for Spare Part Logstics
  • DFG Project: Matching Representations at different Levels of Granularity
  • SFB 884: Political Economy of Reforms
  • Different Industry Projects

Software and Data

  • ALCOMO (a tool for repairing ontology alignments)
  • Rockit (a query engine for Markov Logic)
  • ELOG (a reasoner for log-linear description logics)
  • NELL2DBpedia (an evaluation gold standard for linking NELL entities to DBPedia instances)



  1. Arnab Kumar Dutta. Automated Knowledge Base Extension Using Open Information. Dissertation, , Mannheim, 2016.
  2. Rim Helaoui. On Leveraging Statistical and Relational Information for the Representation and Recognition of Complex Human Activities. Dissertation, , Mannheim, Germany, 2016.

Conference Item

  1. Timo Sztyler and Heiner Stuckenschmidt. On-body localization of wearable devices : an investigation of position-aware activity recognition. In: 2016 IEEE International Conference on Pervasive Computing and Communications : PerCom 2016, Sydney, Australia, March 14-19, 2016; 1-9. IEEE Computer Society, Piscataway, NJ, 2016.

Master and Bachelor Theses

The DFG funds a new research project "Matching Representations at different levels of granularity" with approx. 270.000,- Euro over the next 3 years....


We are looking for Master candidates that would be interested in writing their Master thesis in the field of innovative technologies in logistics.  ...


Im Rahmen der Veranstaltung KI werden unter anderem grundlgende Verfahren zur Entwicklung einer Spiele KI vorgestellt. Wer die Veranstaltung besucht...