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

  • Taha Alhersh: Ego-centric Vision
  • Sarah Alturki: Educational Data Mining
  • Fabian Burzlaff: (InES) Data Integration in Industry 4.0
  • Oliver Frendo (SAP) Decision Support in Electro-Mobility
  • David Friede: Mathematical Optimization for AI Applications
  • Elena Kuss: Process Matching
  • Andreas Nolle (HS Albstadt-Sigmaringen): Ontology-based Data Access, Debugging
  • Bernhard Schäfer (SAP): Intelligent Process Automation
  • Christian Schreckenberber: (InES) Data Mining in dynamic environments
  • Chrstoph Theil: Automatic Content Analysis for Finance and Accounting Research

Alumni (only finished PhDs)

* With Distinction

Selected Publications

Markov Logic Reasoning:

  • Melisachew Wudage Chekol, Giuseppe Pirrò, Jörg Schönfisch and Heiner Stuckenschmidt Marrying uncertainty and time in knowledge graphs. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence and the Twenty-Ninth Innovative Applications of Artificial Intelligence Conference : February 4–9, 2017, San Francisco, California USA; 88-94. AAAI Press, San Francisco, CA, 2017.
  • Melisachew Wudage Chekol, Jakob Huber, Christian Meilicke, Heiner Stuckenschmidt : Markov Logic Networks with Numerical Constraints. In: Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI 2016), The Hague, Netherlands.
  • 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

Activity Recognition:

Semantic Matching:


Projects at the chair

  • DFG Project: Explain - Knowledge-based Analysis of Argumentation in a formal Argumentation Inference System (Part of SPP RATIO - Robust Argumentation Machines
  • DFG Project: Practical Probabilistic Reasoning in Knowledge Graphs
  • SFB 884: Political Economy of Reforms


Projects at the InES Institute

  • Learning Data Transformation Rules for Data Migration (SNP SE)


Teaching and Infrastructure Projects

  • Part-time Master Data Science in cooperation with Hochchule Albstadt-Sigmaringen

Software and Data




Conference Item

  • Erman Acar Computing Subjective Expected Utility using Probabilistic Description Logics . In: Frontiers in Artificial Intelligence and ApplicationsSTAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium; 21-30. IOS Press, Clifton, Va. [u.a.], 2014.
  • Erman Acar and Christian Meilicke Multi-Attribute Decision Making using Weighted Description Logics. In: CEUR Workshop ProceedingsPRUV 2014 : Proceedings of the First Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness co-located with 7th International Joint Conference on Automated Reasoning (IJCAR 2014) Vienna, Austria, July 23-24, 2014; 1-14. RWTH, Aachen, 2014.
  • Nicole Rae Berg, Will Lowe, Simone Paolo Ponzetto, Heiner Stuckenschmidt and Cäcilia Zirn Estimating Central Bank Preferences. In: Paper entry to the NLP Unshared Task in PoliInformatics, June 2014; 1-6. PoliInformatics Research Coordination Network (PInet), [Washington, DC], 2014.
  • Arnab Dutta, Christian Meilicke and Simone Paolo Ponzetto A Probabilistic Approach for Integrating Heterogeneous Knowledge Sources. In: Lecture Notes in Computer ScienceThe Semantic Web: Semantics and Big Data : 11th International Conference, ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Proceedings ; 286-301. Springer International Publ., Cham, 2014.
  • Arnab Dutta, Christian Meilicke and Heiner Stuckenschmidt Semantifying Triples from Open Information Extraction Systems. In: Frontiers in Artificial Intelligence and ApplicationsSTAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium; 111-120. IOS Press, Clifton, Va. [u.a.], 2014.
  • Florian Knip, Christian Bikar, Bernd Pfister, Bernd Opitz, Timo Sztyler, Michael Jess and Ansgar Scherp A field study on the usability of a nearby search app for finding and exploring places and events. In: MUM 2014 : proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia : 25-27 November, Melbourne, Australia; 123-132. ACM, New York, NY, 2014.
  • Andreas Nolle, Christian Meilicke, Heiner Stuckenschmidt and German Nemirovski Efficient Federated Debugging of Lightweight Ontologies. In: Lecture Notes in Computer ScienceWeb Reasoning and Rule Systems : 8th International Conference, RR 2014, Athens, Greece, September 15-17, 2014. Proceedings; 206-215. Springer Internat. Publ., Cham, 2014.
  • Michael Schuhmacher and Christian Meilicke Popular Books and Linked Data: Some Results for the ESWC’14 RecSys Challenge. In: Communications in Computer and Information Science Semantic Web Evaluation Challenge : SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers; 176-181. Springer, Berlin [u.a.], 2014.
  • Jörg Schönfisch Querying Probabilistic Ontologies with SPARQL. In: GI-Edition : Lecture Notes in Informatics. ProceedingsInformatik 2014 - Big Data - Komplexität meistern; Tagung vom 22.-26. September 2014 in Stuttgart; 2245-2256. Köllen, Bonn, 2014.
  • Janno von Stülpnagel, Jens Ortmann and Jörg Schönfisch IT Risk Management with Markov Logic Networks. In: Lecture Notes in Computer ScienceAdvanced Information Systems Engineering : 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014, Proceedings ; 301-315. Springer Internat. Publ., Cham, 2014.
  • Timo Sztyler, Jakob Huber, Jan Noessner, Jaimie Murdock, Colin Allen and Mathias Niepert LODE: Linking digital humanities content to the web of data. In: 2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL) : 8th to 12th September 2014 ; City University London, London, United Kingdom; 423-424. IEEE, Piscataway, NJ, 2014.
  • Cäcilia Zirn, Michael Schäfer, Michael Strube, Simone Paolo Ponzetto and Heiner Stuckenschmidt Exploring structural features for position analysis in political discussions. In: Paper entry to the 2014 NLP Unshared Task in PoliInformatics, June 2014; 1-5. PoliInformatics Research Coordination Network (PInet), [Washington, DC], 2014.

Workshop Item

Research Paper