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.)  

People

Faculty

Postdoctoral Researchers

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

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

Courses

Publications

Article

Conference Item

  • Erman Acar, Gianluigi Greco and Marco Manna Group reasoning in social environments. In: AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems : Sao Paulo, Brazil, May 8 - 12, 2017; 1296-1304. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2017.
  • Manel Achichi, Michelle Cheatham, Zlatan Dragisic, Jérôme Euzenat, Daniel Faria, Alfio Ferrara, Giorgos Flouris, Irini Fundulaki, Ian Harrow, Valentina Ivanova, Ernesto Jiménez-Ruiz, Kristian Kolthoff, Elena Kuss, Patrick Lambrix, Henrik Leopold, Huanyu Li and Chri Meilicke Results of the Ontology Alignment Evaluation Initiative 2017. In: CEUR Workshop ProceedingsOM 2017 : Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 21, 2017; 61-113. RWTH, Aachen, 2017.
  • Melisachew Wudage Chekol Scaling probabilistic temporal query evaluation. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017; 697-706. ACM, New York, NY, 2017.
  • 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, Giuseppe Pirrò, Jörg Schönfisch and Heiner Stuckenschmidt TeCoRe: temporal conflict resolution in knowledge graphs. In: Proceedings of the VLDB EndowmentProceedings of the VLDB Endowment : 43. International Conference on Very Large Data Bases; Iss. 12, 1929-1932. Association of Computing Machinery, New York, NY, 2017.
  • Melisachew Wudage Chekol and Heiner Stuckenschmidt Rule based temporal inference. In: Open access series in informaticsTechnical communications of the 33rd International Conference on Logic Programming : ICLP 2017, August 28-September 1, 2017, Melbourne, Australia; Article 4, 1-14. Dagstuhl Publishing, Wadern, 2017.
  • Alexander Diete, Timo Sztyler, Lydia Weiland and Heiner Stuckenschmidt Recognizing grabbing actions from inertial and video sensor data in a warehouse scenario. In: Procedia computer science14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops; 16-23. Elsevier, Amsterdam [u.a.], 2017.
  • Elena Kuss, Henrik Leopold, Christian Meilicke and Heiner Stuckenschmidt Ranking-based evaluation of process model matching. In: Lecture Notes in Computer ScienceOn the Move to Meaningful Internet Systems. OTM 2017 Conferences : Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I; 298-305. Springer, Cham, 2017.
  • Elena Kuss and Heiner Stuckenschmidt Automatic classification to matching patterns for process model matching evaluation. In: CEUR Workshop ProceedingsER-Forum-Demos 2017 : proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017) Valencia, Spain, November 6-9, 2017; 306-319. RWTH, Aachen, 2017.
  • Christian Meilicke, Daniel Ruffinelli, Andreas Nolle, Heiko Paulheim and Heiner Stuckenschmidt Fast ABox consistency checking using incomplete reasoning and caching. In: Lecture Notes in Computer ScienceRules and Reasoning : International Joint Conference : RuleML+RR 2017, London, UK, July 12-15, 2017, Proceedings; 168-183. Springer International Publishing, Cham, 2017.
  • Timo Sztyler and Heiner Stuckenschmidt Online personalization of cross-subjects based activity recognition models on wearable devices. In: PerCom 2017 : The Fifteenth Annual IEEE International Conference on Pervasive Computing and Communications : March 13-17, 2017, Big Island, HI, USA; 180-189. IEEE Computer Society, Piscataway, NJ, 2017.
  • Lydia Weiland, Ioana Hulpus, Simone Paolo Ponzetto and Laura Dietz Using object detection, NLP, and knowledge bases to understand the message of images. In: Lecture Notes in Computer ScienceMultiMedia Modeling : 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part II; 405-418. Springer International Publishing, Cham, 2017.
  • Sanja Štajner, Mark Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso and Heiner Stuckenschmidt Sentence alignment methods for improving text simplification systems. In: The 55th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017; 97-102. Association for Computational Linguistics, Stroudsburg, PA, 2017.
  • Sanja Štajner, Goran Glavaš, Simone Paolo Ponzetto and Heiner Stuckenschmidt Domain adaptation for automatic detection of speculative sentences. In: IEEE 11th International Conference on Semantic Computing ICSC 2017 : 30 January - 1 February 2017, San Diego, California : proceedings; 164-171. IEEE Computer Society, Los Alamitos, CA [u.a.], 2017.
  • Sanja Štajner, Simone Paolo Ponzetto and Heiner Stuckenschmidt Automatic assessment of absolute sentence complexity. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) : Melbourne, Australia 19-25 August 2017; 4096-4102. International Joint Conferences on Artificial Intelligence, Melbourne, 2017.

Book Section

Workshop Item

Research Paper