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

  • Erman Acar: Knowledge Representation, Decision Theory and Game Theory
  • Taha Alhersh: Ego-centric Vision
  • Oliver Frendo (external) Decision Support in Electro-Mobility
  • Elena Kuss: Process Matching
  • Andreas Nolle (external): Ontology-based Data Access, Debugging
  • Bernhard Schäfer (external): Decision Support in Production Processes
  • Jörg Schönfisch: reasoning, query rewriting, probabilistic ontologies
  • Chrstoph Theil: Automatic Content Analysis for Finance and Accounting Research

Alumni (only finished PhDs)

  • Dr. Elena Beisswanger (2013): "Developing Ontological Background Knowledge for Biomedicine".
  • Dr. Arnab Dutta (2016): "Automated Knowledge Base Extension Using Open Information".
  • Dr. Rim Helaoui (2016): "On Leveraging Statistical and Relational Information for the Representation and Recognition of Complex Human Activities".
  • Prof. Dr. Kai Eckert (2012): "Usage-driven maintenance of knowledge organization systems".
  • Dr. Daniel Fleischhacker (2016): "Detecting Errors in Linked Data Using Ontology Learning and
    Outlier Detection".
  • Dr. Christian Meilicke (2011): "Alignment Incoherence in Ontology Matching".
  • Dr. Jan Noessner (2014): "Efficient Maximum A-Posteriori Inference in Markov Logic and Application in Description Logics".
  • Dr. Christoph Pinkel (2016): "Incremental, Interactive,Inter-Model Mapping Generation".
  • Dr. Anne Schlicht (2012): "Scaling Up Description Logic Reasoning by Distributed Resolution".
  • Dr. Caecilia Zirn (2016): "Fine-grained Position Analysis for Political Texts".

Selected Publications

Markov Logic Reasoning:

Activity Recognition:

Ontology 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

  • BMBF Project Fit4Four - Bringing Legacy Systems to Industry 4.0
  • BMVI Project xData2Go - A Cooperative Data Infrastructure for Mobility Applications
  • BMWI Project CrowdMyRegion - Regional Delivery Services based on Crowdsourcing
  • 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

  • Melisachew Wudage Chekol and Heiner Stuckenschmidt Towards partition-aware lifted inference. In: The 27th ACM International Conference on Information and Knowledge Management (CIKM '18), October 22--26, 2018, Torino, Italy; 1-4. ACM Digital Library, New York, NY, 2018.
  • Melisachew Wudage Chekol and Heiner Stuckenschmidt Towards probabilistic bitemporal knowledge graphs. In: WWW '18 : Companion Proceedings of the The Web Conference 2018 : Lyon, France, April 23 - 27, 2018; 1757-1762. ACM Digital Library, New York, NY, 2018.
  • Melisachew Wudage Chekol and Heiner Stuckenschmidt Tractable reasoning in probabilistic OWL profiles. In: Proceedings of the 33rd Annual ACM Symposium on Applied Computing 2018; 888-895. ACM Digital Library, New York, NY, 2018.
  • Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni and Heiner Stuckenschmidt NECTAR: Knowledge-based collaborative active learning for activity recognition. In: 2018 IEEE International Conference on Pervasive Computing and Communications : PerCom 2018, Athens, Greece, March 19-23, 2018; 1-10. IEEE Computer Society, Piscataway, NJ, 2018.
  • Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt and Christian Becker Hips do lie! A position-aware mobile fall detection system. In: 2018 IEEE International Conference on Pervasive Computing and Communications : PerCom 2018, Athens, Greece, March 19-23, 2018; 1-10. IEEE Computer Society, Piscataway, NJ, 2018.
  • Julien Leblay and Melisachew Wudage Chekol Deriving validity time in knowledge graph. In: WWW '18 : Companion Proceedings of the The Web Conference 2018 : Lyon, France, April 23 - 27, 2018; 1771-1776. ACM Digital Library, New York, NY, 2018.
  • Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla and Heiner Stuckenschmidt Fine-grained evaluation of rule- and embedding-based systems for knowledge graph completion. In: Lecture Notes in Computer ScienceThe Semantic Web – ISWC 2018 : 17th International Semantic Web Conference, October 8 - 12, 2018 Monterey, California, USA : proceedings, part ...; tba. Springer, Cham, 2018.
  • Christoph Kilian Theil, Sanja Štajner and Heiner Stuckenschmidt Word embeddings-based uncertainty detection in financial disclosures. In: ACL 2018 Workshop on Economics and Natural Language Processing (ECONLP); tba. Association for Computational Linguistics, Stroudsburg, PA, 2018.
  • Christoph Kilian Theil, Sanja Štajner, Heiner Stuckenschmidt and Simone Paolo Ponzetto Automatic detection of uncertain statements in the financial domain. In: Lecture Notes in Computer ScienceComputational Linguistics and Intelligent Text Processing : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I / II; tba. Springer International Publishing, Cham, 2018.

Workshop Item

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