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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
  • DFG Project: Matching Representations at different Levels of Granularity
  • 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
  • Different Industry-Funded 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)

Publications

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