TU Wien Informatics

About

Our research lies at the intersection of data management, knowledge graphs, and artificial intelligence, with a strong emphasis on scalable, reliable, and semantics-aware methods.

We investigate how large, heterogeneous, and complex data can be transformed into structured knowledge and effectively combined with modern AI techniques, such as large language models, to design and build intelligent systems. A central goal of our work is to enable meaningful, trustworthy, and reusable data-driven systems, with a particular focus on healthcare, bioscience, and data-intensive analytics, while maintaining strong theoretical foundations and real-world impact.

The research Unit Data Management is part of the Institute of Information Systems Engineering.

Katja Hose
Katja Hose K. Hose

Head of Research Unit
Univ.Prof. Dr.

  • Katja Hose: Best Paper Award
    2025 / European Conference on Advances in Databases and Information Systems (ADBIS) 2025 / Finland / Website
  • Katja Hose: Distinguished Associate Editor Award
    2025 / PVLDB/VLDB 2025 / UK / Website
  • Katja Hose: ACM Senior Membership
    2025 / ACM / USA / Website
  • Katja Hose: Distinguished Meta-Reviewer Award
    2025 / EDBT/ICDT 2025 Joint Conference / Spain / Website
  • Katja Hose: Manfred Paul Award - Extraction of Validating Shapes from very large Knowledge Graphs (VLDB 2023)
    2024 / International Federation for Information Processing (IFIP) / Germany / Website
  • Katja Hose: Best Demo Award - GLENDA: Querying over RDF Archives with SPARQL
    2023 / European Semantic Web Conference (ESWC) 2023 / Greece / Website
  • Katja Hose: Best Paper Award - Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus
    2023 / International Workshop on Natural Language Processing for Knowledge Graph Creation (NLP4KGC) 2023 / USA / Website

Soon, this page will include additional information such as reference projects, conferences, events, and other research activities.

Until then, please visit Data Management’s research profile in TISS .