Data Management E194-07
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.
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.
Professors
Scientific Staff
Administrative Staff
Courses
2026W
- Bachelor Thesis for Informatics and Business Informatics / 194.215 / PR
- Business Intelligence / 188.429 / VU
- Data Management for Science and Engineering / 194.214 / VU
- Doctoral & Master Students Seminar / 181.223 / SE
- Doctoral Students Seminar / 194.216 / SE
- Interdisciplinary Project in Data Science / 194.147 / PR
- Introduction to Semantic Systems / 188.399 / VU
- Management of Graph Data / 192.161 / VU
2027S
- Advanced Database Systems / 184.780 / VU
- Bachelor Thesis / 184.691 / PR
- Doctoral & Master Students Seminar / 181.223 / SE
- Project in Computer Science 1 / 192.021 / PR
- Project in Computer Science 2 / 192.022 / PR
Projects
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From Structures to Vectors: Decoding How Knowledge Graph Characteristics Shape Embedding Strategies
2026 – 2029 / Vienna Science and Technology Fund (WWTF)
Publication: 227936 -
Data Engineering and Artificial Intelligence
2025 – 2031 / European Commission -
ARMADA: reliAble conveRsational doMAin-specific Data exploration and Analysis
2025 – 2029 / European Commission
Publications: 215044 / 227715 -
Health virtual twins for the personalised management of stroke related to atrial fibrillation
2024 – 2028 / European Commission
Publications: 210251 / 210250 / 210252 / 216532 / 219450 / 221540 / 227282
Theses
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Large language model-based knowledge creation verified by knowledge graphs and news articles
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Wilberg, F. (2025). Large language model-based knowledge creation verified by knowledge graphs and news articles [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126769
Download: PDF (1.38 MB) -
Contextual rule learning for knowledge graphs using large language models
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Suman, O. (2025). Contextual rule learning for knowledge graphs using large language models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.128482
Download: PDF (1.24 MB) -
SHACL shapes extraction for evolving knowledge graphs
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Pürmayr, E. (2025). SHACL shapes extraction for evolving knowledge graphs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.120502
Download: PDF (2.24 MB) -
On the potential of structural decomposition of database and AI problems
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Longo, D. M. (2023). On the potential of structural decomposition of database and AI problems [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.116747
Download: PDF (2.08 MB)
Awards
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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
And more…
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 .