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

• From Structures to Vectors: Decoding How Knowledge Graph Characteristics Shape Embedding Strategies
  2026 – 2029 / Vienna Science and Technology Fund (WWTF)
  Publications: 227936 / 230674 / 230838
• 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 / 230836 / 230964
• 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 / 230674 / 230838

• Graph-Native Normalization : Reducing Redundancy in Labeled Property Graphs / Schrott, J. (2026, September 4). Graph-Native Normalization : Reducing Redundancy in Labeled Property Graphs [Presentation]. Twenty-First GDC TUC Meeting, Boston, United States of America (the). http://hdl.handle.net/20.500.12708/230674
  Projects: DORSET (2026–2029) / TARGET (2024–2028)
• DataKernelBench: Can LLMs Optimize Database Queries on GPUs? / Kumar, G. K., Perlitz, Y., Lammie, C., Giovannini, A., & Hose, K. (2026). DataKernelBench: Can LLMs Optimize Database Queries on GPUs? arXiv. https://doi.org/10.48550/ARXIV.2608.25061
  Project: ARMADA (2025–2029)
• Computing Why-Provenance for Property Graph Queries / Ganepola, K., Jakubowski, M., & Hose, K. (2026). Computing Why-Provenance for Property Graph Queries. Proceedings of the VLDB Endowment, 19(11), 3552–3564. https://doi.org/10.14778/3836663.3836708
  Download: PDF (2.49 MB)
  Projects: DeConquer (2023–2027) / KnowledgeGraph (2020–2028)
• A Community Survey on {SHACL} and ShEx: Briding Gaps in RDF Validation / Jakubowski, M., Tomaszuk, D., & Hose, K. (2026). A Community Survey on {SHACL} and ShEx: Briding Gaps in RDF Validation. arXiv. https://doi.org/10.48550/ARXIV.2606.03502
• Exploring the Landscape of Data Fusion / Akter, Y. A., Abello, A., Jovanovic, P., Sagi, T., & Hose, K. (2026). Exploring the Landscape of Data Fusion. In G. DEJAEGERE, A. Abelló, K. Torp, & A. Simitsis (Eds.), Data Engineering for Data Science (pp. 33–62). Springer Cham. https://doi.org/10.1007/978-3-032-18765-9_2
• Example-Based Explainability in Machine Learning / Nematov, I., Sacharidis, D., Hose, K., & Sagi, T. (2026). Example-Based Explainability in Machine Learning. In G. DEJAEGERE, A. Abelló, K. Torp, & A. Simitsis (Eds.), Data Engineering for Data Science (pp. 215–234). Springer Cham. https://doi.org/10.1007/978-3-032-18765-9_9
• Scalable and Privacy-Aware Relational Data Synthesis / Kapenekakis, A., Dell’Aglio, D., Bøgsted, M., Garofalakis, M., & Hose, K. (2026). Scalable and Privacy-Aware Relational Data Synthesis. In G. DEJAEGERE, A. Abelló, K. Torp, & A. Simitsis (Eds.), Data Engineering for Data Science (pp. 63–77). Springer Cham. https://doi.org/10.1007/978-3-032-18765-9_3
• MetriKG: Profiling Static and Evolving Knowledge Graphs / Günes, H. H., Jovanovik, M., & Hose, K. (2026). MetriKG: Profiling Static and Evolving Knowledge Graphs. In H. Hacid & Y. Maarek (Eds.), WWW Companion ’26: Companion Proceedings of the ACM Web Conference 2026 (pp. 200–203). Association for Computing Machinery. https://doi.org/10.1145/3774905.3793136
  Download: PDF (1.35 MB)
  Projects: DORSET (2026–2029) / TARGET (2024–2028)
• Expressive Querying and Scalable Management of Large RDF Archives / Pelgrin, O., Taelman, R., Galárraga, L., & Hose, K. (2026). Expressive Querying and Scalable Management of Large RDF Archives. Semantic Web, 17(3). https://doi.org/10.1177/22104968261431405
• Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism / Kapenekakis, A., Thomsen, B., Hose, K., & Albano, M. (2026). Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism. arXiv. https://doi.org/10.48550/ARXIV.2603.27254
• Native Provenance Computation for Federated and Non-Federated SPARQL Queries / Asma, Z., Hernández Castillo, D. A., Galárraga, L., Flouris, G., Fundulaki, I., & Hose, K. (2026). Native Provenance Computation for Federated and Non-Federated SPARQL Queries. Transactions on Graph Data and Knowledge, 4(1), 4:1-4:43. https://doi.org/10.4230/TGDK.4.1.4
• How Human-Centric Are Our Graph Data Abstractions? / Bonifati, A., Dimou, A., Dumbrava, S., Fletcher, G., Hose, K., Konstantinidis, G., Labra-Gayo, J. E., Martens, W., Pardal, N., Peterfreund, L., Thornton, K., Vidal, M.-E., & Voigt, H. (2026). How Human-Centric Are Our Graph Data Abstractions? Transactions on Graph Data and Knowledge, 4(2), 2:1-2:31. https://doi.org/10.4230/TGDK.4.2.2
• An End-To-End Re-Evaluation of Table Entity-Linkers / Christensen, M. P., Lissandrini, M., & Hose, K. (2026). An End-To-End Re-Evaluation of Table Entity-Linkers. In 2026 IEEE 42nd International Conference on Data Engineering (ICDE) (pp. 1703–1716). IEEE. https://doi.org/10.1109/ICDE65706.2026.00130
• SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows / Gjorgjevska, E., Riccitelli, D., Jovanovik, M., & Volpini, A. (2026). SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows. In Bridging the Gap Between Curated and Induced Semantics : Proceedings of the 22nd International  Conference on Semantic Systems,  15-17 September 2026, Ghent, Belgium (pp. 2–18). IOS Press. https://doi.org/10.3233/SSW260003
  Download: PDF (942 KB)
• Reducing LLM Hallucinations with Knowledge Graphs: A Survey / Dolci, T., Jovanovik, M., & Hose, K. (2026). Reducing LLM Hallucinations with Knowledge Graphs: A Survey. HAL (open archive). https://doi.org/10.34726/12684
  Download: PDF (4.11 MB)
  Project: ARMADA (2025–2029)
• Common Foundations for Recursive Shape Languages / Ahmetaj, S., Boneva, I., Hidders, J., Jakubowski, M., Labra-Gayo, J.-E., Martens, W., Mogavero, F., Murlak, F., Okulmus, C., Savkovic, O., Šimkus, M., & Tomaszuk, D. (2026). Common Foundations for Recursive Shape Languages. In Proceedings of the 23rd International Conference on Principles of Knowledge Representation and Reasoning (pp. 2–13). IJCAI Organization. https://doi.org/10.24963/kr.2026/1
  Projects: BILAI (2024–2029) / KtoAPP (2018–2025) / Ontegra (2024–2027)
• Source Attribution in Retrieval-Augmented Generation / Nematov, I., Kalai, T., Kuzmenko, E., Fugagnoli, G., Sacharidis, D., Hose, K., & Sagi, T. (2026). Source Attribution in Retrieval-Augmented Generation. In I. Koprinska, J. Mendes-Moreiram, & P. Branco (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part II (pp. 317–332). Springer. https://doi.org/10.1007/978-3-032-19099-4_23
• Jazero: A Semantic Table Search System / Christensen, M. P., Lissandrini, M., & Hose, K. (2026). Jazero: A Semantic Table Search System. In 2026 IEEE 42nd International Conference on Data Engineering (ICDE) (pp. 4151–4154). IEEE. https://doi.org/10.1109/ICDE65706.2026.00314
• Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment / Hampp, N., Mirylenka, K., & Glass, M. (2026). Optimizing Large Language Models for Robust Domain-Specific Text-to-SQL: From Prompting to Preference Alignment. In Proceedings of the 11th Edition of the Swiss Text Analytics Conference (pp. 64–75). Association for Computational Linguistics.

• VIENNA - Versatile Iterative Entity-alignment Combining Neural and Non-neural Approaches / Jandl, C. (2026). VIENNA - Versatile Iterative Entity-alignment Combining Neural and Non-neural Approaches [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.146061
  Download: PDF (1.27 MB)
• Large language model-based knowledge creation verified by knowledge graphs and news articles / 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 / 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 / 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 / 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)

• Milosh Jovanovikj: Best Student Research Paper Award
  2026 / Research and Innovation Track at SEMANTiCS 2026 / Belgium / Website
• Katja Hose: Distinguished Associate Editor Award
  2026 / VLDB Journal / USA / Website
• Katja Hose: Distinguished Associate Editor Award
  2026 / PVLDB/VLDB 2026 / USA / Website
• 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 .