🚀 Postdoc in Data Management for AI @ TU Wien (Vienna) Research & teaching on #dataManagement foundations for #AI and modern #AIsystems. 📅 Start: ASAP | ⏳ Deadline: Jan 8, 2026 Duration: 3 years 👉 jobs.tuwien.ac.at/Job/261722?c... Lab: dmki-tuwien.github.io

Join us in beautiful Vienna to help us build next generation technology in data warehousing. Apply here: jobs.tuwien.ac.at/Job/261528 More details about our lab: dmki-tuwien.github.io

Prof. Katja Hose gave a talk today at the AI Festival 2025 at TU Wien (@tuwien.at). She presented the ongoing research of our team in AI, Agentic AI and Knowledge Graphs. #AI #AgenticAI #KnowledgeGraphs /cc @katjahose.bsky.social

🎓 PhD Position @ TU Wien (Vienna, Austria) — start Jan 2026 Join us to do research on knowledge graph embeddings. Application deadline: November 6, 2025 🔗 Apply here: jobs.tuwien.ac.at/Job/259110 ℹ️ More details: dmki-tuwien.github.io/jobs.html #PhD #AI #KnowledgeGraphs #MachineLearning #Vienna

Maxime Jakubowski presenting our work on "RDFGraphGen: An #RDF Graph Generator based on #SHACL Shapes" at #IJCKG25. Authors: Milos Jovanovik, Marija Vecovska, Maxime Jakubowski, Katja Hose github: github.com/etnc/RDFGrap... @mjovanovik.com @maximejakubowski.bsky.social @katjahose.bsky.social

Große WWTF Förderung für TU Wien Projekte Förderung von 12 Projekten aus der Ausschreibung „Informations- und Kommunikationstechnologien“ 2025 des Wissenschafts- und Technologiefonds Wien www.tuwien.at/tu-wien/aktu...

Meet Prof. Katja Hose (@tuwien.at), leader of Work Package 3 for the TARGET project! She’s driving innovation in data management, ensuring high-quality, secure and personalized healthcare. 👉Full interview: www.youtube.com/watch?v=tsJD... #BeyondTARGET #HealthcareInnovation #TARGETproject

I gave a keynote at #IJCKG25 this morning: Sharp Edges in a Fuzzy World — Knowledge Graphs and LLMs How can we combine the fuzzy nature of LLMs with the structured precision of knowledge graphs to build AI that we can rely on? Followed by a wonderful discussion - thank you to everyone who joined!

Maxime Jakubowski presented the paper "Bridging Gaps in RDF Validation – Insights and Innovation Opportunities in RDF Validation Practices" at SEMANTiCS 2025 (@semantics-conf.bsky.social) in Vienna, Austria. Authors: M. Jakubowski, D. Tomaszuk, K. Hose Paper: ebooks.iospress.nl/doi/10.3233/...

Honored to have received a Distinguished Associate Editor Award at @vldb.bsky.social 2025! It was a pleasure to contribute to the review process, and I'm truly grateful for the recognition. Congratulations to all awardees! #VLDB2025

Vol:18 No:12 → Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction 👥 Authors: Abiram Mohanaraj, Matteo Lissandrini, Katja Hose 📄 PDF: https://www.vldb.org/pvldb/vol18/p5295-mohanaraj.pdf

Yesterday, our colleague Johannes Schrott presented the paper "Dynamic Knowledge Graph-based Measurement of Data Quality" at the 14th QDB Workshop held in conjunction with VLDB 2025.

Vol:18 No:6 → PlanRGCN: Predicting SPARQL Query Performance 👥 Authors: Abiram Mohanaraj, Matteo Lissandrini, Katja Hose 📄 PDF: https://www.vldb.org/pvldb/vol18/p1621-mohanaraj.pdf

Vol:18 No:8 → The Limits of Graph Samplers for Training Inductive Recommender Systems 👥 Authors: Theis Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose 📄 PDF: https://www.vldb.org/pvldb/vol18/p2496-jendal.pdf

Our team members Koumudi Ganepola and Johannes Schrott attended this year's VLDB Summer School at the University of Wrocław in Poland. Besides lectures from top researchers, they had the opportunity to present their current work in the form of posters. Impressions from a week full of experiences:

Today, I had the great pleasure of giving an introductory lecture on knowledge graphs at the #BILAI Summer School 2025 in Klagenfurt. Great energy and engagement! #knowledgeGraphs #RDF #SHACL #SPARQL #LLM www.bilateral-ai.net/doctoral-sch...

Honored to receive the IFIP TC2 Manfred Paul Award (2024) with Kashif Rabbani and @kuzeko.bsky.social for our VLDB 2022 paper on generating #SHACL shapes from large knowledge graphs. Scales to billions of triples, mining meaningful patterns using support and confidence. www.vldb.org/pvldb/vol16/...

Maxime Jakubowski presented our work "Towards Generating Synthetic EHR Knowledge Graphs — a Probabilistic Approach" today, at the 1st GOBLIN Workshop on Knowledge Graph Technologies in Leipzig, Germany. www.dbpedia.org/events/gobli... /cc @maximejakubowski.bsky.social #EHR #RDF #FHIR

📣 Join us at IBM Research for a PhD position on Reliable Multimodal LLMs, combining language, vision & advanced reasoning! Located in Zurich🇨🇭 & co-supervised by @katjahose.bsky.social at TU Vienna🇦🇹 as part of the cool new MSCA ARMADA Doctoral Network Apply at www.zurich.ibm.com/careers/2025... 🧪