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Milos Jovanovik @mjovanovik.com · 21/09/2026

And we won! 🎉 Our paper received the Best Student Paper award on the Research and Innovation Track at the SEMANTiCS 2026 conference. Congrats to all the winners & nominees! 2026-eu.semantics.cc/page/awards.... /cc @semantics-conf.bsky.social @tuwien.at @informatics.tuwien.ac.at @dmki.bsky.social

SEOntology won the Best Student Paper award at the Research & Innovation Track at SEMANTiCS 2026, Ghent, Belgium

SEOntology presented on the Research & Innovation Track at SEMANTiCS 2026, Ghent, Belgium

Official Illustration of SEOntology at SEMANTiCS 2026, Ghent, Belgium

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TU Wien @tuwien.at · 28/05/2026

Im Wintersemester 2026/27 startet der neue Erasmus Mundus Joint Master: Data Engineering and Artificial Intelligence. Das besondere an dem Programm: Studierende haben die Möglichkeit an fünf unterschiedlichen europäischen Universitäten zu studieren.

tuwien.at

Klassische Datenbanken sind auch Teil des Stoffs

Start des neuen Erasmus Mundus Joint Master: Data Engineering and Artificial Intelligence im Herbst 2026

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Katja Hose @katjahose.bsky.social · 29/05/2026

Earlier this week, we had the kickoff meeting in Padua for our new Erasmus Mundus Joint Master in Data Engineering and Artificial Intelligence (#DEAI), which will officially launch this fall semester. The last deadline for this year's self-funded applications is June 30. Learn more: deai.ulb.be

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 31/12/2025

🎬 DMKI Lab Highlights 2025 A snapshot of a year of research, collaborations, and community at the DMKI Lab (Data Management & Knowledge-Driven AI) at TU Wien. Thanks to the team, collaborators, and partners — more to come in 2026! #DMKILab #TUWien #KnowledgeGraphs #AI

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Katja Hose @katjahose.bsky.social · 20/12/2025

🚀 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

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 20/12/2025

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

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 02/12/2025

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

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Katja Hose @katjahose.bsky.social · 22/10/2025

🎓 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

jobs.tuwien.ac.at

University Assistant Prae-Doc (all genders)

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 16/10/2025

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

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TU Wien @tuwien.at · 15/10/2025

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...

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TARGET EU Project @target-horizoneu.bsky.social · 08/10/2025

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

youtube.com

Beyond TARGET Ep. 8 | Prof. Katja Hose on Data Management and AI for Digital Twin Development

YouTube video by TARGET EU Project

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Katja Hose @katjahose.bsky.social · 15/10/2025

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!

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 08/09/2025

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/...

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Katja Hose @katjahose.bsky.social · 02/09/2025

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

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PVLDB @pvldb.bsky.social · 04/09/2025

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

Thumbnail: Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 02/09/2025

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.

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PVLDB @pvldb.bsky.social · 30/06/2025

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

Thumbnail: PlanRGCN: Predicting SPARQL Query Performance

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PVLDB @pvldb.bsky.social · 01/08/2025

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

Thumbnail: The Limits of Graph Samplers for Training Inductive Recommender Systems

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 04/08/2025

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:

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Katja Hose @katjahose.bsky.social · 08/07/2025

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...

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Katja Hose @katjahose.bsky.social · 07/06/2025

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/...

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Data Management and Knowledge-Driven AI @dmki.bsky.social · 12/06/2025

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

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Mattia Rigotti @matrig.net · 22/05/2025

📣 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... 🧪

Banner of the ARMADA website:
"ARMADA
Reliable Conversational Domain-specific
Data Exploration and Analysis"

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