Data Management and Knowledge-Driven AI

🎓 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...

YouTube video by TARGET EU Project Beyond TARGET Ep. 8 | Prof. Katja Hose on Data Management and AI for Digital Twin Development

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

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

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

The work written by Johannes Schrott, Rainer Meindl, Christian Lettner, Stefan Hammer, and Magdalena Leitner provides a novel approach for the knowledge graph-based definition of parameterized data quality metrics and can be downloaded at www.vldb.org/2025/Worksho....

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.

Thumbnail: PlanRGCN: Predicting SPARQL Query Performance

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

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

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

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

📣 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...
🧪