🎓 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: https://jobs.tuwien.ac.at/Job/259110
ℹ️ More details: https://dmki-tuwien.github.io/jobs.html
2 #Postdoc positions at TU Wien (Vienna, Austria)
1️⃣ Data Warehousing & System Performance
https://jobs.tuwien.ac.at/Job/259680
2️⃣ Natural Language Interfaces, LLMs, Exploratory Data Access
https://jobs.tuwien.ac.at/Job/259683
Application Deadline: Nov 13, 2025
Details: https://dmki-tuwien.github.io/jobs.html
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
Our team at TU Wien is offering a PhD position in Knowledge Graphs. If you want to work with KG evolution, provenance, graph data quality, data integration, exploration and analytics + LLMs, give it a look.
More details: https://jobs.tuwien.ac.at/Job/244015
Deadline: April 3rd, 2025.
This month we kicked off a new project: "SPARQL-ML: Machine Learning for SPARQL Query Optimization over Centralized and Distributed RDF Knowledge Graphs".
In it, we work on developing AI and machine-learning-based approaches for optimized query processing over large #RDF #KnowledgeGraphs to facilitate the development of high-performance centralized and distributed data storage solutions.
The project is a collaboration between @openlink, @diceresearch and eccenca GmbH.
What's a good way to find people and accounts to follow on Mastodon?
It's quite easy on Bluesky, I got to 100+ followers in 2 days when colleagues added me to a #KnowledgeGraphs starter pack. I also found around 90 people I want to interact with.
I'd like to replicate this here on Mastodon.
So, how does #RDFGraphGen work, and why was it needed?
If you’re interested, you can read the long paper linked above, or this short blogpost: https://blog.mjovanovik.com/post/757050614006104064/new-preprint-rdfgraphgen-a-synthetic-rdf-graph
Earlier this year we introduced #RDFGraphGen, a general-purpose, domain-independent generator of synthetic RDF knowledge graphs, based on #SHACL constraints.
In July, we published a preprint detailing its design and implementation.
Developing and testing modern RDF-based applications often requires access to RDF datasets with certain characteristics. Unfortunately, it is very difficult to publicly find domain-specific knowledge graphs that conform to a particular set of characteristics. Hence, in this paper we propose RDFGraphGen, an open-source RDF graph generator that uses characteristics provided in the form of SHACL (Shapes Constraint Language) shapes to generate synthetic RDF graphs. RDFGraphGen is domain-agnostic, with configurable graph structure, value constraints, and distributions. It also comes with a number of predefined values for popular schema.org classes and properties, for more realistic graphs. Our results show that RDFGraphGen is scalable and can generate small, medium, and large RDF graphs in any domain.
ChatMED project kick-off in Skopje, at the Faculty of Computer Science and Engineering.
A collaborative effort between Ss. Cyril and Methodius University in Skopje (Macedonia), University of Niš (Serbia), Jožef Stefan Institute (Slovenia), and TU Graz (Austria).
Project website: https://cordis.europa.eu/project/id/101159214
In a bid to harness cutting-edge AI advancements, Slovenia and Austria, AI research frontrunners, united with two Widening countries, North Macedonia and Serbia, to propose a transformative mission to bridge the knowledge gap, and to propagate Generative AI expertise with the...
Katja Hose