Milos Jovanovik

@ymilosy
31 Followers
56 Following
14 Posts
Knowledge Graphs Researcher at TU Wien (🇦🇹) • Associate Professor at FINKI / UKIM (🇲🇰) • Senior R&D at OpenLink Software (🇬🇧) • https://mjovanovik.com

🎓 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

#PhD #AI #KnowledgeGraphs #MachineLearning #Vienna

University Assistant Prae-Doc (all genders)

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

University Assistant Post-Doc (all genders)

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:
https://github.com/etnc/RDFGraphGen

@ymilosy
@katjahose

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.

#KnowledgeGraphs #JobAlert #Vienna #Austria

University Assistant (Prae-Doc)

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.

https://sparql-ml.eu

SPARQL-ML

None

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.

#RDF #KnowledgeGraphs #SyntheticData

https://arxiv.org/abs/2407.17941

RDFGraphGen: An RDF Graph Generator based on SHACL Shapes

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.

arXiv.org

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

#GenAI #ChatMED #AI #Healthcare

Bridging Research Institutions to Catalyze Generative AI Adoption by the Health Sector in the Widening Countries | ChatMED Project | Fact Sheet | HORIZON | CORDIS | European Commission

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...

CORDIS | European Commission
Ok, I haven't been here for a while, what new and interesting?