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DMKI Lab

Data Management and Knowledge-Driven AI

The Data Management and Knowledge-Driven AI (DMKI) Lab is part of the Databases and Artificial Intelligence (DBAI) group at TU Wien's Institute of Logic and Computation and the Faculty of Informatics.

Our research focuses on cutting-edge advancements in knowledge graphs, data management, AI, and their applications in healthcare, analytics, and more.

Latest News

IFIP TC2 Manfred Paul Award 2024 Award

Kashif Rabbani, M. Lissandrini, and K. Hose received the IFIP TC2 Manfred Paul Award for Excellence in Software: Theory and Practice.

The award was given for their paper “Extraction of Validating Shapes from Very Large Knowledge Graphs” published in VLDB 2023 (pdf).

June 2025

IFIP Award Certificate
New Team Member Team

Welcome to our new PhD researcher, Johannes Schrott, who has joined the DMKI Lab in June 2025.

June 2025

PhD Position Available Vacancy

We have new exciting PhD position available in our team in knowledge-graph driven factuality and explainability. Expected starting time: fall 2025, application deadline: July 31, 2025.
More details are available here.

June 2025

Journal Paper Published Publication

Our work on "Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data" by R. Stojanov, M. Jovanovik, S. Gramatikov, I. Mishkovski, E. Zdravevski, D. Sasanski, Z. Karapancheva, G. Spasovski, I. Vasileska, T. Eftimov, W. Zhuojun, J. Jankowski, D. Trajanov has been published in Proteomics.

May 2025

Demo Paper accepted at VLDB 2025 Publication

Our work on "Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction" by A. Moharanaj, M. Lissandrini, and K. Hose has been accepted as a demo paper at VLDB 2025.

May 2025

Preprint Available Publication

Our work on "RDFGraphGen: An RDF Graph Generator based on SHACL Shapes" by M. Jovanovik, M. Vecovska, M. Jakubowski, and K. Hose is now available on arxiv.org: preprint.

May 2025

Preprint Available Publication

Our work on "MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations" by E. Lavrinovics, R. Biswas, J. Bjerva, K. Hose is now available on arxiv.org: preprint.

May 2025

Paper Accepted at GOBLIN Workshop 2025 Publication

The paper "Towards Generating Synthetic EHR Knowledge Graphs — a Probabilistic Approach" by M. Jovanovik, E. Milenkova, M. Jakubowski, and K. Hose has been accepted for publication at the GOBLIN Workshop 2025.

May 2025

New Horizon Europe MSCA DN Project: ARMADA Project

We’re excited to announce the start of our Horizon Europe MSCA DN project ARMADA, focused on conversational data exploration. The project runs from 2025 to 2029.

May 2025

Paper Accepted at CBMS 2025 Publication

The paper "FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration" by D. Tomaszuk, A. Smajevic, T. Sagi, and K. Hose has been accepted for publication at CBMS 2025.

May 2025

Paper Accepted at VLDB 2025 Publication

The paper "PlanRGCN: Predicting SPARQL Query Performance" by A. Moharanaj, M. Lissandrini, and K. Hose has been accepted for publication at VLDB 2025.

April 2025

New Team Member Team

Welcome to our new PhD researcher, Koumudi Ganepola, who has joined the DMKI Lab in April 2025.

April 2025

Paper Accepted at VLDB 2025 Publication

The paper "The Limits of Graph Samplers for Training Inductive Recommender Systems" by T. E. Jendal, M. Lissandrini, P. Dolog, and K. Hose has been accepted for publication at VLDB 2025 (preprint).

April 2025

TARGET Annual Meeting Project

TUW participants K. Hose, M. Jovanovik, T. Sagi, and S. El-Sherbiny attended TARGET's annual consortium meeting in Lund.

March 2025

Talk at EDBT 2025 Industry Event Talk

Katja Hose gave a talk on "Knowledge Graphs: Challenges for GDBMS and AI" at the EDBT 2025 industry event on Next-Generation Data Management Systems.

March 2025

EDBT 2025 Meta-Reviewer Award Award

Katja Hose received a distinguished meta-reviewer award at EDBT 2025.

March 2025

Paper Presented at EDBT 2025 Publication

Martin P. Christensen presented the paper "Fantastic Tables and Where to Find Them: Table Search in Semantic Data Lakes" at EDBT 2025, authored by M. P. Christensen, A. Leventidis, M. Lissandrini, L. Di Rocco, R. J. Miller, and K. Hose.

March 2024

Paper Presented at EDBT 2025 Publication

Davide and Matteo presented our work "Towards Reliable Conversational Data Analytics" at EDBT 2025. Authors include S. Amer-Yahia, J. Bogojeska, R. Facchinetti, V. Franceschi, A. Gionis, K. Hose, G. Koutrika, R. Kouyos, M. Lissandrini, S. Maniu, K. Mirylenka, D. Mottin, T. Palpanas, M. Rigotti, and Y. Velegrakis.

March 2025

Keynote at GOBLIN Plenary Keynote

Katja Hose gave a keynote on "Introduction to Knowledge Graphs" at the first GOBLIN plenary meeting in Prague.

February 2025

New Team Member Team

Milos Jovanovik has joined the DMKI Lab as a postdoctoral researcher. Welcome!

February 2025

Paper Accepted at the Web Conference 2025   Publication

The paper "Common Foundations of SHACL, ShEx, and PG-Schema" has been accepted at The Web Conference 2025. Authors: S. Ahmetaj, I. Boneva, J. Hidders, K. Hose, M. Jakubowski, J.E.L. Gayo, W. Martens, F. Mogavero, F. Murlak, C. Okulmus, A. Polleres, O. Savkovic, M. Simkus, D. Tomaszuk.

January 2025

Dagstuhl Seminar Participation Event

Katja Hose participated in the Dagstuhl Seminar "Trust and Accountability in Knowledge Graph-Based AI for Self Determination.

January 2025

Team

Katja Hose
Prof. Dr.-Ing. Katja Hose

Research Lead

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Maxime Jakubowski
Dr. Maxime Jakubowski

Postdoctoral Researcher

Website
Milos Jovanovik
Dr. Milos Jovanovik

Postdoctoral Researcher

Website
Koumudi Ganepola
MSc Koumudi Ganepola

PhD Student

Website
Johannes Schrott
DI Johannes Schrott

PhD Student

Website

Projects

ARMADA Logo
ARMADA

Full Title: Reliable Conversational Domain-specific Data Exploration and Analysis
Funding: Horizon Europe MSCA DN (Grant Agreement No. 101168951)

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TARGET Logo
TARGET

Full Title: Health Virtual Twins for the Personalised Management of Stroke Related to Atrial Fibrillation
Funding: Horizon Europe (Grant Agreement No. 101136244)

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ARISTOTELES Logo
ARISTOTELES

Full Title: Applying Artificial Intelligence to Define Clinical Trajectories for Personalized Prediction and Early Detection of Comorbidity and Multimorbidity Patterns
Funding: Horizon Europe (Grant Agreement No. 101080189)

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Contact

Reach out to us for collaboration opportunities or student projects.