Dominik Bork

**Dominik Bork** is an Assistant Professor at the Department of Business Informatics within the Faculty of Informatics at TU Wien. His core research focuses on conceptual modeling, model-driven engineering, and the integration of artificial intelligence into enterprise systems. He leads projects such as the Network Lab and has coordinated initiatives like the Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen and MFP 4.2 Advanced Analytics for Smart Manufacturing.

His work emphasizes GLSP-based web modeling tools, including the development of open-source platforms like BIGUML for UML modeling. He has published extensively on topics like knowledge graph transformation, accessibility in modeling tools, and AI-enhanced decision management. Bork actively contributes to academic communities through conference organizing roles and guest editorial work for journals like Enterprise, Business-Process and Information Systems Modeling. His research bridges theoretical advancements with practical applications in enterprise architecture and sustainable systems engineering.

Education & Background: Holds titles including Dipl.-Wirtsch.Inf.Univ. and Dr.rer.pol., reflecting his interdisciplinary expertise in business informatics and economics.

Key Contributions:
- Developed CM2KGcloud, a web-based platform for conceptual model-to-knowledge graph transformation.
- Pioneered EA ModelSet, a FAIR dataset advancing machine learning in enterprise modeling.
- Authored influential papers on inclusive conceptual modeling for disability-aware tools.
- Led efforts in model-based construction of enterprise architecture knowledge graphs.

Grants/Projects:

• Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen (Principal Investigator)
• Digital Platform Enterprise (Principal Investigator)
• MFP 4.2 Advanced Analytics for Smart Manufacturing (Principal Investigator)

Labs/Teams: Active in the Network Lab at TU Wien, focusing on cutting-edge research in modeling technologies and AI integration.