Towards solving ontological dissonance using network graphs. - Maximilian Stäbler; Frank Köster; Christoph Schlueter Langdon (AMCIS, 2023)

SoK: Assessing the State of Applied Federated Machine Learning. - Tobias Müller; Maximilian Stäbler; Hugo Gascón; Frank Köster; Florian Matthes (CoRR, 2023)

Why an Automated, Scalable and Resilient Service for Semantic Interoperability is Needed. - Maximilian Stäbler; Tobias Müller; Frank Köster; Christoph Schlueter Langdon (ICAART (3), 2024)

Semantic Data Link: Bridging Domain-Specific Needs with Universal and Interoperable Semantic Models. - Maximilian Stäbler; Paul Moosmann; Patrick Dittmer; DanDan Wang; Frank Köster; Christoph Lange 002 (SDS@ESWC, 2024)

Speaking the Same Language or Automated Translation? Designing Semantic Interoperability Tools for Data Spaces. - Maximilian Stäbler; Tobias Guggenberger; DanDan Wang; Richard Mrasek; Frank Köster; Chris Langdon (WEBIST, 2024)

Trust the Data You Use: Scalability Assurance Forms (SAF) for a Holistic Quality Assessment of Data Assets in Data Ecosystems. - Maximilian Stäbler; Tobias Müller; Frank Köster; Chris Langdon (WEBIST, 2024)