I started my carrier studying material science at JMU Würzburg in 2011. During the first semesters I recognized in the study plan a (total) lack of computer science and automation as important modern tools for research. For that reason I decided to join the B.Sc. program in computer science as well, finally ending up with a M.Sc. in both Material and Computer Science in 2016. I continued with a PhD in the interdisciplinary field of sensor materials, IoT and robots. After graduating in 2020 I became Head of Digital Transformation at Fraunhofer ISC, were my mission is to acceleration material science with computational and automation approaches. The focus of me and my team lies in particular on semantic Interoperability between equipment, data and code. For this purpose we develop an Open Source ecosystem called OpenSemanticLab which combines existing industry standards and AI agents in order to empower users to make use of semantic technologies and ontologies without even recognizing it. Finally, since I love programming so much, I also work as a freelance software developer..
OpenSemanticLab is an Open-Source ecosystem which combines existing industry standards in order to empower users to make use of semantic technologies and ontologies without even recognizing it.
In this talk we would like to share insights about this approach, related projects (e.g. BIG-MAP), and how it actual helps to improve the interoperability between data, equipment and code which enables reusability and finally can significantly accelerate material research. On the outlook we want to provide a perspective on the upcoming data spaces (IDS, GAIA-X, etc.) that build strongly on semantics and will have a major impact on public and industry research.
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