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The 48th German Conference on Artificial Intelligence, organised by the German Informatics Society, is one of Europe's most important AI conferences. That Perelyn was represented this year with not one but two workshop contributions is, for us, a sign that our research is finding fertile ground.
At the Special Interest Group for Knowledge Management workshop, Michael Banf presented an approach we have been working on intensively: Tripartite GraphRAG via Plugin Ontologies. The idea behind it is a specialised GraphRAG representation that organises knowledge structures in a way that enables AI systems to access information more precisely and context-sensitively.
In the afternoon, Johannes Kuhn took the stage at the "AI in Production" workshop. His topic: How can language-model-specific standards such as the Model Context Protocol improve communication between AI systems and manufacturing environments? The question sounds technical, but it has a very concrete core. In industrial manufacturing, standardised interfaces for AI integration are still largely missing. And that is exactly what holds many companies back.
What stood out to us: the discussions after the talks. Johannes' contribution sparked an intense exchange about the complexity of connecting disparate systems in production environments. And the knowledge management workshop led to conversations we are keen to continue.
Research and practice belong together for us. Conferences like this one show where the bridge holds.
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Liliya Imasheva presented a validation pipeline for evaluating AI summaries at Conf42 Large Language Models 2026.
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At the IOCMA 2026 conference, Perelyn presented our method, which transforms graph data such as supply chains or networks so that AI models can learn more reliably from it, even over long distances.
