Beschreibung
In his keynote, Jan Portisch will explore the construction and operationalisation of RDF knowledge graphs in complex corporate environments. Drawing on extensive experience in integrating heterogeneous and evolving data sources, he will discuss architectural choices, practical strategies, and common challenges in building enterprise-scale knowledge graphs. The talk will also highlight how such knowledge graphs can support AI applications by improving semantic grounding, robustness, and explainability, and will provide an outlook on neuro-symbolic AI as a bridge between statistical learning and symbolic reasoning.
Chair: Dr. Wolfgang Süß (KIT)