Paul Groth

Prof. Dr. Paul Groth is a faculty member at the Informatics Institute within the Faculty of Science at the University of Amsterdam. He leads the Intelligent Data Engineering Lab (INDElab) and collaborates extensively with institutions like the Vrije Universiteit Amsterdam and Elsevier Labs. His research focuses on data provenance, knowledge graphs, and machine learning systems with emphasis on reproducibility and semantic integration.

Research Interests include

• Data Provenance and Traceability
• Knowledge Graph Construction & Evolution
• Neurosymbolic AI Systems
• Graph Learning & Semantic Web Technologies
• Digital Twins & Ontology Design

Article Trends reveal a 2025 focus on LLM-knowledge graph intersections, emergent data patterns, and hyperbolic embedding architectures. His work addresses challenges in data distribution shifts, entity matching, and graph neural network explanations, while maintaining a strong foundation in FAIR data principles and provenance tracking.

Secondary Activities include co-founding longform.ai, serving as co-editor for Morgan & Claypool, and contributing to international conferences like ESWC and ISWC. His research receives funding from European Union, NSF, NWO, and industry partners such as Weaviate and Ahold Delhaize.