Best Paper Award at KGSWC
The Sixth International Knowledge Graph and Semantic Web Conference (KGSWC) has awarded the Best Paper Award to “Enriching RDF Data with LLM-Based Named Entity Recognition and Linking on Embedded Natural Language Annotations.”
Authored by Michael Freund, Rene Dorsch, Sebastian Schmid, Thomas Wehr, and Andreas Harth, the paper introduces an innovative approach to improving data interoperability. The proposed pipeline leverages large language models (LLMs) for named entity recognition to extract information from natural language annotations, link it to predefined knowledge graph entities, and transform the information into a machine-readable format.
Held in Paris from December 11–13, 2025, the KGSWC conference gathered leading experts in knowledge graphs and semantic web technologies to discuss the latest advancements, innovative applications, and emerging trends in the field.