Paul Groth is the Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab.org). Paul led the design of a number of large scale data integration and knowledge graph construction efforts in the biomedical domain. Paul was co-chair of the W3C Provenance Working Group and continues to research data provenance and data integration.
2020 Talk: Knowledge Graph Maintenance
Knowledge graphs are increasingly built using complex multifaceted machine learning-based systems relying on a wide of different data sources. To be effective these must constantly evolve and thus be maintained. I present work on combining knowledge graph construction (e.g. information extraction) and refinement (e.g. link prediction) in end-to-end systems. I then discuss the challenges of ongoing system maintenance, knowledge graph quality and traceability.
View the complete talk in the KGC media library.