This lecture discusses reasoning in Knowledge Graphs. Reasoning is essential to gain value from Knowledge Graphs by deriving insights and making available new implicit data from existing data. We will cover the theory and practice of reasoning in Knowledge Graphs, and provide a number of easily accessible examples based on Oxford’s Vadalog system.

See Lecture by prof. Georg Gottlob, University of Oxford  at the Course CS 520 Knowledge Graphs, Department of Computer Science, Stanford University, Spring 2020