Ontologies are a way to represent and communicate knowledge, understandable to both - machines and humans. But what level of expressivity is needed to be able to convey human thoughts and human understanding of the world to machines? Are current graph representation models sufficient for generalisation and reasoning? How many ontology engineers would it take to build an Enterprise-wide Knowledge Graph?
Great conversation with Panos Alexopoulos, Head of Ontology @textkernel and Author of "Semantic Modelling for Data".