Ryan Mitchell

Knowledge graphs, semantic triples, and their ontological kin are fast and cheap to generate with modern artificial intelligence algorithms. However, these algorithms are not infallible, and, as the pace of research increases, we may find ourselves managing multiple AI experiments, competing outputs, and even human-labeled judgments.

Knowledge graphs and their ontology-based database kin have exploded in popularity in recent years. Through cheap data sources and powerful inference engines, they can grow extremely quickly.