Automatically Deriving Event Ontologies for a CommonSense Knowledge Base
James F. Allen, Will de Beaumont, Lucian Galescu, Jansen Orfan, Mary D. Swift, Choh Man Teng · 2013
We describe work aimed at building commonsense knowledge by reading word definitions using deep understanding techniques. The end result is a knowledge base allowing complex concepts to be reasoned about using OWL-DL reasoners. We show that we can use this system to automatically create a mid-level ontology for WordNet verbs that has good agreement with human intuition with respect to both the hypernym and causality relations. We present a detailed error analysis that reveals areas of future work needed to enable high-performance learning of conceptual knowledge by reading. 1.