Using our recently developed COVID-19 Infectious Disease Ontology in combination with the existing Coronavirus Infectious Disease Ontology, we will annotate 400 articles in PubMed on coronavirus research. The resulting gold standard will be used to train algorithms for automated annotation tasks, which will be used to identify patterns in COVID-19 datasets, with applications including data mining and consolidation, pattern recognition, and hypothesis generation and testing.