Large-scale Biomedical Datasets for Equivalence and Subsumption Ontology Matching

The purpose of these datasets is to support <em>equivalence</em> and <em>subsumption</em> ontology matching. There are five ontology pairs extracted from MONDO and UMLS: <strong>Source</strong> <strong>Ontology Pair</strong> <strong>Category</strong> MONDO OMIM-ORDO Disease MONDO NCIT-DOID Disease UMLS SNOMED-FMA Body UMLS SNOMED-NCIT Pharm UMLS SNOMED-NCIT Neoplas Each pair is associated with three folders: "raw_data", "equiv_match", and "subs_match", corresponding to the downloaded source ontologies, the package for equivalence matching, and subsumption matching. See detailed documentation at: https://krr-oxford.github.io/DeepOnto/#/om_resources.