The purpose of these datasets is to support equivalence and subsumption ontology matching. There are five ontology pairs extracted from MONDO and UMLS: Source Ontology Pair Category 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 the package for subsumption matching. See detailed documentation at: https://krr-oxford.github.io/DeepOnto/#/om_resources. See the incoming OAEI Bio-ML track at: https://www.cs.ox.ac.uk/isg/projects/ConCur/oaei/. See our resource paper at: https://arxiv.org/abs/2205.03447.
C. Tempich, H. Pinto, Y. Sure, und S. Staab. Second European Semantic Web Conference, ESWC 2005, Volume 3532 von LNCS, Seite 241--256. Heraklion, Crete, Greece, Springer, (Mai 2005)
Y. Sure, C. Tempich, H. Pinto, und S. Staab. Intelligent Learning Infrastructures for Knowledge Intensive Organisations: A Semantic Web Perspective, Kapitel 14, Idea Group Publishing, Inc., (2005)