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.
N. Noy, и D. McGuinness. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05
and Stanford Medical Informatics Technical Report SMI-2001-0880, (2001)http://www.ksl.stanford.edu/people/dlm/papers/ontology-tutorial-noy-mcguinness.pdf
(31. 03. 2005).
P. Cimiano, G. Stumme, A. Hotho, и J. Tane. Proceedings of the The Second International Conference on Formal Concept Analysis (ICFCA 04), стр. 189-207. Springer, (2004)
C. Tempich, H. Pinto, Y. Sure, и S. Staab. Second European Semantic Web Conference, ESWC 2005, том 3532 из LNCS, стр. 241--256. Heraklion, Crete, Greece, Springer, (мая 2005)