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.
E. Ilkou, H. Abu-Rasheed, M. Tavakoli, S. Hakimov, G. Kismihók, S. Auer, and W. Nejdl. The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings, volume 12922 of Lecture Notes in Computer Science, page 546--562. Springer, (2021)
A. Memariani, M. Glauer, F. Neuhaus, T. Mossakowski, and J. Hastings. International Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021), volume 2998 of CEUR Workshop Proceedings, http://ceur-ws.org/Vol-2998/, (2021)
P. Kathiria, and S. Ahluwalia. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 5 (1):
53 - 62(February 2016)