There is a newer version of the record available.

Published May 2, 2022 | Version Deprecated
Dataset Open

Large-scale Biomedical Datasets for Equivalence and Subsumption Ontology Matching

Creators

  • 1. University of Oxford

Description

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 subsumption matching. See detailed documentation at: https://krr-oxford.github.io/DeepOnto/#/om_resources.

Files

Mondo.zip

Files (234.6 MB)

Name Size Download all
md5:c9266cb3e3d827de4fde544cf5a935c9
74.2 MB Preview Download
md5:36b7511a08537aafcc1f40239589309e
160.4 MB Preview Download
md5:783c171731e0c34008d44841029ede31
842 Bytes Preview Download