Attended by over 70 participants, the second Workshop on Knowledge Graphs for Social Good (KG4SG) featured an amazing variety of applications of knowledge graphs as well as lively discussion by our speakers and panel of experts.
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.
M. Falis, H. Dong, A. Birch, and B. Alex. Proceedings of the 21st Workshop on Biomedical Language Processing, page 389--401. Dublin, Ireland, Association for Computational Linguistics, (May 2022)
M. Falis, H. Dong, A. Birch, and B. Alex. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, page 907--912. Online and Punta Cana, Dominican Republic, Association for Computational Linguistics, (November 2021)