OAEI 2023 Bio-ML Challenge Datasets

该数据集属于生物医学领域的机器学习赛道，涵盖了多个涉及生物医学本体论的任务，这些任务参照了基于Mondo和UMLS的参考对齐。数据集包括诸如OMIM-ORDO、NCIT-DOID、SNOMED-NCIT-Pharm和SNOMED-NCI-Neoplas等任务，并为全局匹配和局部排序提供了评估设置。该数据集规模包含数万个类别，其任务重点在于本体对齐。This dataset is part of the machine learning track within the biomedical domain. It encompasses multiple tasks related to biomedical ontologies, whose reference alignments are based on Mondo and UMLS. The dataset includes tasks such as OMIM-ORDO, NCIT-DOID, SNOMED-NCIT-Pharm, and SNOMED-NCI-Neoplas, and provides evaluation settings for both global matching and local ranking. It contains tens of thousands of categories, with the core focus of its tasks being ontology alignment.

搜集汇总

背景与挑战

背景概述

该数据集是生物医学领域的本体对齐挑战数据集，包含多个基于Mondo和UMLS参考对齐的任务，如OMIM-ORDO、NCIT-DOID等，规模达数万个类别，并提供全局匹配和局部排序的评估设置。