Assembly and reasoning over semantic mappings at scale for biomedical data integration

Abstract: Motivation: Hundreds of resources assign identifiers to biomedical concepts including genes, small molecules, biological processes, diseases, and cell types. Often, these resources overlap by assigning identifiers to the same or related concepts. This creates a data interoperability bottleneck, as integrating data sets and knowledge bases that use identifiers for the same concepts from different resources require such identifiers to be mapped to each other. However, available mappings are incomplete and fragme… Show more