Disease ontologies for knowledge graphs

• Main Authors: Natalja Kurbatova, Rowan Swiers
• Format: Article
• Language: English
• Published: BMC 2021-07-01
• Series: BMC Bioinformatics
• Subjects: Ontologies; Knowledge graph; Data integration
• Online Access: https://doi.org/10.1186/s12859-021-04173-w

Abstract Background Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy. A common task is to map between ontologies, find disease clusters and finally build a representation of the chosen disease area. There is a shortage of published resources and tools to facilitate interactive, efficient and flexible cross-referencing and analysis of multiple disease ontologies commonly found in data sources and research. Results Our results are represented as a knowledge graph solution that uses disease ontology cross-references and facilitates switching between ontology hierarchies for data integration and other tasks. Conclusions Grakn core with pre-installed “Disease ontologies for knowledge graphs” facilitates the biomedical knowledge graph build and provides an elegant solution for the multiple disease ontologies problem.