Disease ontologies for knowledge graphs.

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

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SUBMITTER: Kurbatova N 

PROVIDER: S-EPMC8296689 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature