The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data.

ABSTRACT: The Data Distillery Knowledge Graph (DDKG) is a framework for semantic integration and querying of biomedical data across domains. Built for the NIH Common Fund Data Ecosystem, it supports translational research by linking clinical and experimental datasets in a unified graph model. Clinical standards such as ICD-10, SNOMED, and DrugBank are integrated through UMLS, while genomics and basic science data are structured using ontologies and standards such as HPO, GENCODE, Ensembl, STRING, and ClinVar. The DDKG uses a property graph architecture based on the UBKG infrastructure and supports ontology-based ingestion, identifier normalization, and graph-native querying. The system is modular and can be extended with new datasets or schema modules. We demonstrate its utility for informatics quer

SUBMITTER: Ahooyi TM 

PROVIDER: S-EPMC12363844 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature