FORUM: building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases.

ABSTRACT:

Motivation

Metabolomics studies aim at reporting a metabolic signature (list of metabolites) related to a particular experimental condition. These signatures are instrumental in the identification of biomarkers or classification of individuals, however their biological and physiological interpretation remains a challenge. To support this task, we introduce FORUM: a Knowledge Graph (KG) providing a semantic representation of relations between chemicals and biomedical concepts, built from a federation of life science databases and scientific literature repositories.

Results

The use of a Semantic Web framework on biological data allows us to apply ontological-based reasoning to infer new relations between entities. We show that these new relations provide different levels of ab

SUBMITTER: Delmas M 

PROVIDER: S-EPMC8570811 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature