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FORUM is an open knowledge network aiming at supporting metabolomics results interpretation in biomedical sciences and automated reasoning. Containing more than 8 billion statements, it federate data from several life-science resources such as PubMed, ChEBI and PubChem. Leveraging the bridges in this linked dataset, we automatically extract associations between compound and biomedical concepts, using literature metadata enrichment.