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Information extraction and data mining in biochemical literature is adaunting task that demands resource-intensive computation and appropriate meansto scale knowledge ingestion. Being able to leverage this immense source oftechnical information helps to drastically reduce costs and time to solution inmultiple application fields from food safety to pharmaceutics. We present ascalable document ingestion system that integrates data from databases andpublications (in PDF format) in a biochemistry knowledge graph (BCKG). The BCKGis a comprehensive source of knowledge that can be queried to retrieve knownbiochemical facts and to generate novel insights. After describing theknowledge ingestion framework, we showcase an application of our system in thefield of carbohydrate enzymes. The BCKG represents a way to scale knowledgeingestion and automatically exploit prior knowledge to accelerate discovery inbiochemical sciences.

An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries