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Drug and Vaccine Discovery: Knowledge Graph + Apache Spark

RDF, Knowledge Graphs, and ontologies enable companies to produce and consume graph data that is interoperable, sharable, and self-describing. GSK has set out to build the world’s largest medical knowledge graph to provide our scientists access to the world’s medical knowledge, also enable machine learning to infer links between facts. These inferred links are the heart of gene to disease mapping and is the future of discovering new treatments and vaccines. To power RDF sub-graphing, GSK has developed a set of open-source libraries codenamed “Project Bellman” that enable Sparql queries over partitioned RDF data in Apache Spark. These tools provide the ability to scale up to Sparql querying over trillions of RDF triples, provide point-in-time queries, and provide incremental data updates to downstream consumer applications. These tools are used by both GSK’s Ai/ML team to discover gene to disease mappings, and GSK’s scientists to query over the world’s medical knowledge. Connect with us: Website: https://databricks.com Facebook:   / databricksinc   Twitter:   / databricks   LinkedIn:   / databricks   Instagram:   / databricksinc   Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...