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Applying Semantic Web Technologies to Drug Safety Determination

Explore how Oracle's RDF Data Model optimizes drug safety screening processes by integrating partner products for comprehensive insights.

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Applying Semantic Web Technologies to Drug Safety Determination

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  1. Applying Semantic Web Technologies to Drug Safety Determination Susie Stephens Principal Product Manager, Life Sciences Oracle susie.stephens@oracle.com

  2. Oracle’s Solutions for Life Sciences Discovery Finance, HR Project Management Sales & Marketing Development Supply Chain Management

  3. P1 S1 O1 P2 S2 P2 O2 RDF Data Model • RDF data stored in a directed, logical network • Subjects and objects map to nodes, and predicated map to links • Subject and object nodes are reused • RDF_MATCH query capability • RDF Triples: • {S1, P1, O1} • {S1, P2, O2} • {S2, P2, O2}

  4. Cerebra Server Image Source: IEEE Intelligent Systems

  5. Drug Safety Determination • Gated drug safety determination process • Data kept in separate silos • Need comprehensive view to drug safety

  6. Drug Safety Screening Rule Image Source: IEEE Intelligent Systems

  7. Summary • Oracle has a scalable, secure, highly-available RDF Data Model • Many partner products integrated with the RDF Data Model to form solutions • Strong solution for helping overcome data integration challenges

  8. Q & Q U E S T I O N S A N S W E R S A

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