Presented by Nathan Maynes, Sr. Data Engineer, Special Services at Thomson Reuters.
Effectively searching disparate data sets is a hard problem and modeling those datasets into a graph can make the problem more complex. At TRSS, we organize dozens of data sources into a graph and index them to Solr and Neo4j. In this talk we will explore the strengths of RDF and labeled property graphs (LPG) to answer different kinds of questions. We will also review a case study on how our team uses RDF and LPG to dynamically monitor influence and risk in multiple target populations.