Conflicting Data in Semantic Graphs

In the fight against global terrorism, many organizations have been confronted with how to practically and reliably interpret data. This is especially true with financial information, for example, because high-risk individuals and organizations may deliberately modify their data. Fetch Technologies developed a platform that uses its record linkage technology to identify co-referent database records. This technology traces the pedigree of data and establishes relationships and associations between data elements. Fetch completed the modification of this machine learning algorithm and investigated ways to represent semantic graphs while also allowing user input for the resolution of anomalous relationships between the entities. Requests for additional information should be sent to ipsubgroup@tswg.gov.