ORBiT is implemented as a distributed analytic platform consisting of a software stack atop of Hadoop and makes use of Titan, a distributed graph database as a backend for data storage. Data from each of the traditional and non-traditional sources are hosted as a massive linked structure, with extensible interfaces for each stream. The data from the linked structure is interfaced with streaming and graph-data analytic modules. The outputs from the analytic modules are interfaced with visualization tools that enable analysts to detect spatial and temporal patterns/correlations across multiple data sources.
Objective
Our objective is to provide 1) forecasting and early warning, and 2) an extensible data analytics platform for biosurveillance by enabling the use of traditional and non-traditional datasets, consisting of heterogeneous data types and modalities.