Context Based Data Abstraction

Today"s military decision makers are drowning in a sea of data, faced with a diverse set of problems to solve and a wide variety of information resources to draw upon. This situation is anything but static, as today"s rapidly evolving asymmetric conflicts generate a continuously changing set of problems and a flood of potentially relevant data. Often the most challenging and time consuming component of problem solving and decision-making is formulating a simple, abstract model of the problem that yields to analysis. The proposed Automated Data Abstraction and Modeling (ADAM) system integrates a suite of powerful and flexible structure and relationship discovery algorithms with a set of soldier-centric visualization capabilities. The Phase II system will also incorporate DAC"s advanced language processing software, allowing the end-user to apply ADAM"s analysis tools and visualization capabilities to large sets of unstructured text. The resulting capability forms a powerful, data-driven analytical system that can be applied to a wide range of intelligence analysis and battle management problems. ADAM will have immediate operational impact as we have the ability to spiral functionality into DCGS, Army G2 LandISRNet, USAIC, and the FBI throughout the Phase II effort.