A production system with the proposed functionality would be useful to many current NASA sponsored, applied science and decision support programs because of incompatible and thus hard or impossible to discover data sets which may be however relevant to research, analysis and decision making. The following are examples for areas of interest and specific NASA projects: * Water management; BASINS, AWARDS, NWS RFS * Natural Disasters; Global Flood and Landslide Monitoring and Prediction, WRAP * Ecological Forecasting applications; NPS Resource Management, Fire Information for Resource Management Systems * US Natural Disaster monitoring and mitigation * Worldwide relief planning for natural disasters tsunami, volcanos, earthquakes, fires, floods * US land resources drought management and relief; wild fire management and mitigation; forest services land use management and natural disasters planning; hurricane and coastal flood planning. All of the following agencies are candidates for use of a production version of our system for situational intelligence and emergency/disaster preparedness, response and recovery: * Department of Defense, NSA, CIA, NRO, NGA, DIA, FBI, DEA, etc. for international and domestic operations * Homeland Security for counterterrorism plus FEMA, Coast Guard, border security, cybersecurity * US Forest Service, Dept. of Agriculture, Federal Aviation Administration for land and air management. * State and City Governments in the fifty states for predictive policing and counter terrorism. The Fusion Centers for each state or city which coordinates with Homeland Security nationwide are also candidate customers. Exploration and Production for Mining, Oil and Gas and Water Resources. Police at State and Local Levels: One specific area of application is human and child trafficking. A key element is to use social media to help find and arrest child traffickers who advertise, recruit and sell using the Internet social media. Satellite and aerial image providers: enhancing the situational intelligence capability of the current operational systems to be more efficient by making new relevant data sources available to analysts.