Currently, the state-of-the-art in space asset tracking and information management is bar-coding with relational database support. To support NASA's need for reliable and low-cost asset management, Payload Systems Inc. and MIT propose to develop Rule-based Analytic Asset Management for Space Exploration Systems (RAMSES) ? an intelligent space exploration environment in which information is shared and automatically harmonized among disparate data sources. This information is then combined with mathematical models and rule-based analysis to produce meaningful data for asset tracking and intelligent decisions. The combined data will communicate with analytic models that provide analyses, estimates, predictions and plans. This intelligent space exploration environment will be equipped with sensors, radio frequency identification (RFID) equipment and sophisticated information infrastructures to make full use of multiple data streams.