Database support to data fusion automation

Because the development of robust context-sensitive data fusion algorithms can require the evaluation of sensor-derived data with respect to large scale domain knowledge bases, database management systems can be expected to play an increasingly important role in machine-based reasoning. This paper offers a top-down view of key algorithm and database management system requirements associated with advanced data fusion applications. A database kernel design is outlined that seeks to achieve an effective compromise across a range of algorithm performance and database efficiency requirements