The Navy today possesses databases supporting the unique requirements of individual combat training systems. These individual databases are implemented using different database management systems (DBMSS) and support differing programming languages. Many exist on separate computer hardware. To generate accurate and realistic scenarios for battle force tactical training, it is necessary to access, correlate and integrate the data contained in these disparate databases, and to be able to program the generation of battle force tactical training scenarios in a common, high-order language. Because the individual databases will continue to be used for their unique combat training functions, new data will certainly be added to them overtime. Also, new individual systems will be developed, and their data will be an acceptable solution. An optimal solution is to allow the battle force systems to directly access the data resident in the individual systems. In addition, the battle force scenario system must be able to support one or more databases of information unique to battle force level concerns, and should be constructed in such a way as to follow the gradual introduction of expert systems components. The solution is to build bridges between the high-level expert systems language and the various databases. These bridges allow the expert system to view the data in the database as if it were expressed in the expert system's native language. The expert system can both read the data and write data to the database, without dumping the database across to the expert system language. Moreover, it can invoke many of the foreign-language applications routines which are associated with the database. Applied Logic Systems, Inc. ., .proposes a feasibility study aimed at producing a prototype demonstration battle force scenario generation system which integrates data from two or more individual scenario generation systems. Access to individual data base information will be provided through use of the ALS data access tools. The system will demonstrate the ability to flexibly integrate and correlate the data from individual databases...scenario generation
