INTERCEPT/DATA KNOWLEDGE MANAGEMENT

CURRENT KNOWLEDGE-BASED SYSTEMS REQUIRE SPECIALIZED KNOWLEDGE STRUCTURES TO SUPPORT THEIR PROCESSING AND ARE UNABLE TO PROPERLY UTILIZE OR INTERFACE WITH CONVENTIONAL DATA BASES. ADS HAS DEVELOPED AN INTERCEPT MANAGEMENT FUNCTION WHICH CAN INTERFACE TO A CONVENTIONAL THREAT DATABASE TO SUPPORT C3 COUNTERMEASURES OPERATIONS. THE INTERCEPT MANAGEMENT FUNCTION ESTABLISHES THE RELATIVE VALUE OF DATA IN THE DATA BASE TO SUPPORT INTELLIGENCE COLLECTION/JAMMING OBJECTIVES. THIS RESEARCH WILL IDENTIFY AND DESIGN INTEGRATED DATA/KNOWLEDGE MANAGEMENT STRUCTURES TO ENABLE THE INTERCEPT MANAGEMENT FUNCTION TO INTERFACE WITH EXISTING C3 ANALYSIS DATABASES. DATA AND KNOWLEDGE STRUCTURES WILL BE EVALUATED FOR COMPATIBILITY, WITH THE OBJECTIVE OF PRESERVING THE DATA BASE STRUCTURES. KNOWLEDGE ACQUISITION WITH DATA BASE DEVELOPERS AND USERS WILL RESULT IN A FUNCTIONAL DESIGN FOR THE FINAL MODULE, WHICH INCORPORATES A RELATIONAL DATA BASE AND THE RULES/FRAMES FROM THE INTERCEPT MANAGEMENT DECISION AID.