CYNNOVATIVE BASE, HETEROGENEITY IN DATA MODELS ACROSS DATA SILOS REMAIN THE SINGLE BIGGEST TECHNICAL OBSTACLE TO THE TRANSITION OF DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA) DEVELOPED TECHNOLOGIES ACROSS THE REST OF THE DEPARTMENT OF DEFENSE (DOD) AND THE INTELLIGENCE COMMUNITY (IC). THIS RESEARCH PROPOSES TO DEVELOP A TWO-PRONGED APPROACH TO OVERCOME THESE LIMITATIONS CURRENTLY FACED IN TRANSITION EFFORTS. THE OUTPUT OF THIS APPROACH REPRESENTS THE EXPLICITLY AND PROBABILISTICALLY LINKED DATA IN A HETEROGENOUS INFORMATION GRAPH THAT IS FAMILIAR FOR AN FOR AN ANALYST TO QUERY WITHOUT IMPOSING ANY ADDITIONAL SYSTEM-SPECIFIC TRAINING.

Description

CYNNOVATIVE BASE, HETEROGENEITY IN DATA MODELS ACROSS DATA SILOS REMAIN THE SINGLE BIGGEST TECHNICAL OBSTACLE TO THE TRANSITION OF DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA) DEVELOPED TECHNOLOGIES ACROSS THE REST OF THE DEPARTMENT OF DEFENSE (DOD) AND THE INTELLIGENCE COMMUNITY (IC). THIS RESEARCH PROPOSES TO DEVELOP A TWO-PRONGED APPROACH TO OVERCOME THESE LIMITATIONS CURRENTLY FACED IN TRANSITION EFFORTS. THE OUTPUT OF THIS APPROACH REPRESENTS THE EXPLICITLY AND PROBABILISTICALLY LINKED DATA IN A HETEROGENOUS INFORMATION GRAPH THAT IS FAMILIAR FOR AN FOR AN ANALYST TO QUERY WITHOUT IMPOSING ANY ADDITIONAL SYSTEM-SPECIFIC TRAINING.

Overview