Data Retrieval Assistant for COnsistent simulation data exploration using semantic NL interfaces (DRACO)

Knowledge Based Systems, Inc. (KBSI) proposes to design, demonstrate, validate, and harden an innovative solution for the analysis and enhanced understanding of federated simulation output data in a manner that consistently increases data analystsÆ efficiency and effectiveness. Building off the successful Phase I æData Retrieval Assistant for COnsistent simulation data exploration using semantic NL interfaces (DRACO)Æ solution, the proposed Phase II project will design, prototype, validate, and harden the DRACO innovation, leading to accelerated technology transition and commercialization. The flexible DRACO architecture design will allow for affordable integration and rapid transition to a Modeling and Simulation (M&S) ecosystem. Innovations include (i) semantic disambiguation methods for processing Natural Language text inputs, (ii) hybrid Artificial Intelligence (AI) methods for automated query generation, (iii) dynamic and interactive human machine interfaces for enhanced data understanding, and (iv) automated learning methods to enable dynamic adaptation of the search and exploration over extended time. Approved for Public Release |21-MDA-10789 (21 Apr 21)