Advanced Self-Learning Ontologies

Period of Performance: 09/18/2013 - 09/17/2015


Phase 2 SBIR

Recipient Firm

Securboration, Inc.
Principal Investigator


ABSTRACT: This SBIR is intended to directly support a Small Business Technology Transition Plan (STTP) that provides a roadmap to leverage semantic technologies to support potentially very large (order of magnitude) cost savings and capability enhancements as the Air Force (AF) complies with the mandates of the multi-billion dollar Federal Aviation Administration (FAA) Next Generation Air Transportation System known as NextGen. Specifically, this SBIR will adapt and transition the Requirement Analysis Portal (RAP), which is a transitioned product of OGEP Phase I and Phase II research efforts developed by Securboration Inc., to facilitate interagency strategic NextGen planning, programming, and acquisition. BENEFIT: Improved Performance: The processes of planning, programming, and acquisition alignment are nearly impossible to accomplish by hand on a large scale due to high labor costs, time constraints, and human limitations. Greater Reliability: Formally modeling the AF and FAA domains provides concepts and entities with unique, machine-readable names. With this appropriate and unambiguous naming, domain models can support the analysis of linked data on a large scale. Cost Savings: Consolidation and collaboration can help reduce duplication and synchronize efforts across AF and FAA agencies. This will enable the identification of joint opportunities, increase situational awareness of agency NextGen activities, and help streamline acquisition processes.