Ontology Driven Integration Framework (ODIF)

The main goal of this project is to design, develop, and demonstrate an innovative Ontology Driven Integration Framework (ODIF). We propose a hybrid approach that combines knowledge extraction techniques with ontology analysis methods to automatically extract knowledge from distributed, unstructured text sources and facilitate the integration and sharing of this knowledge for space launch and range applications. In the Phase I effort, we (i) established ODIF requirements, (ii) formulated knowledge extraction and semantic mapping methods, (iii) designed the ODIF architecture, (iii) developed, tested, and demonstrated a prototype ODIF application at Cape Canaveral Air Force Station (CCAFS), and (iv) designed an approach for integrating ODIF into the 45thSpace Wing’s Knowledge Management Framework. The Phase II project will harden and scale up the prototype application and demonstrate its benefits on actual Range system design, testing, and requirements management activities at CCAFS. This effort will lead to immediate and significant benefits for the Space Launch enterprise.