INsight to Diverse Information using Graphs and Ontologies (INDIGO) will allow multiple stakeholders across program roles and engineering disciplines to easily find and visualize information represented in different modeling languages and formats, manipulated with different tools and environments, stored in multiple repositories, and distributed across multiple organizations. By combining description logic reasoning, subgraph pattern matching, and distributed ontology technologies, INDIGO will pull information from these disparate sources and present it in the context of the stakeholder that requested it and in a form that supports the activities they are responsible for performing. INDIGO will provide transformative new capabilities to support multi-disciplinary collaboration and multi-model visualization. INDIGO will deal with very large amounts of modeling data and associated information (such as analysis results) spread across multiple repositories. INDIGO will benefit stakeholders by helping them with understanding, verifying, and validating this information to support their respective efforts in the system development.
INDIGO addresses the NASA need for "Tools or systems that allow models to be shared across development environments and trace the resulting system model back to contributions from multiple partners while maintaining information security." Large international NASA programs such as Gateway and Artemis require collaboration between many diverse stakeholders, including subsystem vendors, integrators, and operators. These will face the model interoperability and data aggregation challenges addressed by INDIGO.
The non-NASA markets are those with systems that are analogous to those in the NASA market, mission-critical cyber physical systems with significant functionality captured in software. Themost near-term is the collection of Army efforts that comprise the Future Vertical Lift modernization priority.