Tool-Agnostic Digital Engineering Platform Ontology Design

We propose to build a Tool-Agnostic Digital Engineering Platform Ontology that will allow for faster and more intelligent use of digital engineering tools and allow non-subject matter experts to leverage models and simulations expertly.  Our approach has three novel aspects to it:   First, the Tool-Agnostic Digital Engineering Platform Ontology will be designed such that the models and digital engineering components can be optimized using artificial intelligence (AI) to be able to leverage the right models at the right fidelity, all while minimizing compute resources. This will allow non-experts across an organization to benefit from the models as if they were an expert. (PEOPLE)   We will automate the data exchange and integration between digital engineering tools such that they can be run autonomously. This will enable many more scenarios to be run at all times, such as training autonomous systems, something that is not possible with current physical-based testing paradigms.  (SPEED)   The interfaces between the tools and models (e.g. Architecture, requirements, Analysis, etc.) will be constructed using REST APIs and flexible ontologies, such that the platform is tool agnostic and could be integrated in the future across multiple disciplines and levels of fidelity, allowing wholly new types of systems to be modeled that have never been possible before, including AI-based armaments. (NEW CAPABILITIES)   The problem must be solved by realizing that any set of digital systems models (DSM) is really a collection of different models and that any certification or regulatory process is really a collection of different document requirements.  In order to connect them we break the problem into three separate technical problems that are discussed in detail in the technical volume.