Regulatory Ontology and Compliance Assessment Suite (ROCAS)

Developed by Mosaic ATM in collaboration with George Mason University, the Regulatory Ontology and Compliance Assessment Suite (ROCAS) is an AI-driven Model-Based Enterprise (MBE) framework designed to streamline regulatory gap and compliance analysis for use cases in Advanced Air Mobility (AAM) and beyond. ROCAS enhances regulatory compliance analysis by leveraging advancements in natural language processing (NLP), including large language models (LLMs) and graph-based retrieval augmented generation (GraphRAG). Through an ontology-based knowledge representation, it assesses compliance between standards and source documentation, improving accuracy and efficiency. To ensure document traceability, ROCAS generates an exportable report that identifies well-defined, poorly defined, ambiguous, or conflicting aspects between regulatory standards, high-level policies, and source documents. Its unique graph representation of regulatory documents can be visualized and exported for closely related applications and use cases. Designed by aviation experts for aviation experts, ROCAS is not a fully automated replacement but a hybrid model that integrates subject matter expert (SME) knowledge through structured ontologies and decision-making. This approach eliminates repetitive manual parsing and tracing of standards to documentation, providing SME-in-the-loop decision support. Phase I will develop a use case in AAM to demonstrate a real-world mock scenario. For scalable implementation and integration, Phase I will expand the initial proof-of-concept into a mock AAM use case and develop the infrastructure for broader integration into other NASA Model-Based Anything (MBx) scenarios in Phase II. This effort will include enhancements such as graph export capabilities, simplified user interfaces, and local hosting models to maximize data governance.