An Executable Ontology Framework for Integrating Risk Management into Requirements Architecture

Overview This technical note introduces an ontology-based framework for integrating ISO-compliant risk management models into software requirements engineering. The approach formalizes requirement models (based on ArgonDigital’s integrated requirements architecture) and a comprehensive set of risk artifacts (e.g., risk registers, mitigation strategies, treatment plans) as OWL/RDF classes. Semantic relationships among goals, systems, people, data, and risks are expressed using reified n-ary relations and a core vocabulary of universal ontological predicates (e.g., `Causality`, `Aggregation`, `Modality`). SWRL rules support reasoning over semantic links, enabling traceability, classification, and impact analysis. The current version includes the conceptual model and formal excerpts embedded in the PDF. Full OWL implementation will be published in a future version. Keywords Executable ontology, Risk management, Requirements engineering, Semantic web, OWL/RDF, SWRL rules, Integrated requirements architecture, Ontology design patterns, ISO 31000, Reified relations, Knowledge representation License This work is published under the Creative Commons Attribution 4.0 International (CC BY 4.0)(https://creativecommons.org/licenses/by/4.0/) license. Author Oleg Vasylovych Moroz State University "Kyiv Aviation Institute", Kyiv, Ukraine [email protected] Future Work Future versions will include:- Full OWL ontology with reasoning support.- SPARQL templates for risk analysis.- Ontology learning extensions.- Use-case validation in MBSE toolchains. Citation Please cite this work using the DOI: Moroz, Oleg V. (2025). An Executable Ontology Framework for Integrating Risk Management into Requirements Architecture. Zenodo. https://doi.org/10.5281/zenodo.15703106