We present a method of mapping meanings from ontologies to an informational and environmental context which exists independently of, but coupled with, a systems model. While the methodology is applicable to other complexity characteristics in systems engineering, the scope of this paper is focused upon subjective complexity in systems engineering models - a process component of complexity that is characterized by levels of incompleteness in meaning, knowledge and understanding - from first awareness, through requirements, realization, implementation, validation, verification, adaptation and decline.

We show the mapping relationships from ontologies and taxonomies modeled in the Web Ontology Language (OWL) and a Resource Descriptive Framework (RDF) upon a context, and between the system model and the context model through interfaces. We shall further show expansion upon the ontology from simulations of the complete system by the application of an Ontology Definition Metamodel (ODM) and the use of late binding by means of a Meta Object Facility (MOF) factory.

The objective of this system is to expand upon traditional static structure / behavior modeling while insulating the modeler from the oppressive detail required for completeness in system design. At the same time, we hope to provide a level of meaningful guidance, and a means of navigating the complex interconnectedness of that detail.