Use of Semantic Web Technologies to Enable System Level Verification in Multi-Disciplinary Models

Abstract

Integration of data from multiple sources into a single, project wide view is a necessity to keep up with increasing complexity and transdisciplinary considerations in engineering projects. Semantic Web Technologies (SWT) provide a unique way of linking and reasoning upon data from disparate sources to gain insights on the data viewed as a whole. By ingesting project data into a tool-agnostic repository and applying targeted reasoning, SWT can be used to perform system level verification tasks, such as providing a Key Performance Indicator (KPI) of completeness that gives project design and status insights to key stakeholders. This paper reports research creating a Semantic System Verification Layer (SSVL) as an extension to an existing Digital Engineering framework that utilizes SWT. This process and procedure are applied to a relevant use case to demonstrate and clarify the functions.