Driving Digital Engineering Integration and Interoperability Through Semantic Integration of Models with Ontologies
Daniel Dunbar, Thomas Hagedorn, Mark Blackburn, John Dzielski, Steven, Hespelt, Benjamin Kruse, Dinesh Verma, Zhongyuan Yu

TL;DR
This paper presents DEFII, a framework utilizing Semantic Web Technologies to improve data integration and interoperability across complex, multi-disciplinary engineering models, enabling a unified, tool-agnostic source of truth.
Contribution
The paper introduces DEFII, a novel framework that incorporates SWT into engineering tasks, including a new Model Interface Specification Diagram for standardized, tool-agnostic data representation.
Findings
Enhanced data interoperability across engineering domains
Creation of a tool-agnostic authoritative data source
Improved reasoning capabilities with semantic integration
Abstract
Engineered solutions are becoming more complex and multi-disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different abstraction levels. Semantic Web Technologies (SWT) offer data integration and interoperability benefits as well as other opportunities to enhance reasoning across knowledge represented in multiple disparate models. This paper introduces the Digital Engineering Framework for Integration and Interoperability (DEFII) for incorporating SWT into engineering design and analysis tasks. The framework includes three notional interfaces for interacting with ontology-aligned data. It also introduces a novel Model Interface Specification Diagram (MISD) that provides a tool-agnostic model representation enabled by…
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Taxonomy
TopicsManufacturing Process and Optimization · Semantic Web and Ontologies · Business Process Modeling and Analysis
