Driving digital engineering integration and interoperability through semantic integration of models with ontologies

被引:6
|
作者
Dunbar, Daniel [1 ]
Hagedorn, Thomas [1 ]
Blackburn, Mark [1 ]
Dzielski, John [1 ]
Hespelt, Steven [1 ]
Kruse, Benjamin [2 ]
Verma, Dinesh [1 ]
Yu, Zhongyuan [1 ]
机构
[1] Stevens Inst Technol, Syst Engn Res Ctr SERC, Hoboken, NJ 07030 USA
[2] efs TechHub GmbH Gaimersheim, Gaimersheim, Germany
关键词
digital engineering; SEE24 model-based systems engineering (MBSE); SEE26 modeling and simulation; SEE29 other systems engineering enablers; semantic web and ontologies;
D O I
10.1002/sys.21662
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 SWT that exposes data stored for use by external users through standards-based interfaces. Use of the framework results in a tool-agnostic authoritative source of truth spanning the entire project, system, or mission.
引用
收藏
页码:365 / 378
页数:14
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