Semantic design space refinement for model-based systems engineering

Schmit, Matt; Briceño, Simon I.; Collins, Kyle; Mavris, Dimitri N.; Lynch, Kevin J.; Ball, George L.

doi:10.1109/syscon.2016.7490579

Cited by 13 publications

(14 citation statements)

References 6 publications

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“…The future work of this study involves the expansion of the case study and extraction of the SoS design space generated in the inferred ontology file. Similar approaches to those presented in [31] can be used to transfer the information from the ontology to matrix-based approaches. This transfer allows for more advanced numerical calculations and optimizations needed for the remaining levels of interest proposed in [1].…”

Section: Discussionmentioning

confidence: 99%

“…Studies from Georgia Tech's Aerospace Design Laboratory (ASDL) have shown that ontologies can be used to model and prune the design space of cyberphysical systems in the context of conceptual design [30]. It has also been shown that matrix-based approaches such as an Interactive Reconfigurable Matrix of Alternatives (IRMA) can be used to illustrate and create the available design space from the knowledge captured in the ontology [31].…”

Section: Capability-and System-of-systems Engineeringmentioning

confidence: 99%

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An Ontological Approach to System of Systems Engineering in Product Development

Franzén¹,

Staack²,

Jouannet³

et al. 2019

Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

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This paper presents an approach to system-of-systems engineering for product development with the use of ontology. A proposed method for building as well as using ontology to generate and explore system-of-systems design spaces based on identified system-of-system needs is presented. The method is largely built to cover the first levels of related work, where a process for system of systems in the context of product development is introduced. Within this work, it is shown that scenarios for a system-of-systems can be used to identify needs and subsequently the system-of-systems capabilities that fulfils them. The allocation of capabilities to possible constituent systems is used to show the available design space. The proposed method of this paper therefore addresses these initial challenges and provides a framework for approaching the system-of-systems design space creation using ontology. A case study is used to test the method on a fictitious search and rescue scenario based on available resources and information from the Swedish Maritime Administration. The case study shows that a representation of a system-of-systems scenario can be created in an ontology using the method. The ontology provides a representation of the involved entities from the fictitious scenario and their existing relationships. Defined ontology classes containing conditions are used to represent the identified needs for the system-of-systems. The invocation of a description logic reasoner is subsequently used to classify and create an inferred ontology where the available system-of-systems solutions are represented as sub-classes and individuals of the defined classes representing the needs. Finally, several classes representing different possible system-of-systems needs are used to explore the available design space and to identify the most persistent solutions of the case study.

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Section: Discussionmentioning

confidence: 99%

Section: Capability-and System-of-systems Engineeringmentioning

confidence: 99%

An Ontological Approach to System of Systems Engineering in Product Development

Franzén¹,

Staack²,

Jouannet³

et al. 2019

Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

View full text Add to dashboard Cite

show abstract

“…The failure to recognize this variability is a common symptom of the MBSE community. MBSE practitioners usually value the identification of a common vocabulary in order to help stakeholders from different domains to collaborate [16]. This way of thinking takes a concrete form in tools and standards that emphasize a central repository of knowledge using a single vocabulary for all considered domains [17].…”

Section: Related Workmentioning

confidence: 99%

Towards Semantic-Aware Collaborations in Systems Engineering

Wouters

Creff

Bella

et al. 2017

2017 24th Asia-Pacific Software Engineering Conference (APSEC)

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The design of nowadays complex systems requires a collaboration between a diversity of stakeholders: from domain experts to customers. For a collaboration to be efficient, the relevant information have to reach the right stakeholder at the right time in a format that is understandable to him/her. We propose a formal framework to integrate the meaning projected by stakeholders onto their data (the denotation), so that it can be unambiguously used by others. An implementation of this framework, relying on the existing language xOWL (extension of OWL2 with behavioral constructs), is then provided to perform the semantic integration of the captured denotations in an MBSE approach.

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“…Zhang et al 10 proposed a new ontology-based semantic representation model for design rational information. Schmit et al 18 introduced an ontological approach for design space refinement in conceptual design for model-based systems engineering. Juan et al 19 defined ontology to capitalize knowledge about case-based reasoning (CBR) processes for systems design.…”

Section: Introductionmentioning

confidence: 99%

A semantic model for axiomatic systems design

Wang

Zhang

Chengtong

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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Design of large-scale engineering systems such as an automobile, satellite, or airplane is a process to satisfy requirements by making various decisions. Design axioms provide system designers with a theoretical background to make right decisions. However, the axiomatic systems design is still hard to be implemented in the real word due to its informal representation for both the human and machine, and few researches focus on formalizing concepts of this process. In order to define axiomatic systems design models to be both user-understandable and machine-readable, this paper combines axiomatic design process with the Semantic Web technology and proposes an axiomatic design semantic representation model, called axiomatic design ontology, which organizes customers’ requirements, functional requirements, design parameters, and design solutions. The class of concepts elements and their semantic relationships are defined by the Web Ontology Language (OWL2). Rules for identifying functional couplings (the Independence Axiom) and selecting the optimal design solution (the Information Axiom) are formally represented and encoded with the Semantic Web Rule Language, which enhances the reasoning capability of the axiomatic design ontology. A framework for capturing systems design semantic information based on the axiomatic design ontology, and aligning it with domain-specific ontologies according to the semantic mapping approach has been developed, by which elaborated design information is captured and shared. Finally, a case study of systems design of a satellite solar wing subsystem is given to demonstrate the proposed axiomatic design ontology-based systems design approach.

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Semantic design space refinement for model-based systems engineering

Cited by 13 publications

References 6 publications

An Ontological Approach to System of Systems Engineering in Product Development

An Ontological Approach to System of Systems Engineering in Product Development

Towards Semantic-Aware Collaborations in Systems Engineering

A semantic model for axiomatic systems design

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