Reducing uncertainties in data & information - an ontological approach to support satellite development projects
Title of conference publication:
Proceedings of the Design Society
Subtitle of conference publication:
Volume 5: ICED25
Organizer (entity):
University of Texas at Dallas
Conference title:
International Conference in Engineering Design (25., 2025, Dallas, Tex.)
Venue:
Dallas, Tex., USA
Year of conference:
2025
Date of conference beginning:
11.08.2025
Date of conference ending:
14.08.2025
Place of publication:
Cambridge
Publisher:
Cambridge University Press
Year:
2025
Pages from - to:
2711-2720
Language:
Englisch
Abstract:
The evolving needs of customers and stakeholders necessitate the collaboration of diverse system elements within a cyber-physical, socio-technical network. Such Sociotechnical systems are characterized by numerous complex interdependencies as well as by endogenous and exogenous influences. A key issue that developers must address is the mitigation of data and information uncertainties. This paper introduces an ontological approach to facilitate the identification and mitigation of uncertainties in data and information within a model-based methodology for satellite development projects. The work outlines the results of preliminary studies forming the foundation for this ontological concept. The proposed approach comprises an overarching General Ontology, complemented by a Uncertainty and Structure Ontology, creating a framework for uncertainty management in satellite development.
«
The evolving needs of customers and stakeholders necessitate the collaboration of diverse system elements within a cyber-physical, socio-technical network. Such Sociotechnical systems are characterized by numerous complex interdependencies as well as by endogenous and exogenous influences. A key issue that developers must address is the mitigation of data and information uncertainties. This paper introduces an ontological approach to facilitate the identification and mitigation of uncertainties...
»