Reducing uncertainties in data & information - an ontological approach to support satellite development projects
Titel Konferenzpublikation:
Proceedings of the Design Society
Untertitel Konferenzpublikation:
Volume 5: ICED25
Veranstalter (Körperschaft):
University of Texas at Dallas
Konferenztitel:
International Conference in Engineering Design (25., 2025, Dallas, Tex.)
Tagungsort:
Dallas, Tex., USA
Jahr der Konferenz:
2025
Datum Beginn der Konferenz:
11.08.2025
Datum Ende der Konferenz:
14.08.2025
Verlagsort:
Cambridge
Verlag:
Cambridge University Press
Jahr:
2025
Seitenbereich:
2711-2720
Sprache:
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...
»