Abstract
Why do humans develop systems? The answer is clear: to realize system capabilities by utilizing these systems. Unless a system realizes the intended capability, it is useless, even if the system itself is perfect. Every system needs something to be realized. The problem is that we do not know how to deal with unexpected problems that prevent the realization of the system capability. Of course, many studies have been conducted on how to develop robust, fault tolerant systems, but there is no existing research on how to determine the system’s resilience in relation to its capability. The system capability can be realized by developing a resilient system. In this study, we developed a system ontology especially for a weather observation system. This ontology can describe the entire system by applying DODAF 2.0 and an enabler relationship. It allows us to determine all of the system entities and relationships. In addition, the ontology shows the system’s resilience by considering the realization of the system capability. This ontology was applied to a weather observation system to verify its effectiveness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Su, S.-Y., Kessler, D.J.: Contribution of explosion and future collision fragments to the orbital debris environment. Adv. Space Res. 5(2), 25–34 (1985) (ISSN 0273-1177)
Department of defense, fact sheet: DoD strategy for deterrence in space
Strategic headquarters for space policy, government of Japan: basic plan on space policy. (2013)
Department of defense, fact sheet: resilience of space capabilities
Pawlikowski, E., Loverro, D., Cristler, T.: Space: disruptive challenges, new opportunities, and new strategies. Strateg. Stud. Quart. 6(1), 45 (2012)
Martin, J.N.: On the use of knowledge modeling tools and techniques to characterize the noaa observing system architecture. In: INCOSE Proceedings, INCOSE Symposium (2003)
van Ruijven, L.C.: Ontology for systems engineering as a base for MBSE. In: INCOSE IW (2015)
Holt, J., Perry, S.: SysML for Systems Engineering 2nd Edition: a Model-Based Approach. The Institution of Engineering and Technology (2013)
Fosse, E.: Model-based systems engineering (MBSE) 101. In: INCOSE (2014)
Department of defense: DOD architecture framework version 2.02
Handley, H.A.H.: Incorporating the NATO human view in the DODAF 2.0 meta model
Shirasaka, S.: Architecture framework development process using meta-thinking and enabler. Keio University (2011)
ISO/IEC standard for systems engineering-application and management of the systems engineering process. ISO/IEC 26702 IEEE Std 1220-2005 first edition
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Onozuka, Y., Ioki, M., Shirasaka, S. (2016). Ontology for Weather Observation System. In: Cardin, MA., Fong, S., Krob, D., Lui, P., Tan, Y. (eds) Complex Systems Design & Management Asia. Advances in Intelligent Systems and Computing, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-319-29643-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-29643-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29642-5
Online ISBN: 978-3-319-29643-2
eBook Packages: EngineeringEngineering (R0)