TY - GEN
T1 - Ontology for weather observation system
AU - Onozuka, Yuki
AU - Ioki, Makoto
AU - Shirasaka, Seiko
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84958069202&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958069202&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-29643-2_7
DO - 10.1007/978-3-319-29643-2_7
M3 - Conference contribution
AN - SCOPUS:84958069202
SN - 9783319296425
T3 - Advances in Intelligent Systems and Computing
SP - 95
EP - 105
BT - Complex Systems Design and Management Asia - Smart Nations – Sustaining and Designing
A2 - Lui, Pao Chuen
A2 - Fong, Saik Hay
A2 - Cardin, Michel-Alexandre
A2 - Krob, Daniel
A2 - Tan, Yang How
PB - Springer Verlag
T2 - 2nd International Asia-Pacific Conference on Complex System Design and Management, CSD and M Asia 2016
Y2 - 24 February 2016 through 26 February 2016
ER -