Ontology for weather observation system

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルComplex Systems Design and Management Asia - Smart Nations – Sustaining and Designing
ホスト出版物のサブタイトルProceedings of the 2nd Asia-Pacific Conference on Complex Systems Design and Management, CSD and M Asia 2016
編集者Pao Chuen Lui, Saik Hay Fong, Michel-Alexandre Cardin, Daniel Krob, Yang How Tan
出版社Springer Verlag
ページ95-105
ページ数11
ISBN(印刷版)9783319296425
DOI
出版ステータスPublished - 2016 1 1
イベント2nd International Asia-Pacific Conference on Complex System Design and Management, CSD and M Asia 2016 - Singapore, Singapore
継続期間: 2016 2 242016 2 26

出版物シリーズ

名前Advances in Intelligent Systems and Computing
426
ISSN(印刷版)2194-5357

Other

Other2nd International Asia-Pacific Conference on Complex System Design and Management, CSD and M Asia 2016
CountrySingapore
CitySingapore
Period16/2/2416/2/26

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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