Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan
碩士 === 國立臺灣科技大學 === 工業管理系 === 99 === Risk Management (RM) is one of the most important processes in the project, which reduces the impacts of the negative risks, costs, influences and other problems. However, RM is a complicated knowledge that problem is how to identify, assess, and response the ris...
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ndltd-TW-099NTUS50410922019-05-15T20:42:06Z http://ndltd.ncl.edu.tw/handle/te5s4r Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan 發展一流程導向本體論支援風險管理-以工廠佈置為例 Yan-fang Chen 陳弇方 碩士 國立臺灣科技大學 工業管理系 99 Risk Management (RM) is one of the most important processes in the project, which reduces the impacts of the negative risks, costs, influences and other problems. However, RM is a complicated knowledge that problem is how to identify, assess, and response the risks effectively. The research proposes a process-oriented ontology to solve those issues. This study develops a “Process-Oriented Ontology”, composed by EPC (Event-driven process chain), ontology and description logic (DL) to define and express process knowledge. Furthermore, the domain Ontology implements by Protege. For achieving the main purpose of RM, we apply Semantic Web Rule Language (SWRL) to build rule-based reasoning to rectify the shortcoming of ontology in describing rules. In order to achieve knowledge sharing and reusing on domain Ontology, it derives from the process knowledge with SWRL. In addition, every project has different risk weights of the assessment by its exclusive character. Therefore, we design a user interface on risk management system for reading the domain ontology and rule base that provides the optimal numerical calculation and the required process knowledge of risk management. Ou-Yang Chao 歐陽超 2011 學位論文 ; thesis 90 zh-TW |
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碩士 === 國立臺灣科技大學 === 工業管理系 === 99 === Risk Management (RM) is one of the most important processes in the project, which reduces the impacts of the negative risks, costs, influences and other problems. However, RM is a complicated knowledge that problem is how to identify, assess, and response the risks effectively. The research proposes a process-oriented ontology to solve those issues.
This study develops a “Process-Oriented Ontology”, composed by EPC (Event-driven process chain), ontology and description logic (DL) to define and express process knowledge. Furthermore, the domain Ontology implements by Protege. For achieving the main purpose of RM, we apply Semantic Web Rule Language (SWRL) to build rule-based reasoning to rectify the shortcoming of ontology in describing rules. In order to achieve knowledge sharing and reusing on domain Ontology, it derives from the process knowledge with SWRL.
In addition, every project has different risk weights of the assessment by its exclusive character. Therefore, we design a user interface on risk management system for reading the domain ontology and rule base that provides the optimal numerical calculation and the required process knowledge of risk management.
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author2 |
Ou-Yang Chao |
author_facet |
Ou-Yang Chao Yan-fang Chen 陳弇方 |
author |
Yan-fang Chen 陳弇方 |
spellingShingle |
Yan-fang Chen 陳弇方 Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan |
author_sort |
Yan-fang Chen |
title |
Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan |
title_short |
Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan |
title_full |
Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan |
title_fullStr |
Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan |
title_full_unstemmed |
Developing a Process-Oriented Ontology to Support the Risk Management -An Example of Plot Plan |
title_sort |
developing a process-oriented ontology to support the risk management -an example of plot plan |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/te5s4r |
work_keys_str_mv |
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