Research in Knowledge Representation and Inference Rule for Disaster Recovery Plan

• Main Authors: Jeng-Hung Wang, 王仁宏
• Other Authors: None
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/39597927228346180060

碩士 === 國立中央大學 === 資訊管理學系碩士在職專班 === 91 === Businesses rely on the information more deeply day by day. If information system service interrupts due to disasters, it will make business operation loss. So, disaster recovery plan has become the critical issue that businesses must face. But how to plan DRP has been related to experiences and case study about it. Because there are many issues that must be considered, DRP is more complex than database plan. In previous stage, DRP was planned according to expert’s knowledge and experiences. It will be easy to make the plan’s quality inconsistent and experiences will not be transferred and retained. To resolve the problem, we will compare the difference between System Development Life Cycle and DRP. We will propose a rule and case knowledge representation for DRP, and then develop a hybrid rule and case’s DRP inference protype system with both advantages. At last, we use two practical experts’ cases to validate our DRP knowledge and inference method. The result shows the research system can provide the similar expert’s solution according to the user’s requirement. Key Words：Disaster Recovery Plan(DRP)、Case Based Knowledge、Rule Based Knowledge、Rule Based Reasoning(RBR)、Case Based Reasoning(CBR)。