• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.513-522
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• 2001

Active database execute an action of active rule defined in advance which is triggered automatically, whenever an event with the matching event specifications occurs, its condition is evaluated. Because these rules may in turn trigger other rules, the set of rules may be triggered each other indefinitely, Therefore, we propose a termination analysis method to guarantee termination. This proposed method considers composite event as well as rule execution time. Above all, the method not only uses deactivation graph combined to trigger graph for exact analysis, but also improves the complexity of analysis. Also the proposed method enhances accuracy of analysis result.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.823-834
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• 2001

In the active databases, whenever an event occurs, active rules with the matching event specifications are triggered automatically, its action will be executed. Because these rules may in turn trigger other rules including themselves, the set of rules may be executing each other indefinitely. These problem can be solved by rule termination analysis, and it is efficient for the rule termination to execute in compile time of rule. In this paper we not only design rule compiler with rule termination analyzer, but also propose its execution model and algorithm. The completeness of proposed model is verified by algorithm formalization of rule termination analysis.

• The Transactions of the Korea Information Processing Society
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• v.6 no.9
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• pp.2281-2293
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• 1999

Many applications such as nuclear power plant monitoring, plant process control, stock market management, and network data management require a database system supporting both temporal data model and active rule processing. There have been some efforts to extend the temporal functionalities of the active database system, but an active database system based on temporal database, especially the one applied to the real application is rare. In this paper, we proposed an active temporal rule model based on bi-temporal database. And a rule language following the proposed rule model was described with its execution semantics. Then, how to apply to the nuclear power plant monitoring system was given as the examples.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.58-60
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• 2001

능동 데이터베이스는 능동 규칙(rule)을 이용하여 DBMS 스스로 데이터베이스 상태변화에 대응하는 규칙을 수행한다. 이러한 능동 규칙은 서로 다른 규칙을 무환하게 트리거 할 수 있고 그로 인해 종료하지 못하고 무한한 순환적 동작을 반복할 가능성이 있다. 그러므로 규칙의 비종료를 방지하고 규칙 처리를 미리 예측하기 위한 목적으로 규칙의 종료에 관한 연구가 수행되고 있지만 규칙의 다양한 사건 형태에 따라 분석 결과가 달라질 수 있음에도 불구하고 일반적으로 사용되고 있는 복합사건의 규칙과 규칙 실행의 적용시점을 나타내는 before, after 규칙을 포함한 종료분석방법은 제시되고 있지 않다. 그러므로 이 논문에서는 규칙 종료의 정확한 분석을 위해 복합사건의 규칙과 before 또는 after 규칙을 고려한 종료분석 방법을 제시하고 이것을 기존의 트리거 그래프와 규칙간에 형성되는 비활성화 관계를 그래프로 표현하여 결합한 그래프에 적용하는 규칙종료 분석 방법을 제시한다.