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Research of Knowledge Base System Based on Ontology for Drilling Accident Emergency Decision

机译:基于本体论钻探事故应急决策的知识库系统研究

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Aiming to the knowledge representation and management existing issues of drilling accident emergency decision in current oil industry, using ontology technology, this paper designs a knowledge base system based on ontology for drilling accident emergency decision, establishes an ontology knowledge representation model, and constructs the emergency ontology knowledge base and case base. Consequently, it makes the emergency domain knowledge standardization and semantization, so convenient for knowledge sharing and reuse. And on that basis, the rules which drilling accident emergency decision needs are established by using the SWRL rule language, implementing the ontology-based rule knowledge reasoning through the Jena reasoning machine. This can provide auxiliary schemes for rescuing emergency accidents. This system researched provides good methods and technology for the knowledge effective management and applying of drilling accident emergency decision.
机译:旨在旨在了解当前石油工业中钻探事故应急决策问题的知识代表和管理现有问题,使用本体技术,本文设计了一种基于本体论钻探事故应急决定的知识库系统,建立了本体知识表示模型,构建紧急情况 本体知识库和案例基础。 因此,它使紧急域知识标准化和语义化,这么方便知识共享和重用。 在此基础上,通过使用SWRL规则语言建立了钻探事故应急判决需要的规则,通过捷雅推理机实现基于本体的规则知识推理。 这可以为救援紧急事故提供辅助方案。 该系统研究为知识有效的管理和应用钻井事故应急决定提供了良好的方法和技术。

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