Research on Semantic Business Platform for Electric Power System

Sheng Jia-gen, Liu Sifeng
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引用次数: 0

Abstract

For electric power business decision, the open Web is an important resource of knowledge. Unfortunately, traditional methods of knowledge acquiring, representing and organizing can not satisfy the requirements of semantic to support intelligent decision. Arming to these, a semantic platform oriented business intelligence named SP4BI is proposed by this paper, then two key technologies, model of Web knowledge representation and automatic algorithm of ontology acquiring, are illustrated. Knowledge on the Web are time-related and context-related, these properties are all be considered in representation model of Web knowledge. Meanwhile, the experiments of automatic acquiring electric power ontology show the validity of extracting properties and relations of concepts. Compared with existing methods, SP4BI platform provides a semantic supporting, and is a fundamental of machine reading and automatic reasoning.
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电力系统语义业务平台研究
对于电力企业决策来说,开放的Web是一个重要的知识资源。传统的知识获取、表示和组织方法已不能满足语义支持智能决策的要求。为此,本文提出了面向语义的商业智能平台SP4BI,并对其关键技术——Web知识表示模型和本体自动获取算法进行了阐述。Web上的知识具有时间相关性和上下文相关性,这些特性在Web知识的表示模型中都要加以考虑。同时,电力本体自动获取的实验也证明了概念属性和概念关系提取的有效性。与现有方法相比,SP4BI平台提供了语义支持,是实现机器阅读和自动推理的基础。
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