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Ontology and Multi-Agent based Intelligent Retrieval Model For Power Quality Monitoring Information

机译:基于本体的电能质量监控信息智能检索模型

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A power quality monitoring information intelligent retrieval model based on ontology and multi-Agent is proposed. Combining ontology technology with multi-Agent technology, establish a four layer alliance structure of the intelligent retrieval model. At first, the function of the model for each layer has been describled in detail. Then, the concretre building method of the power quality ontology knowledge base which is the core part of the model. has been explained. Finally, esxmple analysis show the whole intelligent retrieval process. Each layer of the model uses agent alliance mode, according with the demand of intelligent retrieval; Realizing the user's retrieval request with the aid of ontology knowledge base can not only improve retrieval efficiency, but also realize deep mining of the basic retrieval information. Example analysis shows that the model can realize intelligent retrieval quickly and efficiently and have certain practical value.
机译:提出了一种基于本体和多代理的智能检索智能检索模型。与多智能体技术结合本体技术,建立了智能检索模型的四层联盟结构。首先,详细描述了每个层的模型的功能。然后,电能质量本体知识库的具体构建方法是模型的核心部分。已经解释过。最后,ESXMPLE分析显示了整个智能检索过程。根据智能检索的需求,模型的每层都使用代理联盟模式;借助本体知识库实现用户的检索请求不仅可以提高检索效率,还可以实现基本检索信息的深度挖掘。示例性分析表明,该模型可以快速有效地实现智能检索并具有一定的实用价值。

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