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针对广义数据自动获取问题,研究了可用于智能化处理的广义数据管理模型。广义数据类型多样、结构复杂,管理模型通过建立不同广义数据间的内在联系达到将其纳入管理的目的,而对广义数据的存储、解析和利用则交由相应的应用系统负责。广义数据间的联系复杂多样,现有的电网知识模型不能满足对其建模、应用的要求。因此,以本体和语义网技术为基础,研究了该模型的逻辑基点、结构和各级构件,并讨论了其建模和应用方式,最后通过一个案例说明了该模型的使用效果。研究表明,该模型可用于电网多类型异构数据资源的管理和获取,并具备良好的可扩展性。
In order to automatically acquire generalized data,a kind of generalized data management model used for intelligent processing is studied.Confronted with the multiple types and complex structure of generalized data,the management model achieves its purpose by establishing the internal relations between different generalized data,while the storage,analysis and use of generalized data are handed over to the corresponding application systems.As the relationship between the generalized data is complex and varied,the existing power grid knowledge modeling methods are incapable of meeting its requirements.Based on the ontology theory and semantic web technology,the logical basis of the model structure and various components,and the ways of modeling and application are discussed.The effect of using the model is shown through a case study to be applicable to many kinds of heterogeneous power grid data resource management and retrieval and easily expanded.
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