数据密集型应用中的异构数据集成服务研究

Research on Heterogeneous Data Integration Service in Data-intensive Application

从分布式异构数据集成和海量数据共享两方面对领域异构数据集成的关键技术进行研究,提出面向领域异构数据的语义集成方法,建立针对各种异构数据的嵌套对象模型,通过虚拟视图和Mashup服务架构对数据及数据之间的关系进行描述、组织和展示,利用语义映射实现数据交互并保持数据同步,从而提供动态的数据集成服务。实例分析结果表明,基于该数据集成方法开发的油气井生产优化决策与诊断平台能实现多种专业数据集成及跨专业应用,为油气井生产动态监控、优化设计、诊断决策等提供技术支持。

This paper studies key technology of field heterogeneous data integration from the aspect of distributed heterogeneous data integration and mass data sharing, proposes a semantic integration method for field heterogeneous data,and builds Nested Object Model （NOM） for all kinds of heterogeneous data. Combining with virtual view and Mashup framework,integration method of heterogeneous data service are proposed to describe, organize and display for data and data relationship. It realizes data interaction and maintain data synchronization by using semantic mapping, provides dynamic data integration services. Example analysis result shows that oil and gas well production optimizing decision and diagnosis platform based on proposed data integration method can realize professional data integration and inter professional application, provide support for oil and gas well production dynamic monitoring and diagnosis decision.