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Research on Semantic Integration across Heterogeneous Data Sources in Grid

机译:网格中跨异构数据源的语义集成研究

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Grid technology is a kind of important network information technology grows up in recent years, which can settle the problems of fully sharing and interactive applying among different kinds of resources (such as computing resources, storage resources etc.) distributing in the wide area. This paper focuses on the difficulties of semantic integration across heterogeneous data source in grid. For the existing automatic/semi-automatic schema matching algorithm, it analyzes the advantages and disadvantages and presents a generic schema matching model that full use of the schema and instance information in the schema.
机译:网格技术是近年来兴起的一种重要的网络信息技术,它可以解决广泛分布在各种资源(例如计算资源,存储资源等)之间的完全共享和交互应用的问题。本文重点讨论跨网格异构数据源进行语义集成的困难。针对现有的自动/半自动模式匹配算法,分析了优缺点,提出了一种通用的模式匹配模型,该模型充分利用了模式和模式中的实例信息。

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