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IMPLEMENTING SPATIAL DATA WAREHOUSE HIERARCHIES IN OBJECT-RELATIONAL DBMSs

机译:在对象 - 关系DBMS中实现空间数据仓库层次结构

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Spatial Data Warehouses (SDWs) allow to analyze historical data represented in a space supporting the decision-making process. SDW applications require a multidimensional view of data that includes dimensions with hierarchies and facts with associated measures. In particular, hierarchies are important since traversing them users can analyze detailed and aggregated measures. To better represent users' requirements for SDWs, the conceptual model with spatial support should be used. Afterwards, the conceptual schema is translated to the logical and physical schemas. However, during the translation process the semantics can be lost. In this paper, we present the translation of spatial hierarchies from the conceptual to physical schemas represented in the MultiDimER model and Oracle 10g Spatial, respectively. Further, to ensure the semantic equivalence between the conceptual and the physical schemas, integrity constraints are exemplified mainly using triggers.
机译:空间数据仓库(SDW)允许分析在支持决策过程的空间中表示的历史数据。 SDW应用程序需要多维数据视图,其中包括具有层次结构的尺寸和具有相关措施的事实。特别是,层次结构很重要,因为他们遍历他们可以分析详细和聚合的措施。为了更好地代表用户对SDW的要求,应该使用具有空间支持的概念模型。之后,概念模式被转换为逻辑和物理模式。但是,在翻译过程中,语义可能会丢失。在本文中,我们分别介绍了分别从概念到多数模型和Oracle 10g空间中表示的物理模式的空间层次结构的翻译。此外,为了确保概念和物理模式之间的语义等效,完整约束主要是主要使用触发器的例子。

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