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Schema Adaptation Under Multi-relation Dependencies

机译:多关系依赖项下的模式适应

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In information grid, data sources not only change their data, but also change their schema. On schema changing, the mapping may be left inconsistency. Thus, it is an essential issue to detect and update the inconsistency. We present a novel approach for adapting mappings as schema evolves. We propose a new kind of dependencies, called multi-relation dependencies. Multi-relation dependencies specify the dependent relationship between attributes across relations under a join condition. By the soundness and completeness of reasoning rules of multi-relation dependencies, our approach detects the minimal part of mapping which are inconsistent. And the algorithm adapts mappings on both local schema and global schema changing. Most current approaches do not distinguish the removal of key attributes from non-key attributes. Our study shows that removal of these two kinds of attributes results in different adaptations.
机译:在信息网格中,数据源不仅更改其数据,而且更改其架构。在更改架构时,映射可能会不一致。因此,检测和更新不一致是一个基本问题。我们提出了一种随着方案发展而适应映射的新颖方法。我们提出了一种新的依赖关系,称为多重关系依赖关系。多重关系依赖关系指定联接条件下跨关系的属性之间的依赖关系。通过多关系依赖关系推理规则的健全性和完整性,我们的方法可以检测出不一致的最小映射部分。并且该算法适应本地模式和全局模式更改的映射。当前大多数方法都没有区分从非关键属性中删除关键属性。我们的研究表明,删除这两种属性会导致不同的适应。

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