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Efficient Processing of Multiple Structural Join Queries

机译:高效处理多个结构连接查询

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摘要

XML is widely used for representing and exchanging hierarchical data and queries naturally specify hierarchical patterns to select relevant parts of an XML document. These patterns have a sequence of selection predicates connected by operators representing parent-child or ancestor-descendant relationships. In this context, the operation of structural join involves discovering pairs of nodes that are in ancestor-descendant relationship from the cross product of two sets of nodes. In this paper, we propose a novel way of solving queries with multiple structural joins by maintaining an extra piece of information for each element called nDe.sc, which specifies the number of descendants having same tag name as that of the element. An extensive experimental evaluation of our algorithms with datasets of varying nDesc value shows that our algorithms perform better than the currently existing join algorithms.
机译:XML被广泛用于表示和交换分层数据,查询自然指定分层模式以选择XML文档的相关部分。这些模式具有一系列选择谓词,这些谓词由表示父子关系或祖先后代关系的运算符连接。在这种情况下,结构连接的操作涉及从两组节点的叉积中发现具有祖先后代关系的节点对。在本文中,我们提出了一种新颖的方法,通过为每个称为nDe.sc的元素保留一条额外的信息来解决具有多个结构化联接的查询,该信息指定了与该元素具有相同标签名称的后代数量。使用变化nDesc值的数据集对我们的算法进行的广泛实验评估表明,我们的算法的性能优于当前现有的联接算法。

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