首页> 外文会议>International XML Database Symposium(XSym 2005) >The BIRD Numbering Scheme for XML and Tree Databases — Deciding and Reconstructing Tree Relations Using Efficient Arithmetic Operations
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The BIRD Numbering Scheme for XML and Tree Databases — Deciding and Reconstructing Tree Relations Using Efficient Arithmetic Operations

机译:XML和树数据库的鸟编号方案 - 使用高效算术运算决定和重建树关系

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This paper introduces the BIRD family of numbering schemes for tree databases, which is based on a structural summary such as the DataGuide. Given the BIRD IDs of two database nodes and the corresponding nodes in the structural summary we decide the extended XPath relations Child, Child~+, Child~*, Following, NextSibling, NextSibling~+, NextSibling~* for the nodes without access to the database. Similarly we can reconstruct the parent node and neighbouring siblings of a given node. All decision and reconstruction steps are based on simple arithmetic operations. The BIRD scheme offers high expressivity and efficiency paired with modest storage demands. Compared to other identification schemes with similar expressivity, BIRD performs best in terms of both storage consumption and execution time, with experiments underlining the crucial role of ID reconstruction in query evaluation. A very attractive feature of the BIRD scheme is that all extended XPath relations can be decided and reconstructed in constant time, i.e., independent of tree position and distance of the nodes involved. All results are shown to scale up to the multi-Gigabyte level.
机译:本文介绍了树数据库的编号方案的鸟系列,基于诸如DATAGUIDE的结构摘要。鉴于两个数据库节点的鸟ID和结构摘要中的相应节点我们决定扩展XPath关系子,Child〜+,Child〜*,以下,下面,下一个,无需访问的节点的extwings〜*数据库。类似地,我们可以重建给定节点的父节点和邻居兄弟姐妹。所有决策和重建步骤都基于简单的算术运算。鸟类方案提供高度效力和效率,配对适度的存储需求。与具有相似性相似性的其他识别方案相比,鸟类在存储消耗和执行时间方面表现最佳,实验强调了ID重建在查询评估中的重要作用。鸟类方案的一个非常有吸引力的特征是,可以在恒定的时间内决定和重建所有扩展的XPath关系,即独立于树位置和所涉及的节点的距离。所有结果都显示为缩小到多千兆字节水平。

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