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PathGuide: an efficient clustering based indexing method for XML path expressions

机译:pathguide:基于XML路径表达式的基于有效的群集索引方法

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This paper focuses on the performance improvement for long-path XML query processing. It is motivated by the fact that the existing inverted index and join algorithms are efficient for short path XML queries, but are inefficient for long path XML queries since the response time of the existing approaches is exponential to the length of paths. We propose a clustering based indexing method, called PathGuide, in this paper; which enhances the XML inverted index with the clustering technique. The element nodes are clustered based on their path patterns and the summary for such path information is kept in a suffix tree as the index of these element nodes. In addition, new operations are proposed to fully utilize Path Guide. With the assistance of PathGuide, unlike the path expansion approach used in Lore, the set of a relative location path can be found via one-step index lookup. Compared to the existing structural join method, PathGuide significantly reduces both join overhead and disk I/O cost. The extensive experimental studies are conducted and our results show that PathGuide outperforms the structural joins at least four times in most cases.
机译:本文侧重于长路径XML查询处理的性能改进。这是由于现有的反相索引和加入算法对于短路径XML查询有效,但是对于长路径XML查询的效率低,因为现有方法的响应时间是指数到路径的长度。我们提出了一种基于聚类的索引方法,称为PathGuide,在本文中;通过聚类技术增强了XML反转索引。基于它们的路径模式群集元素节点,并且将这种路径信息的摘要保持在后缀树中作为这些元素节点的索引。此外,提出了新的操作以充分利用路径指南。在路径指导的帮助下,与LORE中使用的路径扩展方法不同,可以通过一步索引查找找到相对位置路径的集合。与现有的结构连接方法相比,PathGuide显着降低了连接开销和磁盘I / O成本。进行了广泛的实验研究,我们的结果表明,在大多数情况下,路径指导优于结构连接至少四次。

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