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HOPI: An Efficient Connection Index for Complex XML Document Collections

机译:HOPI:复杂XML文档集合的有效连接索引

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摘要

In this paper we present HOPI, a new connection index for XML documents based on the concept of the 2-hop cover of a directed graph introduced by Cohen et al. In contrast to most of the prior work on XML indexing we consider not only paths with child or parent relationships between the nodes, but also provide space- and time-efficient reachability tests along the ancestor, descendant, and link axes to support path expressions with wildcards in our XXL search engine. We improve the theoretical concept of a 2-hop cover by developing scalable methods for index creation on very large XML data collections with long paths and extensive cross-linkage. Our experiments show substantial savings in the query performance of the HOPI index over previously proposed index structures in combination with low space requirements.
机译:在本文中,我们介绍了HOPI,它是一种基于Cohen等人提出的有向图的2跳覆盖概念的XML文档的新连接索引。与大多数先前的XML索引工作相反,我们不仅考虑节点之间具有子级或父级关系的路径,而且还沿祖先轴,后代轴和链接轴提供了节省空间和时间的可达性测试,以支持路径表达式XXL搜索引擎中的通配符。通过开发可扩展的方法以在具有长路径和广泛的交叉链接的超大型XML数据集上创建索引,我们改进了2跳覆盖的理论概念。我们的实验表明,与以前提出的索引结构相比,HOPI索引的查询性能节省了很多空间,并且节省了空间。

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