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On Incremental Maintenance of 2-hop Labeling of Graphs

机译:图的两跳标注的增量维护

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摘要

Recent interests on XML, SemanticWeb, andWeb ontology, among other topics, have sparked a renewed interest on graph-structured databases. A fundamental query on graphs is the reachability test of nodes. Recently, 2-hop labeling has been proposed to index large collections of XML and/or graphs for efficient reachability tests. However, there has been few work on updates of 2-hop labeling. This is compounded by the fact thatWeb data changes over time. In response to these, this paper studies the incremental maintenance of 2-hop labeling. We identify the main reason for the inefficiency of updates of existing 2-hop labels. We propose two updatable 2-hop labelings, hybrids of 2-hop labeling, and their incremental maintenance algorithms. The proposed 2-hop labeling is derived from graph connectivities, as opposed to SET COVER which is used by all previous work. Our experimental evaluation illustrates the space efficiency and update performance of various kinds of 2-hop labeling. The main conclusion is that there is a natural way to spare some index size for update performance in 2-hop labeling.
机译:最近对XML,SemanticWeb和Web本体的兴趣引起了人们对图结构数据库的新兴趣。对图的基本查询是节点的可达性测试。最近,已经提出了2跳标记来索引XML和/或图的大集合,以进行有效的可达性测试。但是,关于2跳标签更新的工作很少。 Web数据随时间变化的事实使情况更加复杂。针对这些问题,本文研究了2跳标签的增量维护。我们确定了现有2跳标签更新效率低下的主要原因。我们提出了两个可更新的2跳标记,2跳标记的混合以及它们的增量维护算法。所提出的2跳标记是从图的连通性得出的,与之前所有工作中使用的SET COVER相反。我们的实验评估说明了各种2跳标签的空间效率和更新性能。主要结论是,存在一种自然的方法来保留一些索引大小,以提高2跳标记的更新性能。

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