Graph Indexing for Efficient Evaluation of Label-constrained Reachability Queries

Yangjun Chen, Gagandeep Singh
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引用次数: 8

Abstract

Given a directed edge labeled graph G, to check whether vertex v is reachable from vertex u under a label set S is to know if there is a path from u to v whose edge labels across the path are a subset of S. Such a query is referred to as a label-constrained reachability (LCR) query. In this article, we present a new approach to store a compressed transitive closure of G in the form of intervals over spanning trees (forests). The basic idea is to associate each vertex v with two sequences of some other vertices: one is used to check reachability from v to any other vertex, by using intervals, while the other is used to check reachability to v from any other vertex. We will show that such sequences are in general much shorter than the number of vertices in G. Extensive experiments have been conducted, which demonstrates that our method is much better than all the previous methods for this problem in all the important aspects, including index construction times, index sizes, and query times.
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图索引用于标签约束可达性查询的有效评估
给定一个有向边标记图G,在标签集S下,检验顶点v与顶点u是否可达,就是知道是否存在从u到v的路径,该路径上的边标记是S的子集。这种查询称为标签约束可达性(label-constrained reachability, LCR)查询。在本文中,我们提出了一种新的方法,以生成树(森林)上的区间形式存储G的压缩传递闭包。基本思想是将每个顶点v与其他顶点的两个序列相关联:一个用于通过间隔检查从v到任何其他顶点的可达性,而另一个用于检查从任何其他顶点到v的可达性。我们将证明,这样的序列通常比g中的顶点数短得多。大量的实验表明,我们的方法在所有重要方面都比以前的方法好得多,包括索引构建时间、索引大小和查询时间。
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