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Graph Indexing for Efficient Evaluation of Label-constrained Reachability Queries

机译:图表索引,以便有效地评估标签约束可达性查询

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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.
机译:给定针向边缘标记图G,检查顶点V是否可从标签集的顶点u到达,知道是否存在来自跨越路径的边缘标签的u到v的路径是S.这样的查询的子集被称为标签约束可达性(LCR)查询。在本文中,我们提出了一种新的方法,以以跨越树(森林)的间隔形式存储压缩的传递性传递闭合。基本思想是将每个顶点v与两个其他顶点的两个序列相关联:使用间隔使用v从v检查到任何其他顶点,而另一个用于检查任何其他顶点的V到V的可达性。我们将表明,这种序列一般比G的顶点数量短得更短。已经进行了广泛的实验,这表明我们的方法比在所有重要方面都比这个问题的所有先前方法都好得多,包括指数施工次数,索引大小和查询时间。

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