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Hash-based Subgraph Query Processing Method for Graph-structured XML Documents

机译:基于哈希的图结构化XML文档子图查询处理方法

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When XML documents are modeled as graphs, many research issues arise. In particular, there are many new challenges in query processing on graph-structured XML documents because traditional query processing techniques for tree-structured XML documents cannot be directly applied. This paper studies the problem of structural queries on graph-structured XML documents. A hash-based structural join algorithm, HGJoin, is first proposed to handle reachability queries on graph-structured XML documents. Then, it is extended to the algorithms to process structural queries in form of bipartite graphs. Finally, based on these algorithms, a strategy to process subgraph queries in form of general DAGs is proposed. Analysis and experiments show that all the algorithms have high performance. It is notable that all the algorithms above can be slightly modified to process structural queries in form of general graphs.
机译:当将XML文档建模为图形时,会出现许多研究问题。特别是,在图结构化XML文档的查询处理中存在许多新的挑战,因为无法直接应用针对树状结构XML文档的传统查询处理技术。本文研究了基于图结构的XML文档的结构查询问题。首先提出了一种基于哈希的结构连接算法HGJoin,以处理图结构化XML文档的可及性查询。然后,将其扩展到算法,以二部图的形式处理结构查询。最后,基于这些算法,提出了一种以通用DAG形式处理子图查询的策略。分析和实验表明,所有算法均具有较高的性能。值得注意的是,可以对上述所有算法进行略微修改,以处理一般图形形式的结构查询。

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