图结构XML数据上的小枝查询处理

Zografoula Vagena, Mirella M. Moro, V. Tsotras
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引用次数: 36

摘要

XML和半结构化数据通常使用图结构建模。为了加速XML查询处理而提出的结构摘要也具有图形形式。现有的评估树结构数据(即底层结构为树的数据)查询的方法不能直接适用于将数据建模为随机图的情况。此外,当采用结构摘要时,它们不能应用,据我们所知,这种情况下也没有类似的技术报道。因此,结构摘要的潜力没有得到充分利用。本文研究了适用于图结构数据的查询评估技术。我们针对有向无环图的情况提出了有效的算法,这种情况出现在许多现实世界的情况中。然后我们调整我们的方法来处理其他有向图。我们的实验评估揭示了我们的解决方案比现有的图结构数据方法的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Twig query processing over graph-structured XML data
XML and semi-structured data is usually modeled using graph structures. Structural summaries, which have been proposed to speedup XML query processing have graph forms as well. The existent approaches for evaluating queries over tree structured data (i.e. data whose underlying structure is a tree) are not directly applicable when the data is modeled as a random graph. Moreover, they cannot be applied when structural summaries are employed and, to the best of our knowledge, no analogous techniques have been reported for this case either. As a result, the potential of structural summaries is not fully exploited.In this paper, we investigate query evaluation techniques applicable to graph-structured data. We propose efficient algorithms for the case of directed acyclic graphs, which appear in many real world situations. We then tailor our approaches to handle other directed graphs as well. Our experimental evaluation reveals the advantages of our solutions over existing methods for graph-structured data.
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