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XML subtree reconstruction from relational storage of XML documents

机译:从XML文档的关系存储重构XML子树

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摘要

Numerous researchers have proposed to use relational databases to store and query XML documents. In these systems, the elements selected by an XML query are returned to an application either by select mode or by reconstruct mode. For the reconstruct mode, the XML subtrees that are rooted at the selected elements need to be extracted and reconstructed from the relational storage of XML documents. Therefore, XML subtree reconstruction is an important problem since its efficiency has a significant impact on XML query response time. In this paper, we propose (ⅰ) a linear XML subtree reconstruction algorithm Reconstruct to reconstruct an XML subtree from the structure-encoded sequence of the subtree that is extracted from the relational database by a structure-encoded sequence retrieval algorithm, (ⅱ) a generic efficient structure-encoded sequence retrieval algorithm RD-SB for a schema-based relational XML storage, and (ⅲ) a generic efficient structure-encoded sequence retrieval algorithm RD-SL for a schema-less relational XML storage. To the best of our knowledge, our algorithms provide the first generic solutions to the XML subtree reconstruction problem that are applicable to all relational XML storage schemes proposed in the literature. Finally, our experiments show that our algorithms are efficient and scalable.
机译:许多研究人员建议使用关系数据库来存储和查询XML文档。在这些系统中,通过XML查询选择的元素通过选择模式或通过重构模式返回给应用程序。对于重构模式,需要从XML文档的关系存储中提取并重构以选定元素为根的XML子树。因此,XML子树重构是一个重要的问题,因为其效率对XML查询响应时间有重大影响。在本文中,我们提出(ⅰ)线性XML子树重构算法Reconstruct,以通过结构编码序列检索算法从关系数据库中提取的子树的结构编码序列重构XML子树,(ⅱ)a用于基于模式的关系XML存储的通用有效结构编码的序列检索算法RD-SB,以及用于无模式的关系XML存储的通用有效结构编码的序列检索算法RD-SL。据我们所知,我们的算法为XML子树重构问题提供了第一个通用解决方案,适用于文献中提出的所有关系XML存储方案。最后,我们的实验表明我们的算法高效且可扩展。

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