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Temporal queries in XML document archives and web warehouses

机译:XML文档档案库和Web仓库中的时间查询

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By storing the successive versions of a document in an incremental fashion, XML repositories and data warehouses achieve: (i) the efficient preservation of critical information; and (ii) the ability of supporting historical queries on the evolution of documents and their contents. In this paper, we present efficient techniques for managing multi-version document histories and supporting powerful temporal queries on such documents. Our approach consists in: (i) concisely representing the successive versions of a document as an XML document that implements a temporally grouped data model; and (ii) using XML query languages, such as XQuery, to express complex queries on the content of a particular version, and on the temporal evolution of the document elements and their contents. We show that the data definition & manipulation framework of XML & XQuery can support temporal models and historical queries significantly better than the traditional framework of Relational Tables & SQL. To demonstrate this point, we investigate how to express complex queries on the history of relational tables published as XML data.
机译:通过以增量方式存储文档的后续版本,XML存储库和数据仓库可实现:(i)有效保存关键信息; (ii)支持对文件及其内容的演变进行历史查询的能力。在本文中,我们提出了有效的技术来管理多版本文档的历史记录,并支持对此类文档进行强大的时态查询。我们的方法包括:(i)将文档的后续版本简洁地表示为实现时间分组数据模型的XML文档; (ii)使用XML查询语言(例如XQuery)来表达对特定版本的内容以及文档元素及其内容随时间变化的复杂查询。我们证明,与传统的关系表和SQL框架相比,XML&XQuery的数据定义和操作框架可以更好地支持时间模型和历史查询。为了证明这一点,我们研究了如何对发布为XML数据的关系表的历史记录表达复杂的查询。

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