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Indexing Technique for XML Documents

机译:XML文档的索引技术

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XML is flexible exchange format that has gained popularity for representing many classes of data, including structured documents, heterogeneous and semi-structured records, data from scientific simulations, digitized images, among others. As a result, querying XML documents has received much attention. XML documents are typically queried with a combination of value search and structure search. While querying by values can leverage traditional database technologies, evaluating structural relationship, specifically parent-child or ancestor-descendant relationship, between XML element sets has imposed a great challenge on efficient XML query processing. Many index-based approaches have been proposed for storing and efficient XML queries. This paper describe famous sort of storing tree , B~+ - tree, XR-tree, and XB-tree and analyzes how well they support XML query.
机译:XML是灵活的交换格式,它具有代表许多类数据的流行度,包括结构化文件,异构和半结构化记录,来自科学模拟的数据,数字化图像等。因此,查询XML文档已受到很多关注。通常使用价值搜索和结构搜索的组合查询XML文档。在按值查询的同时可以利用传统的数据库技术,在XML元素集之间评估结构关系,特别是父母或祖先 - 后代关系,对XML元素集之间对有效的XML查询处理产生了巨大的挑战。已经提出了许多基于索引的方法来存储和有效的XML查询。本文描述了着名的存储树,B〜+ - 树,XR树和XB树,并分析了它们支持XML查询的程度。

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