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A hybird method for efficient indexing of XML documents

机译:一种用于高效索引XML文档的混合方法

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Indexing and retrieval of XML documents have been drawing attention increasingly since they enable to retrieve and access a certain part of a document easily. So far several methods have been proposed to index XML documents. There are two major categories of XML indexing methods, those coming from the database community, and those coming from the information retrieval (IR) community. They have limited to meet the characters of indexing XML documents. This paper aims at presenting a hybrid method of indexing XML documents. The new method integrates the merit of database community and of IR community on indexing XML documents. It can support exact query, approximate query and range query. It would be useful to engage all three types of common matching that is necessary in Information and data retrieval systems. In addition, the hybrid method is proved to be efficient by an instance.
机译:XML文档的索引和检索越来越介绍了它们,因为它们可以轻松检索和访问文档的某部分。到目前为止,已经提出了几种方法索引XML文档。有两种主要类别的XML索引方法,来自数据库社区的XML索引方法,以及来自信息检索(IR)社区的人。它们有限,以满足索引XML文档的字符。本文旨在呈现索引XML文档的混合方法。新方法将数据库社区和IR社区的优点集成在索引XML文档上。它可以支持精确的查询,近似查询和范围查询。将所有三种类型的常见匹配与信息和数据检索系统所必需的所有三种类型的匹配有用。此外,证明混合方法通过实例效率。

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