The basic structural join is a core operation in XML query processing.
基本的结构连接是XML数据库查询处理的一个核心操作。
Efficient structural join is the key operation in XML query processing.
有效的结构连接是XML查询处理的关键。
An XML query processing prototype system is also designed and realized in this paper.
最后本文设计并实现了一个XML查询处理原型系统。
As the core operation in XML query processing, structural joining consumes a great deal of time.
在XML数据查询中，结构连接操作占用了大量时间。
Structural join is the core operation in XML query processing, and catches the research community's attention.
结构连接是XML查询处理的核心操作，受到了研究界的关注。
With rapid growth of XML data, the storage of useless XML data increases the space cost in XML query processing.
在查询处理过程中，随着XML数据量大幅度地增长，XML中无用数据存储增加了XML查询处理的空间开销。
In XML database, twig pattern matching is the core of XML query processing and is important for improving the query efficiency.
在XML数据库中，小枝模式查询是XML查询处理的核心操作，它对于提高查询效率是很有意义的。
As the core operation of XML query processing, the efficient implementation of structural join is the key to improve XML query processing.
作为XML查询处理的核心操作，结构连接操作的高效实现是提高查询处理效率的关键。
Structural join is the core operation in XML query processing, there have been a number of algorithms proposed for structural join, but all of them could not support query of multiple versions XML.
结构化连接是XML查询处理的核心操作，目前已经提出了许多结构化连接的算法，但都不支持多版本的XML文档。
Labeling scheme is the basis for Extensible Markup Language (XML) query processing. The traditional labeling schemes use Numbers based on natural order, which is hard to support XML updating.
编码技术是可扩展标记语言(XML)查询处理的基础，传统编码技术利用自然数进行编码，很难支持XML动态更新。
Labeling scheme is the basis for Extensible Markup Language (XML) query processing. The traditional labeling schemes use Numbers based on natural order, which is hard to support XML updating.
编码技术是可扩展标记语言(XML)查询处理的基础，传统编码技术利用自然数进行编码，很难支持XML动态更新。
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