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。
In addition, DB2 can leverage new query and join operators, as well as new index processing techniques, to provide strong runtime performance for queries involving XML documents.
另外，DB 2可以利用新的查询和联结操作符以及新的索引处理技术，为涉及XML文档的查询提供更好的运行时性能。
Query optimization technology in DB2 9.7 provides increased efficiency for processing queries against relational views of XML data.
DB 2 9.7中的查询优化技术能够提高针对XML数据的关系视图的查询处理效率。
This article details a few specific examples that demonstrate what a difference query methods can make in even simple XML processing.
这篇文章详细介绍了一些特定的示例，用来演示在简单的XML处理中，查询方法能够造成多大的影响。
The XML is now ready for query processing.
XML现在已经就绪，可以进行查询处理了。
The unique identifiers returned by the query are needed by the plug-in itself for processing the different XML documents.
插件本身需要用查询返回的惟一标识符来处理XML文档。
This paper focuses on the query language of XML data, the technologies of path expression optimizing and the query processing of XML data.
本文主要对XML数据库的查询语言、XML数据路径表达式查询的优化技术和XML数据的查询处理技术进行了重点研究。
A large amount of memories are consumed during dense data querying. A query processing algorithm based on XML stream is designed.
针对密集型数据查询要消耗大量内存的缺陷，设计了一种基于流的XM L文档查询算法。
The current native XML storage schemes are mostly concerned with query processing and rarely involve the support of data update.
目前的原生XML存储方案大多关注于查询处理而很少涉及对数据更新的支持。
A native XML storage scheme is directly related to query processing and data update.
原生xml存储方案直接关系到查询处理和数据更新。
As more and more XML data emerges, query processing over XML data shows its increasing importance.
随着XML数据越来越多，针对XML数据的查询与处理引起了越来越多的关注。
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。
In temporal XML index areas, most of them generate a new version when updating temporal XML document and need to traverse different versions to complete query processing.
在时态XML索引领域，较多是在时态xml文档更新时产生一个新版本，需要遍历不同的版本才能完成查询处理，影响查询处理性能。
In temporal XML index areas, most of them generate a new version when updating temporal XML document and need to traverse different versions to complete query processing.
在时态XML索引领域，较多是在时态xml文档更新时产生一个新版本，需要遍历不同的版本才能完成查询处理，影响查询处理性能。
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