As join operation to relational database, structural join order selection is at the heart of query optimization in an XML database.
和关系数据库中的连接运算一样，结构连接顺序的选择是XML数据库查询优化的核心。
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。
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。
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。
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。
The algorithm uses Simple API for XML(SAX) parser and structural join, matches and outputs all following-sibling nodes of the given nodes.
采用SAX解析器与结构连接方法，对XML文档中所有已知节点与后兄弟节点进行精确匹配并输出。
Queries of XML documents include two categories, one is the value queries, the other is structural join queries.
XML文档的查询包括两类查询，一类是值的查询，一类是结构的查询。
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。
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。
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