可以使用XMLextender函数进行子文档查询。
Subdocument queries can be made using XML Extender functions.
这些方法扩展了XML文档查询范围，提高了文档的查全率和查准率。
They extend scope for searching XML documents, and improve recall and precision for searching XML documents.
实验证明该算法扩展了XML文档查询范围，提高了文档的查全率和查准率。
It extends scope for searching XML documents, and improves recall and precision for searching XML documents by experiments.
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。
A large amount of memories are consumed during dense data querying. A query processing algorithm based on XML stream is designed.
各行各业都在采用XML来描述本领域的信息，随着XML的普及，用户对XML文档查询的要求会越来越高。
With wide adoption and development of XML as a description language for document and information, users will have more requirements for performance of XML query.
查询多个文档的需要解释了设计XQuery的原因，这种正在开发之中的原生xml文档查询语言以XPath2为基础。
The need to query multiple documents explains the design of XQuery, the developing query language for native XML documents, which is in turn based on XPath 2.
即将形成的XML文档查询标准包括了下一代XML选择语言(XPath2)、xml序列化、全文检索和功能性XML数据建模。
What began as a standard for querying XML documents now includes the next-generation standards for XML selection (XPath 2), XML serialization, full-text search, and functional XML data modeling.
清单3中的XQuery演示了一个简单的XQuery表达式，用于返回从清单1中的XML文档查询到的自2002年至今的电影片名。
The XQuery in Listing 3 illustrates a simple XQuery expression to return the title for films from the year 2002 from the XML document in Listing 1.
基于贝叶斯网络的XML文档查询选择模型：用户输入自然语言描述的查询后，系统根据文档集合的结构将其构造成多个结构化查询。
The query selecting model of XML documents on Bayesian network: After user inputs the natural query, system constructs several structured queries according to the structure of the document collection.
紫色的醒目显示表明在特定文档中查询条件在何处有匹配。
The purple highlighting shows where query terms match in the specified document.
清单2显示了文档中的查询结果。
IBMDB 2支持存储、管理和查询整个XML文档或文档片段。
IBM DB2 supports storing, managing, and querying entire XML documents or document fragments.
客户机只传递执行文档中的查询并从架构接收结果集。
The client just passes the query within a perform document and receives the answer from the framework.
后面的查询示例搜索这些XML文档的特定元素。
Subsequent query examples search in specific elements of these XML documents.
使用DOM可以构建、修改、查询、验证和转换XML文档。
With the DOM, you can build, modify, query, validate and transform XML Documents.
SQL数据库容易查询，而XML文档则不是这样。
计算每个文档匹配给定查询的分数，并根据分数返回最相关的文档。
Calculates a score for each document that matches a given query and returns the most relevant documents ranked by the scores.
全文查询，范围中的文档必须满足此条件。
A full-text query that the documents in the scope must satisfy.
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。
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.
然而，我认为不久就有可能让搜索引擎比今天‘理解’更多查询和文档里面的东西。
However, I think it will soon be possible to have a search engine that "understands" more of the queries and documents than we do today.
注意，清单16按照UUID查询文档，因此检查清单12(或清单13)获取您自己的UUID，以便在清单16中使用它。
Note that Listing 16 queries for the document by UUID, so check Listing 12 (or Listing 13) for your own UUID and use it in Listing 16.
它允许用户执行快速关键字查询，查找匹配给定查询的文档。
It lets users perform fast keyword look-ups and finds the documents that match a given query.
接着，您需要查询WSIL文档对象，以获得服务名称、服务摘要和WSDL 文档位置这些元素的信息。
Next, you need to query the WSIL document object for information regarding service names, service abstracts, and WSDL document location elements.
可以查询BICS文档以确定是否声明了特定模式或其他机制作为信息约束。
A BICS document can be interrogated to determine if a specific schema or other mechanism is declared as an information constraint.
不存在有效的方法深入探索链接的WSIL文档；在WSIL文档中手动查询太浪费时间。
There is no efficient way for deep exploration of linked WSIL documents; manually searching links found within a WSIL document is far too time-consuming.
在清单8中，订单条目直接嵌入在订单文档中，使得以后查询文档时检索信息快得多。
In Listing 8, the order items have been embedded directly into the order document, making it faster to retrieve this information when querying on the document later.
为了缩短文档装载和查询时间，您可以给eXist更多的内存。
To improve both document loading and query times, you can give eXist more memory.
与此相反，XQuery设计用于查询文档和准备报告。
XQuery, in contrast, is designed to query documents and prepare reports.
但本文的主题是XPath，一种为查询XML文档而设计的查询语言。
However, the subject of this article is XPath, a query language designed for querying XML documents.
使用XQuery查询这些文档。
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