尽管可以用文件系统作为替代——而且它们还提供了更好的性能。但它们既没有提供用于搜索信息的查询语言，也没有提供表示关系或事务的概念。
File systems can be used as an alternative and while they offer better performance, there is neither a query language for searching information nor a notion of relationship or transaction.
关系数据库使用结构化查询语言(Structured Query Language,SQL)以便从多个表和列中提取信息，但是键值存储仅限于对键列的操作。
Relational databases use Structured Query Language (SQL) to pull information from multiple tables and columns, but key-value stores are limited to operations on the key column.
大多数方法都采用一些专用查询语言的形式把html页面的各个部分映射成代码，而这些代码将Web页面上的信息填入到数据库中。
Most take the form of some proprietary query language that maps sections of an HTML page into code that populates a database with information from the Web page.
如果信息用XML文档给出，可以用XML查询语言如XQuery检索数据。
With information specified as an XML document, you can retrieve data with an XML query language, like XQuery.
DB 2NetSearchExtender提供了一种灵活的查询语言，可以根据复杂的获取操作(例如涉及布尔组合、通配符和模糊搜索)寻找相关信息。
DB2 Net search Extender provides a flexible query language to find relevant information based on complex retrieval operations involving Boolean combination, wildcard, and fuzzy search, for example.
从查询角度来看，服务控件标题信息(DWLControl)可用于表示将为查询服务返回哪种语言的产品内容。
From an inquiry perspective, the service control header information (DWLControl) can be used to indicate what languages product content are to be returned in for inquiry services.
XQuery 1.0规范：了解有关此XML语言的更多信息，该语言灵活使用 XML结构表达跨各种 XML数据源的查询。
XQuery 1.0 specification: Learn more about this XML language that makes intelligent use of XML structure to express queries across various XML data sources.
为了利用这种灵活性，一个XML查询语言应该提供检索和解释不同数据源信息的特征。
To exploit this flexibility, an XML query language must provide features for retrieving and interpreting information from these diverse sources.
论述了在程序设计过程中，使用数据库开发工具独有的字段通用属性、查询设计器、类设计及SQL语言等功能，完成信息管理系统的设计过程。
This paper has a discussion on the process of information management design to use the common property of Database tools, query designer, class design, SQL language in the process of program design.
SPARQL是标准的RDF数据查询语言。RDF数据为开发者提供了书写贯穿网络RDF信息的查询信息。
SPARQL is a standardized query language for RDF data which offers developers a way to write queries across the wide range of RDF information on the web.
本文提出了一种信息检索模型，以自然语言的形式进行检索，得到用户想要得到的内容，进而提高查询的准确性。
This paper provides an information retrieval model, and it retrieves in way of natural language, gets the content what the users want, so it can improve the retrieval precision.
在分词技术、索引技术、结构化查询语言技术的基础上，提出了一个基于XML文档数据库的信息检索系统，这一系统模型主要由分词模块、索引模块及查询模块组成。
This paper puts forward an information retrieval system based on XML documents database on the foundation of segmentation technology, index technology and structured query language technology.
跨语言信息检索中，输入的查询语句往往是一系列关键词组合，而不是一个完整的句子。
In the cross language information retrieval, the query input is often a combination of keywords, not a complete sentence.
详细介绍了语言级集成查询的特点及其在信息查询中的应用，并分析了其在电力企业中的应用前景。
This paper introduces in detail the characteristic of language integrated query and its application in the information query, and analyses the application prospect in electric power enterprises.
语言、务实和探索技术被用来确定涉及一些需要通过用户查询信息的文档的意义。
The linguistic, pragmatic and heuristic techniques were used to determine the significance of a document in relation to the information need presented through the query given by the user.
利用XML查询语言的优点改善企业信息系统查询的性能，达到跨平台查询的目的。
The excellence of XML query is expounded in the paper, by using this XML query it can be reached to enhance corporation information system query performance and to achieve the cross-platform query.
本文提出一种适用于管理信息系统中关系数据库查询的自然语言接口模型。
In this paper, an interface model of the natural language is proposed, which is suitable to the query of relational database on MIS.
将所抽取的特定领域双语词典应用于跨语言信息检索系统，对词典抽取结果进行了验证，结果表明对于特定领域的查询条件，查询结果的精确度和召回率都有较大提高；而对非特定领域的查询条件，效果不明显。
The results showed that the bilingual dictionary from this method improved the precise and recall of the CLIR for the query on the special domain and had no effect on the non-special domain query.
将所抽取的特定领域双语词典应用于跨语言信息检索系统，对词典抽取结果进行了验证，结果表明对于特定领域的查询条件，查询结果的精确度和召回率都有较大提高；而对非特定领域的查询条件，效果不明显。
The results showed that the bilingual dictionary from this method improved the precise and recall of the CLIR for the query on the special domain and had no effect on the non-special domain query.
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