Representing semi-structured data using XML
使用XML表示半结构化数据
This is a fairly simple mapping from semi-structured data to HTML.
这是一个相当简单的从半结构化数据到HTML的映射。
JSON for data: If you have structured or semi-structured data, choose JSON.
对于数据，使用JSON：如果您拥有结构化或半结构化的数据，那么选择JSON。
Using XML to extract useful information from semi-structured data sets.
使用XML从半结构化数据集中抽取有用信息。
It provides tools to create data feeds from structured and semi-structured data sources.
它提供了从结构化和半结构化数据源创建数据Feed的工具。
These attributes make XML dialects prime vocabularies for representing semi-structured data.
这些属性使得XML方言成为表示半结构化数据的主要词汇表。
Mozilla also USES Resource Description Framework (RDF) to manage semi-structured data used in XUL.
Mozilla还使用资源描述框架(RDF)管理XUL中使用的半结构化数据。
One of the best uses I've found for XSLT in the browser is to deliver reports against semi-structured data.
我发现在浏览器中使用XSLT的最佳实践之一是交付针对半结构化数据的报告。
Semi-structured data, primarily in the form of HTML, is enabling new prospects for mining data from the web.
半结构化数据（主要是HTML形式的）正在开创从web挖掘数据的新局面。
InfoSphere MashupHub client provides tools to create data feeds from structured and semi-structured data sources.
InfoSphereMashupHub客户机提供了用于从结构化和半结构化的数据源创建数据提要的工具。
If you have a solution that lets you store semi-structured data, you can also use it to store structured and unstructured data.
如果您有一个能够存储半结构化数据的解决方案，那么也能用它存储结构化和非结构化数据。
The paper proposes an approach to storing semi-structured data based on XML, and develops algorithms for storing and parsing.
提出了一种基于XML存储半结构化数据的方法，设计并实现了相应存储与解析算法。
In recent years, the research about the data mining based on the unstructured and semi-structured data become one of research focuses.
针对海量非结构化与半结构化数据进行挖掘分析成为近年来研究的热点。
In relational database, there are massive relational patterns, in which, data structure is generally structured data or semi-structured data.
关系型数据库中包含了大量的关系模式，其中的数据结构一般为结构化或半结构化数据。
Representing semi-structured data as an XML-based document requires a robust data-mining system to support XML consumption, manipulation, and output.
将半结构化数据表示为基于XML 的文档需要一个健壮的数据挖掘系统来支持XML消费、操纵和输出。
Semi-structured data generally contains tags or other elements to separate semantically related elements that imply some details about the associated data.
半结构化数据一般包含标记或其他元素，以从语义上分隔那些隐含了关于相关数据的一些详细信息的相关元素。
The presenting model for semi-structured data base Resource Description Framework(RDF) and its information retrieval mechanism were proposed in this paper.
提出了一种基于资源描述框架（RDF）的半结构化数据表示模型，并设计了相应的信息检索机制。
A new data binding is supported for WebSphere TX, enabling the transformation of business objects to and from semi-structured data and complex industry schemas.
支持一种用于WebSphereTX的新数据绑定，从而允许在半结构化数据和复杂行业模式之间来回转换业务对象。
The sheer volume of unstructured and semi-structured data found on the web and in internal data stores increases the need for intelligent and effective data mining.
web上和内部数据存储中非结构化和半结构化数据量的爆炸式增长，促进了对对智能且高效的数据挖掘的需求。
This format is simple, concise, retains all the information of earlier formats, retains structure well, yet it is still flexible enough for the semi-structured data.
这种格式很简洁，保留了以前格式的所有信息，还保留了结构，而且仍然足够灵活，可以处理半结构化数据。
The thesis introduces concepts and present research status about data mining, semi-structured data mining and XML, and produces an oriented-XML treelike object model named TOM.
本文介绍了数据挖掘、半结构化数据挖掘、XML的相关概念和研究现状，提出了一种面向XML的树型对象模型TOM。
This allows the data service to combine structured data with semi - or unstructured data.
这让数据服务可以将结构化的数据和半(或非)结构化的数据组合起来。
And what do you do if the amount of structured, semi-structured, and unstructured data is roughly equal?
另外，如果结构化、半结构化和非结构化数据的数量大体相当，那么怎么办呢？
Relations are flat, highly structured, strongly typed, and unordered while XML data is ordered, nested, hierarchical, optionally typed and often irregular and semi-structured.
关系型数据是平面的、高度结构化、强类型化、无序的，而XML数据是有序、嵌套的、层次化的、可选类型化的，并且往往不规则且是不完全结构化的。
To be reasonable, for an honest "no" to this question, most of your data should be document-like storage of semi-structured nature.
但是准确地说，如果要对这个问题回答 “不需要”，那么您的大多数数据应该是半结构化的文档。
Mining data from today's data stores requires that processors attempt to create structured data from data that is often totally unstructured or semi-structured at best.
从当今的输出存储中挖掘数据，要求处理程序试图从通常是完全非结构化的或者最多是半结构化的数据，创建结构化的数据。
Companies may also have a need to analyze semi-structured text (such as XML content) or other data types (such as audio and video).
公司还可能需要分析半结构化文本(比如XML内容)或其他数据类型(比如音频和视频)。
XML formats, on the other hand, are good at describing data of a semi-structured nature.
另一方面，xml格式非常适合描述半结构化数据。
Mining data from the web involves applying structure to information that is typically presented in a semi-structured format at best.
从web挖掘数据需要向通常最多只不过以半结构化格式呈现的信息应用结构。
Raw data can be structured, it can also be a semi-structured, even distribution on the network of heterogeneous data.
原始数据可以是结构化的，也可以是半结构化的，甚至是分布在网络上的异构型数据。
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