半结构数据库的标记算法因为在标记时考虑到各种可能的攻击方式，所以其标记有较好的鲁棒性。
The labeling algorithm for semi structure database is relatively robust because it takes almost all possible attacks into account.
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。
If you have a solution that lets you store semi-structured data, you can also use it to store structured and unstructured 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。
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.
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？
And what do you do if the amount of structured, semi-structured, and unstructured data is roughly equal?
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。
To be reasonable, for an honest "no" to this question, most of your data should be document-like storage of semi-structured nature.
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。
JSON for data: If you have structured or semi-structured data, choose JSON.
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。
This allows the data service to combine structured data with semi - or unstructured data.
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。
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.
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。
Representing semi-structured data as an XML-based document requires a robust data-mining system to support XML consumption, manipulation, and output.
更为复杂的问题是，大量需要处理的数据是非结构化或者半结构化的，这就更难查询了。
Further compounding the issue is that a lot of the information needing to be processed is either unstructured or semi-structured text, which is difficult to query.
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。
Semi-structured data generally contains tags or other elements to separate semantically related elements that imply some details about the associated 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。
These attributes make XML dialects prime vocabularies for representing semi-structured data.
另一方面，xml格式非常适合描述半结构化数据。
XML formats, on the other hand, are good at describing data of a semi-structured nature.
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)。
Companies may also have a need to analyze semi-structured text (such as XML content) or other data types (such as audio and video).
它提供了从结构化和半结构化数据源创建数据Feed的工具。
It provides tools to create data feeds from structured and semi-structured data sources.
促进个人将保存于他们文档或本地数据库中的结构化和半结构化信息分享给组织内的其他人。
Facilitating individuals to share structured and semi-structured information stored in their documents or local databases, with others in the organization.
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。
Mining data from the web involves applying structure to information that is typically presented in a semi-structured format at best.
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。
InfoSphere MashupHub client provides tools to create data feeds from structured and semi-structured data sources.
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。
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.
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。
Semi-structured data, primarily in the form of HTML, is enabling new prospects for mining data from the web.
使用XML从半结构化数据集中抽取有用信息。
Using XML to extract useful information from semi-structured data sets.
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。
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.
Mozilla还使用资源描述框架(RDF)管理XUL中使用的半结构化数据。
Mozilla also USES Resource Description Framework (RDF) to manage semi-structured data used in XUL.
使用XML表示半结构化数据
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。
Raw data can be structured, it can also be a semi-structured, even distribution on the network of heterogeneous data.
半结构化数据是网络中一种重要的数据形式，其数据抽取和知识发现研究是半结构化数据各项研究的核心。
Semi-instructured data is a kind of the important type in networks, and its data extracting and knowledge discovery is the core for semi-structured researches.
现有的半监督聚类方法较少利用数据集空间结构信息，限制了聚类算法的性能。
Most of the existing semi-supervised clustering methods neglect the structural information of the data, while the few constraints available may degrade the performance of the algorithms.
结果得出了椎动脉沟半距、椎弓、寰椎前后结节等结构的测量数据。
Result Obtaining the data of the radius of arterial groove vertebral arch, the tuberculum posterius and anterior altantis .
提出一种利用关系数据库系统在一般图结构的半结构化数据上进行近似查询的途径。
An approach to approximate querying of general graph structured semistructured data is proposed based on a relational database system.
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。
The presenting model for semi-structured data base Resource Description Framework(RDF) and its information retrieval mechanism were proposed in this paper.
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