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.
尽管这个应用程序非常简单，但是它说明了使用UIMA在非结构化数据和结构化数据之间建立联系的主要特性。
While this application is very simple, it illustrates the main features of using UIMA to bridge between the worlds of unstructured and structured data.
如果信息用结构化的形式表示，特别是如果这种结构可能需要扩展，则使用元素。
If the information is expressed in a structured form, especially if the structure may be extensible, use elements.
虽然许多组织认识到集成结构化和非结构化信息的重要性，但目前的搜索结果仍旧互不相干。
Although many organizations realize the importance of integrating structured and unstructured information, today's search results are still unrelated to each other.
该模式为分布式信息创建了集成视图，且在联合结构化和非结构化的信息时不会带来数据冗余。
The pattern creates an integrated view into distributed information without creating data redundancy while federating both structured and unstructured information.
它们称为结构化的原因是这些它们的结构是按照一致的规划确定的。
The reason they are called "structured" is because their structure is dictated by an agreed schema.
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.
将非结构化发布转换为结构化发布是需要时间和精力的。
The move from unstructured publishing to structured publishing takes time and effort.
更多的结构化和非结构化数据可以比尔恩门所著的《参考数据库之父》的摘要。
For more on structured versus unstructured data read a synopsis by the father of data warehousing, Bill Inmon.
UML2(以及UML - RT)支持结构化的类和结构分层，此支持是处理大型系统时的基础。
UML2 (as well as UML-RT) has support for structured classes and structure hierarchy; this support is fundamental when dealing with large systems.
常规数据库可以存储高度结构化的数据和非结构化数据。
Regular databases can store both highly structured data and unstructured documents.
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.
还记得吗，适配器创建的接口既具有用于读取非结构化数据的通用操作，又包含用于读取结构化数据的特定于业务对象的操作。
Recall that the adapter creates an interface that has a generic operation for reading unstructured data and an operation specific to the business object for reading structured data.
而无论如何，语义Web尚未消失，所有在非结构化世界中寻找结构化数据的问题依然存在。
But for whatever reason, the semantic Web hasn't taken off, and the problem of finding structured data in an unstructured world remains.
您知道，人们一直在尝试从非结构化的Web中提取结构化数据。
You see, for a while now, people have tried to extract structured data from the unstructured Web.
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.
图6显示了如何使用Hadoop来分析数据，以提供关于结构化和非结构化数据的分析。
Figure 6 shows Hadoop used for historical data analysis to provide analytics on structured and unstructured data.
很多工作流既具有不变步骤(结构化的)也具有机动步骤(非结构化的)。
Many workflows have both rigid steps (structured) and ad-hoc steps (unstructured).
IBMDB 2ContentManagement系统是众多得到广泛应用的企业内容管理产品之一，可用来管理结构化和非结构化的信息。
IBM DB2 Content Management system is one of the widely used Enterprise Content Management products, used for managing both structured and unstructured information.
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.
如果列是结构化类型列，则需要将结构化类型的名称指定为其数据类型(清单1)。
If the column is a structured type column, you specify the name of the structured type as its data type (Listing 1).
然而，信息管理支持SOA，因为它解决了其中一个最重要的公司资产——结构化格式和非结构化格式的信息。
Yet information management supports SOA in that it deals with one of the most important corporate assets — information in both structured and unstructured formats.
数据之间的关系中存在结构，但就该数据的意义而言它不是结构化数据。
There is structure in the relationships of the data, but the data is not structured with regard to the meaning of that 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?
企业搜索系统为搜索任意数量的结构化和非结构化数据源提供广泛的功能，而且只要求单点访问。
An enterprise search system provides extensive capabilities for searching any number of structured and unstructured data sources with a single point of access.
一个通常难以做出的重要决策就是一个聚集层是否真正是(结构化)层次结构的一个元素，或它是否仅仅是维度中一项的属性。
An important and often difficult decision to make is whether an aggregation level actually is an element of a (structural) hierarchy, or whether it simply is a property of an item in the dimension.
它还提供了一种灵活的类树结构来满足各种结构化的语言环境数据的要求。
It also provides a flexible, tree-like structure to accommodate the need for various kinds of structured locale data.
在以后的文章中，我们会着眼于那些可以从无结构的信息中提取出结构化信息的技术。
In a future article, we will look at technologies that allow us to extract structure where there is none.
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