它还演示了如何组合结构化数据库和文本挖掘。
And it also illustrates how it can be combined with structured databases and data mining.
半结构化数据库没有固定的库模式，用户对其结构难以产生清晰的认识，从而无法有效地查询所需的内容。
Due to the lack of stable schema in semistructured database, it is hard for users to obtain a clear view of the structure and employ efficient queries.
为了进行说明，我使用IMDB内容的子集构建了一个DB2结构化数据库，将这些传记信息作为文本字段保存在数据库中。
For illustration, I built a DB2 structured database from a subset of the IMDB content, and included the trivia as text fields in this database.
还可以包含其他证据，这可以通过包含其他结构化数据（比如用数据库表记录哪些人为同一部电影工作过），或者通过进行更深入的文本分析。
We could include other evidence for a connection by either including additional structured data, such as database tables that show which people worked together on movies, or by deeper text analysis.
数据库也包含结构化数据。
我所谓的强大是指，那些解决方案必须能够从结构化数据(例如数据库和网页)和非结构化数据(例如文本、音频和视频)中提取可操作的信息。
By strong, I mean they must be able to extract actionable information from both structured data, such as databases and Web pages, and unstructured data, such as text, audio, and video.
下一小节将针对此类集成给出一个逐步指导示例：文本分析被用于从包含非结构化信息的数据库表中提取结构化信息。
The next section gives you a step-by-step example for this kind of integration: text analysis is used to extract structured information from a database table containing unstructured information.
开始之前，有几点注意事项：第一，要读懂本文，您应当掌握关系型数据库、JDBC和结构化查询语言(SQL)的基础知识。
Before you get started, a few notes: First, to follow along with this article, you should have a basic knowledge of relational databases, JDBC, and Structured Query Language (SQL).
在图3所示的场景中，先给形式自由的文本中的概念加注解，然后把它们与现有的结构化信息一起写到一个数据库表中。
Figure 3 depicts a scenario where concepts in free-form text are first annotated and later written to a database table together with existing structured information.
将任意的结构化数据存储到关系数据库总是麻烦的。
Storing arbitrary structured data in a relational database will always be tricky.
结构化查询语言(SQL)注入是专门针对数据库的攻击。
Structured Query Language (SQL) injections are attacks carried out against databases.
DB 2文本搜索能够对存储在DB 2数据库中的结构化和非结构化数据进行全文搜索。
DB2 text search enables full-text search on structured and unstructured data stored in a DB2 database.
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.
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.
可以在标签内将SQL(结构化查询语言)语句传递给数据库。
Inside a tag, you pass SQL (Structured Query Language) statements to your database.
在数据库中存储结构化数据。
类似于Dictionary和Regularexpression操作器，找到的实体能够映射到数据库表的列，经过进一步处理之后可作为结构化信息使用。
Similar to the Dictionary and Regular Expression operators, the found entities are mapped to database table columns and can be further processed and used like other structured information.
处理关系数据库：结构化查询语言。
关系数据库管理系统（Relational database management systems，RDBMS）适合于存储和检索结构化数据。
Relational database management systems (RDBMS) are good at storing and retrieving structured data.
作为一个说明性的和典型的示例，让我们配置、构建并安装SQLite——一个实现结构化查询语言(Structured Query Language,SQL)数据库引擎的小型的库。
As an illustrative and representative example, let's configure, build, and install sqlite-a small library that implements a Structured Query Language (SQL) database engine.
增强了数据导入工具——数据库和其他结构化数据源现在都可以导入、映射和转化。
Enhanced data import tool - databases and other structured data sources can now be imported, and mapping and transformation can be done on the imported values.
我们不敢奢望首先对它进行结构化并放入数据库中，因为我们希望能够在2到3秒内对它进行分类，”TerraEchosCEOAlex Philp 说。
We don't have the luxury of structuring it and putting it into a database first, because we want to be able to classify it within 2 to 3 seconds,” says TerraEchos CEO Alex Philp.
并且，Rexx当然是完全Turing的，支持模块和结构化编程，有面向专门任务的库，例如GUI接口、网络编程和数据库访问。
And Rexx is certainly Turing-complete, enables modules and structured programming, and has libraries for tasks such as GUI interfaces, network programming, and database access.
最常见的情况是，结构化类型被存储到数据库中。
最重要的是，和关系数据库以及结构化查询语言(SQL)相比，使用原生xml数据库和XQuery将更容易解决众多问题。
Most important, many problems are much easier to solve with a native XML database and XQuery than with a relational database and Structured Query Language (SQL).
从数据库的角度看，XQuery是大型数据集上的结构化和基于内容的查询工具，这一数据集就是世界范围内的XML数据库。
From the database view, XQuery is a tool for structural and content-based querying over the large dataset that is the world-wide XML database.
SQL结构化查询语言基础上建立的数据库系统使得用户能够对数据库进行简单的操作和管理。通过数据库技术可以让用户更好地对企业进行管理。
The database system based on the standard query language — SQL, makes user can easily manage and operate on the database.Users can manage the corporation better because of the database technology.
用数据库搜索来检索结构化且严格匹配的数据十分管用，但这需要对查询结构和数据模型十分熟悉和了解才行。
Database search is great to retrieve structured and exactly matched data, but it requires highly specialized knowledge on query construction and data model familiarity.
很多网站都是从结构化数据产生，数据存储在数据库中。
Many sites are generated from structured data, which is often stored in databases.
很多网站都是从结构化数据产生，数据存储在数据库中。
Many sites are generated from structured data, which is often stored in databases.
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