• To use a custom document model, you have to specify one at text index creation time.

    要使用定制的文档模型,就必须在创建文本索引时指定一个文档模型。

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  • Of course, fast performance using this method requires an updated full-text index.

    当然,使用此方法的快速性能需要更新的全文索引。

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  • In the normal flow, the MIML is input into the indexing step and a text index is created.

    按照通常的流程,首先将MIML作为输入提供给索引构建步骤,创建一个文本索引。

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  • Let's first discuss the scope of the functionality that the inverted text index provides.

    首先我们来讨论反向文本索引提供的功能范围。

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  • As you will see, any text index administrative task needs to be done with the command db2text.

    以后会看到,任何文本索引管理任务都需要用命令db2text来执行。

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  • Your data and the text index need to be explicitly synchronized if no update frequency is specified.

    如果没有指定更新频率,那么需要显式地对数据和文本索引进行同步。

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  • The discussion database contains 113,000 documents and 23 categories and has full text index enabled.

    讨论数据库包含 113,000篇文档和23 个类别,并支持全文索引。

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  • This section describes a simple mechanism for creating an inverted text index by using index extensions.

    本节描述一种简单的通过使用索引扩展创建反向文本索引的机制。

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  • The CM system can also create and maintain a full-text index of the archived objects (optional setting).

    CM系统还可以创建和维护被归档对象的一个全文本索引(可选设置)。

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  • However, you can define the terms in a synonym dictionary and apply the synonym dictionary to the text index.

    然而,您可以在同义词词典中定义这些词汇,并将这个同义词词典应用到文本索引。

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  • It USES a scheduler to initiate periodic events, such as crawler executions and full-text index maintenance.

    它使用一个调度程序来发起周期性的事件,比如爬网程序执行和全文索引维护。

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  • A text index typically consists of information about relevant terms that are extracted from the text documents.

    文本索引通常包含关于从文本文档中提取的相关词的信息。

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  • The script will prompt you to either drop an existing multiline text index or to create a new multiline text index.

    这个脚本将提示您要么删除一个现存的多行文本索引要么创建一个新的多行文本索引。

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  • Certain terms are included in the text index, but they might be ignored for matching when combined with other terms.

    文本索引中会包含特定的词汇,但是它们可能在与其他词汇组合时不进行匹配。

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  • Select the "Create full text index for searching" option to ensure that all new replicas are ready for searching.

    选择“Createfulltext indexforsearching”选项,以确保所有新副本做好搜索准备。

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  • This is an asynchronous process that extracts the text information from the archived objects to update the full-text index.

    这是一个异步过程,其作用是从被归档对象中提取文本信息来更新全文本索引。

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  • Maintaining a full-text index costs little in terms of performance, and there are many options available to minimize impact.

    维护全文索引对性能影响甚微,并且通常有许多可用的选项使影响最小化。

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  • The task of synchronizing the text index is called index update and typically follows right after you have created a text index.

    对文本索引进行同步的任务称为索引更新,通常在创建文本索引之后立即执行。

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  • Based on this test, we concluded that if databases are searched regularly, it is generally better to create a full-text index.

    基于这个测试我们得出:如果需要定期搜索数据库,创建全文索引通常是较好的做法。

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  • Note that after you create a text index, text search does not find any results, as the text index contains no data at this point.

    注意,在创建文本索引之后,文本搜索还不能找到任何结果,因为此时文本索引不包含任何数据。

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  • In XML cases, not only the significant terms, but also their location in the XML document structure is maintained in the text index.

    在XML文档的情况下,文本索引中不但包含重要的词汇,而且包含它们在XML文档结构中的位置。

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  • For example, the index extension for the inverted text index can be parameterized to also support case-sensitive and case-insensitive indexes.

    例如,将反向文本索引的索引扩展参数化,以支持大小写敏感和大小写不敏感的索引。

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  • The command in Listing 4 creates a full-text index named "ix1" on the XML documents that are stored natively in column "description" of table "product."

    清单4中的命令在“product”表的“description”列中本机存储的XML文档上创建一个名为“ix1”的全文索引。

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  • Once you have defined a custom model file, it can be used for index creation. The definition of a text index with a custom document model looks as follows.

    定义了定制模型文件之后,就可以在创建索引时使用它。

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  • This means that you can perform these searches against a database owned by other people in which you have no ability to create views or a full-text index.

    这意味着可以对其他人拥有的数据库执行这些搜索,而您是无法在该数据库中创建视图或全文索引的。

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  • Rather than sequentially searching through the text data using string matching, as done with the XQuery contains function, Net search Extender USES a text index.

    NetSearchExtender并不使用字符串匹配连续地搜索文本数据(就像XQuerycontains函数所做的那样),而是使用文本索引。

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  • During index update processing, the lexical analysis identifies the lemmas of the words in the document, and the analysis adds this information to the text index.

    在索引更新过程中,词法分析确定文档中单词的词元。

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  • Using a text index makes document search much more efficient, as the text data does not need to be examined at query time like it is done with sub-string matching.

    使用文本索引使文档搜索的效率大大提高,因为不需要像进行子字符串匹配时那样在查询时检查文本数据。

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  • The create index command establishes the text index infrastructure by defining the text index attributes, such as update frequency, a document format, an index directory, and so on.

    createindex命令定义文本索引属性,比如更新频率、文档格式、索引目录等等,从而建立文本索引基础设施。

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  • The pipeline processes documents before they are indexed in the full-text index, and it provides automated summarization, document format conversion, and categorization services (See Figure 1).

    在全文索引中建立文档的索引之前,管道将对文档进行处理,并且提供了自动化的摘要、文档格式转换和分类服务(请参见图1)。

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