Figure 7 shows another possible schema for MIML data.
图7显示了另一种可用于MIML数据的模式。
Listing 7 shows how to index all the keyword values in the MIML XML format.
清单7展示了如何为MIMLxml格式中的所有关键词值建立索引。
The optional dimensions stem from the standard keyword categories in the MIML data.
可选的维表源于MIML数据中的标准关键词类别。
Also, MIML data shredded into a relational is more easily accessible for most BI tools.
而且，对于大多数BI工具而言，被分解到关系表中的MIML数据更易于访问。
Since you often analyze many such documents, the MIML file typically has many elements.
由于您经常要分析很多这样的文档，所以MIML文件通常有很多个元素。
This has a significant impact on the time it takes to ingest a large amount of MIML data.
这对于摄取大量MIML数据所花的时间有很大的影响。
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。
Also, MIML data shredded into a relational schema is more easily accessible for most BI tools.
而且，对于大多数BI工具而言，分解到关系模式中的MIML数据更易于访问。
You also notice that this schema does not represent all the data items from the original MIML file.
还需注意，这种模式并不表示原始MIML文件中的所有数据项。
For example, all the detailed information about keyword occurrences (MIML element) has been skipped.
例如，所有关于关键词出现情况的详细信息(MIML元素)已经被省略。
The alternative to shredding is to store and index the MIML data in a column of type XML in a DB2 table.
作为分解方法的另一种备选方法是将MIML数据存储在db2表中的xml类型的列中，并为之建立索引。
As an alternative to annotated schema, you can use the SQL function XMLTABLE to shred the MIML documents.
除了使用带注释的模式以外，另一种选择是使用SQL函数XMLTABLE来分解MIML文档。
The first relational schema is a very straightforward relational representation of the MIML data (Figure 5).
第一种关系模式是对MIML数据的非常简单的关系表示(图5)。
After the annotated schema is registered, you can shred the MIML document into the relational target tables.
注册好带注释的模式之后，就可以将MIML文档分解到关系目标表中。
A sample stored procedure that shreds MIML data into the refined star schema (Figure 8) is attached to this article.
本文附带了一个示例存储过程，该存储过程将MIML数据分解到改进的星型模式中(图8)。
There are various ways in which you can define a set of relational tables to represent the MIML data in relational format.
可以以多种不同的方式定义一组关系表，以便用关系格式表示MIML数据。
As an alternative to shredding, you can simply use a table with a column of type XML to store, index, and query the MIML data.
作为分解的备选方法，可以简单地使用一个包含xml列的表来存储、索引和查询MIML数据。
The output of natural language processing is another XML file format called Mining Markup language (MIML), as shown in Figure 3.
自然语言处理的输出是另一个被称作MiningMarkupLanguage (MIML)的XML文件格式，如图3所示。
In this comparison, it is important to note that the approach with the refined star schema converts only a subset of the MIML data into relational format.
在这个比较中，注意使用改进的星型模式的方法只是将一部分MIML数据转换成关系格式。
If you decide to shred MIML to relational tables, there are different options for the relational target schema as well as for the actual shredding method.
如果决定将MIML分解到关系表，那么对于关系目标模式和实际的分解方法又有不同的选项。
This article describes some options for integrating the results of text analysis, the MIML files, into a relational schema for use by normal business reporting tools, such as Cognos.
本文描述将文本分析的结果，即MIML文件集成到关系模式中，以供常规的业务报告工具(例如Cognos)使用的一些选项。
This article describes some options for integrating the results of text analysis, the MIML files, into a relational schema for use by normal business reporting tools, such as Cognos.
本文描述将文本分析的结果，即MIML文件集成到关系模式中，以供常规的业务报告工具(例如Cognos)使用的一些选项。
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