此外，超越整函数半群有着唯一的最小生成元集。
We also obtain that for a finitely generated transcendental semigroup, there is a best generating set.
左半正规纯正半群是幂等元集形成左半正规带的纯正半群。
A left seminormal orthodox semigroup is an orthodox semigroup whose idempotents form a left seminormal band.
提出了事元集的完备蕴含链的概念，在此基础上，讨论了事元集中，目的事元实现策略的存在性。
Based on this concept, the existence of the affair element set and the tactics realizing affair element of aims is discussed.
研究N元集的一类排序问题的最优设计，得到了N元集逆序排序所需的最少抽换次数，同时也给出了相关的结果和算法的实。
The optimal design for a kind of sequencing problem of N-set is investigated, and the least substitution times of the converse ordinal of N-set is obtained.
普通的元数据集包括文件名、作者、创建时间和更新时间；不过，对于某些情况，普通的元数据集不足以描述文件的属性。
The common set of metadata includes file name, author, created time, and updated time; however, in some cases, the common metadata is not sufficient to describe the file properties.
这些样式表的输出是资源描述框架(RDF)三元组，可以用功能丰富的RDF工具集处理。
The output from these stylesheets are Resource Description Framework (RDF) triples that you can process with the underutilized RDF toolset.
与现有安全模型中的多维数据集和维度关联的安全元数据保留在生成的安全模型中。
The security metadata associated with the cube and dimension in the existing security model are kept in the resulting security model.
UML 2.1规范所定义的元类，可以被用来指定原型属性集的类型，通过在原型和所需的元类之间创建一个元类的关联。
A UML 2.1 defined metaclass can be used to specify the type of stereotype attributes by creating a metaclass association between the stereotype and the desired metaclass.
这意味着每个已定义的多维数据集每分钟重新构建其元数据，从而引发处理开销和数据库操作。
This means that each defined cube rebuilds its metadata every minute and thus incurs processing overhead as well as database activity.
元数据类型的属性进一步描述了基本属性集之外的内容状态。
The metadata types have properties that further describe the state of the content beyond the base set of properties.
属性集概要文件中的构造型类似于需要的构造型，它位于应用到特定元类元素的概要文件之中。
Stereotypes in a property set profile are similar to required stereotypes in that they are implicitly applied to the elements of the specified metaclass.
您可以选择只删除与多维数据集关联的安全元数据，如图23所示。
You have the option to delete only the security metadata associated with the cube, as shown in Figure 23.
多维数据集模型包含元数据对象，这些对象描述基表数据中的关系以及相关数据位于什么地方。
A cube model contains metadata objects that describe relationships within the data that resides in the base tables and also describes where pertinent data is located.
数据库可以存储olap元数据，包括olap模型和多维数据集。
The database is enabled for storing OLAP metadata, including an OLAP models and cubes.
olap多维数据集具有一组特定的、类似但却更多限制性的、衍生自父多维数据集模型的元数据对象，这些对象包括多维数据集维、多维数据集层次结构、多维数据集层和一个多维数据集事实对象。
An OLAP cube has a specific set of similar but more restrictive metadata objects derived from the parent cube model, including cube dimensions, cube hierarchies, cube levels, and a cube facts object.
删除与多维数据集关联的安全元数据后，指示使多维数据集可用的CubeServers重新加载安全(如果它们在删除时正在运行的话)。
After you delete the security metadata associated with the cube, instruct the cube Servers that make the cube available to reload security if they are running at the time of the delete.
Replace—资源库中与安全文件中的多维数据集关联的所有安全元数据将被删除，文件中的所有安全元数据将添加进来。
Replace - Any security metadata in the repository associated with the cubes in the security file will be removed, and all security metadata in the file will be added.
您应该熟悉DB 2CubeViews元数据对象，比如多维数据集模型、事实对象、维、联结、度量和属性。
You should be familiar with DB2 cube Views metadata objects, such as cube models, facts objects, dimensions, joins, measures, and attributes.
AdministrationConsole提供两个视图查看存储库中的安全元数据：一个按多维数据集查看，另一个按角色查看。
The Administration Console provides two different views of the security metadata in the repository: one by cube and the other by role.
DesignStudio不但可以用来设计、管理和部署olap模型和多维数据集，还可以用来与其他商业智能工具交换olap元数据。
Design Studio cannot only be used for designing, managing and deploying OLAP models and cubes, but also allows for exchanging OLAP metadata with other business intelligence tools.
要删除多维数据集模型中与一个多维数据集关联的安全元数据，使用AdministrationConsole执行以下操作。
To remove the security metadata associated with a cube in your cube model, use the Administration Console to do the following.
注意：在Python内，集是惟一元素的无序集合。
Note: In Python, sets are unordered collections of unique elements.
按照基本规则和DB 2CubeViews元数据定义的多维数据集模型完整性规则，查询的多维数据集模型应该是有效的。
The cube models being queried should be valid according to the base rules and cube model completeness rules defined for the DB2 cube Views metadata.
获得关于所产生的结果数据集的元数据。
运行时将确定一个SQL操作的参数(比如本例中的deptno)并且还分析该SQL结果集的元数据，以创建正确的XML输出类型。
The runtime will determine the parameters to an SQL operation (such as the deptno in the example) and also analyze metadata of the SQL resultset to create the right XML output types.
聚合属性对于复合属性集非常重要：它必须要为类的属性设置成Composition并且为元类的原型类型设置为 Shared 。
The Aggregation property is important for complex types: it has to be set to Composition for attributes of a class type and Shared for attributes of metaclass or stereotype.
因为现有安全模型中的hr多维数据集没有和导入安全模型中的任何多维数据集冲突，与该多维数据集关联的安全元数据保留在生成的安全模型中。
Because the hr cube in the existing security model does not collide with a cube in the incoming security model, the security metadata associated with this cube remains in the resulting security model.
因为现有安全模型中的hr多维数据集没有和导入安全模型中的任何多维数据集冲突，与该多维数据集关联的安全元数据保留在生成的安全模型中。
Because the hr cube in the existing security model does not collide with a cube in the incoming security model, the security metadata associated with this cube remains in the resulting security model.
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