Instance metadata simply is data stored in a content management metadata repository and refers to objects stored somewhere else, such as documents, Web pages, audio, and video files.
实例元数据只是储存在内容管理元数据储存库中的数据，并引用存储在别处的对象，例如文档、web页面、音频和视频文件。
In next month's column we will expand on this example to give our software repository the content management features and searching all of the metadata we are generating.
在下个月的专栏中，我们将在本示例的基础上加以扩展，让软件资源库具有内容管理的功能，并能够搜索生成的所有元数据。
Furthermore, there are instance and class metadata in the content management arena.
此外，还有用于内容管理的实例和类的元数据。
On the other hand, requirements for metadata management are very similar to data and content management.
另一方面，元数据管理的需求与数据和内容管理是十分类似的。
Metadata and metamodels, in many products, have their own proprietary format. This is especially true for content management.
许多产品中的元数据和元模型都有其专有格式，特别是内容管理。
The content cloud implements metadata and indexing services over the infrastructure cloud to provide abstracted data management for all content.
内容云实现了元数据和基础设施云的索引服务，可以提供对所有内容的抽象数据管理。
In addition, the DITA metadata enables many different content management approaches to be applied to its content.
此外，dita元数据还支持将很多不同的内容管理方法应用于内容。
Services offered by information management, such as SSO, ETL, federation, quality, search, versioning, and workflow can be invoked for data, content, and metadata management when they are needed.
服务由信息管理体构，例如在需要时，可以调用信息管理提供的服务(比如sso、ETL、联合、质量、搜索、版本控制和工作流)以获取数据、内容和元数据管理。
Relationships among data, content, and metadata management.
数据、内容和元数据管理之间的关系。
Metadata management needs to offer the same types of services on security, collaboration, QoS, and manageability as on data and content management.
元数据管理需要提供关于安全性、协作、QoS和可管理性的相同的服务类型。
XML is well-suited to another important requirement in the publishing industry: content metadata management.
XML十分适合于出版中的另一个重要需求：内容元数据管理。
Meta-data management technology and metadata management strategies are successful integration of meta-data will need to focus on the content of the study.
元数据管理技术和元数据管理策略都是进行成功的元数据集成所必需要重视的研究内容。
Metadata management is not a purely technical problem, because many of metadata management content to rely on management systems, processes, and other artificial AIDS to complete participation.
元数据管理不是一个单纯的技术问题，因为元数据管理的很多内容需要依靠管理制度、流程、其它辅助工具以及人工参与来完成。
Metadata management is not a purely technical problem, because many of metadata management content to rely on management systems, processes, and other artificial AIDS to complete participation.
元数据管理不是一个单纯的技术问题，因为元数据管理的很多内容需要依靠管理制度、流程、其它辅助工具以及人工参与来完成。
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