企业元数据管理都柏林核心标准的实际应用

Camille Mathieu
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引用次数: 4

摘要

严重依赖知识工作的大型组织需要有效地捕获和重用信息,通过一致地使用标准化的企业内容元数据来实现。喷气推进实验室(JPL)已经进行了标准化工作,基于已建立的元数据字段标准构建内部内容模式,该标准与内容和应用程序无关,但可在本地自定义,用于各种存储库的应用程序。JPL采用了都柏林核心标准,具有简单和合格的属性以及进一步细化的自定义子属性。JPL资源模式充当企业范围的元数据标准,而特定的应用程序概要文件则为每个存储库或内容管理系统声明可用的字段和字段标签。模式的术语来自两个不同但语义相关的词汇表,并通过中间注册中心将特定应用程序的细粒度清单与企业级术语联系起来。注册表映射允许使用本地元数据和更高级别或外部系统。这项工作证明了一致地应用细粒度元数据和通用元数据对于信息捕获的重要性,并揭示了在大型企业环境中采用Dublin Core标准的重要经验。
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Practical Application of the Dublin Core Standard for Enterprise Metadata Management

EDITOR'S SUMMARY

Large organizations relying heavily on knowledge work require effective capture and reuse of information, enabled through consistent use of standardized enterprise content metadata. The Jet Propulsion Laboratory (JPL) has undertaken a standardization effort, building an internal content schema based on established metadata field standards that are content- and application-agnostic but locally customizable for application to a broad variety of repositories. The JPL adopted the Dublin Core standard, with its Simple and Qualified properties as well as further refined Custom sub-properties. The JPL Resource Schema serves as an enterprise-wide metadata standard, while specific application profiles state the available fields and field labels for each repository or content management system. The schema's terms are drawn from two distinct but semantically related vocabularies and linked by an intermediary registry tying granular listings for specific applications to enterprise-level terms. The registry mappings permit the use of both local metadata and higher level or external systems. The effort has demonstrated the importance of consistent application of both granular and general metadata for information capture and revealed important lessons about adopting the Dublin Core standard in a large enterprise setting.

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