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Rule Categories for Collection/Item Metadata Relationships

机译:集合/项目元数据关系的规则类别

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Collections of artifacts, images, texts, and other cultural objects are not arbitrary aggregations, but are designed to support specific research and scholarly activities. Collection-level metadata directly supports this objective, providing critical contextual information. However, exploiting this information, especially in a semantic web environment of linked data, requires a precise formalization of the rules that characterize collection/item metadata relationships. Toward this end we are developing a logicbased framework of relationship rule categories for collection/item metadata. This framework will support metadata specification developers, metadata catalogers, and system designers. In earlier work we described three example rule categories for propagation of information from collections to items. Further reflection, and examination of metadata in an RDF testbed, has revealed eighteen categories, which form an interrelated system with three levels of specificity and formal constraints differentiating categories. This paper summarizes the results of a three year effort, part of the IMLS Digital Collections and Content project.
机译:文物,图像,文本和其他文化对象的集合不是任意聚合,但旨在支持特定的研究和学术活动。收集级元数据直接支持此目标,提供关键的上下文信息。但是,利用此信息,尤其是在链接数据的语义Web环境中,需要精确形式化的规则,该规则表征集合/项目元数据关系。迄今为止,我们正在开发一个用于集合/项目元数据的关系规则类别的逻辑框架。此框架将支持元数据规范开发人员,元数据编目和系统设计人员。在早期工作中,我们描述了从集合传播信息的三个示例规则类别。进一步的反思和对RDF试验台中的元数据的检查揭示了十八类,形成了一个相互关联的系统,具有三种特异性和正式的限制区分类别。本文总结了三年努力的结果,是IMLS数字集合和内容项目的一部分。

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