元数据质量评估的概念框架

Thomas Margaritopoulos, M. Margaritopoulos, I. Mavridis, A. Manitsaris
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引用次数: 45

摘要

存储库中数字资源的元数据质量直接关系到存储库的效率和价值。在本文中,通过引入一个新的概念框架来处理元数据质量的主题,该框架根据其基本组件来定义元数据质量。此外,还提出了一种通过利用资源之间的结构和语义关系来评估这些组件的方法。这些关系可用于生成隐含的逻辑规则,这些规则包括、强制或禁止元数据记录字段中的某些值。使用这些规则可以作为对记录进行质量控制的工具,以便诊断缺陷和错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Conceptual Framework for Metadata Quality Assessment
Metadata quality of digital resources in a repository is an issue directly associated with the repository's efficiency and value. In this paper, the subject of metadata quality is approached by introducing a new conceptual framework that defines it in terms of its fundamental components. Additionally, a method for assessing these components by exploiting structural and semantic relations among the resources is presented. These relations can be used to generate implied logic rules, which include, impose or prohibit certain values in the fields of a metadata record. The use of such rules can serve as a tool for conducting quality control in the records, in order to diagnose deficiencies and errors.
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