Comparing metadata quality in the Europeana context

S. Kapidakis
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引用次数: 12

Abstract

The quality of the metadata affects the interoperability of the collections and the quality of all search results, and is important to the success of Europeana. It is not obvious how to define quality metrics, on different kinds of metadata and collections, and many different perceptions may be valid. Nevertheless, a metadata quality metric will help the collection administrators detecting and improving the weaknesses of their metadata, and Europeana locating the most problematic collections, in terms of metadata quality, and prompt their administrators to improve their descriptions. We developed an adaptive quantitative metadata quality metric and a system to implement it for Europeana Local that takes into account the significance of the different metadata elements in the record, and also the values that they contain. In controlled values, their distribution is of importance, while for free text values the length of the description is used. We applied this metric to collections outside Europeana to find reasonably expected thresholds and weights for each individual value in the Europeana context and both outside and inside Europeana, and compared the results, to get a general quantitative and qualitative feeling of the diversity in the record descriptions, to produce the appropriate advice for the collection administrators and make quality observations.
比较Europeana上下文中的元数据质量
元数据的质量影响集合的互操作性和所有搜索结果的质量,对Europeana的成功至关重要。如何在不同类型的元数据和集合上定义质量度量标准并不明显,而且许多不同的看法可能是有效的。尽管如此,元数据质量度量将帮助集合管理员检测和改进其元数据的弱点,并帮助Europeana找到在元数据质量方面问题最大的集合,并提示其管理员改进其描述。我们开发了一个自适应的定量元数据质量度量,并为Europeana Local实现了一个系统,该系统考虑了记录中不同元数据元素的重要性,以及它们所包含的值。在受控值中,它们的分布很重要,而对于自由文本值,则使用描述的长度。我们将这个指标应用到Europeana以外的集合中,为Europeana上下文中以及Europeana内外的每个单独值找到合理的预期阈值和权重,并对结果进行比较,以获得记录描述多样性的一般定量和定性感觉,从而为集合管理员提供适当的建议并进行质量观察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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