使用关联数据源增强目录发现

Huda J. Khan, Claire DeMarco, Christine Fernsebner Eslao, Steven Folsom, Jason Kovari, Simeon Warner, Tim Worrall, Astrid Usong
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引用次数: 2

摘要

我们的研究探讨了链接数据源和非图书馆元数据如何支持图书馆资源的开放式发现。我们还考虑了哪些实验方法最适合图书馆目录系统的改进。我们概述了推动我们使用关联数据进行发现实验的问题,总结了我们的一些可用性发现,以及我们的设计和实现方法。此外,我们在图书馆编目和策展实践的更大框架内讨论我们的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Linked Data Sources to Enhance Catalog Discovery
Our research explores how linked data sources and non-library metadata can support open-ended discovery of library resources. We also consider which experimental methods are best suited to the improvement of library catalog systems. We provide an overview of the questions driving our discovery experiments with linked data, a summary of some of our usability findings, as well as our design and implementation approach. In addition, we situate the discussion of our work within the larger framework of library cataloging and curation practices.
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