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Linked Open Data (LOD) for Library Special Collections

机译:图书馆特藏的链接开放数据(LOD)

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The richness of legacy metadata describing items in library special collections can be an asset when these collections are digitized. Transforming legacy metadata into formats that are Linked Open Data (LOD) friendly, maximizes metadata value and better integrates digital library collections into the emerging Semantic Web. This poster details experience with mapping Dublin-Core-based metadata into the Resource Description Framework (RDF) using Schema.org vocabulary, summarizes challenges encountered and illutrates how such transformations enable additional functionality. Connections into the Semantic Web are enhanced by making item descriptions more accessible to LOD- consuming applications (e.g., Google Structured Data Testing Tool) and enabling the consumption of related LOD resources, thereby enhancing context for users of the collection. The results described here are incomplete but encouraging, suggesting user benefits and illuminating new workflows to explore and develop.
机译:当这些特殊收藏集被数字化时,描述这些图书馆特殊收藏集中的项目的大量旧元数据可以成为一项资产。将旧的元数据转换为友好的链接开放数据(LOD)格式,最大化元数据价值,并将数字图书馆馆藏更好地集成到新兴的语义Web中。该海报详细介绍了使用Schema.org词汇表将基于都柏林核心元数据映射到资源描述框架(RDF)中的经验,总结了遇到的挑战并阐明了此类转换如何实现附加功能。可以通过使使用LOD的应用程序(例如Google结构化数据测试工具)更容易访问项目描述,并启用相关LOD资源的使用,从而增强与语义网的连接,从而增强集合用户的上下文。这里描述的结果是不完整的,但令人鼓舞,暗示了用户的利益并阐明了要探索和开发的新工作流程。

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