In Collaboration with In Concert: Reflecting a Digital Library as Linked Data for Performance Ephemera

Terhi Nurmikko-Fuller, A. Dix, David M. Weigl, Kevin R. Page
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引用次数: 14

Abstract

Diverse datasets in the area of Digital Musicology expose complementary information describing works, composers, performers, and wider historical and cultural contexts. Interlinking across such datasets enables new digital methods of scholarly investigation. Such bridging presents challenges when working with legacy tabular or relational datasets that do not natively facilitate linking and referencing to and from external sources. Here, we present pragmatic approaches in turning such legacy datasets into linked data. InConcert is a research collaboration exemplifying these approaches. In this paper, we describe and build on this resource, which is comprised of distinct digital libraries focusing on performance data and on concert ephemera. These datasets were merged with each other and opened up for enrichment from other sources on the Web via conversion to RDF. We outline the main features of the constituent datasets, describe conversion workflows, and perform a comparative analysis. Our findings provide practical recommendations for future efforts focused on exposing legacy datasets as linked data.
与In Concert合作:反映数字图书馆作为表演蜉蝣的关联数据
数字音乐学领域的不同数据集揭示了描述作品、作曲家、表演者和更广泛的历史和文化背景的互补信息。这些数据集之间的相互连接使学术调查的新数字方法成为可能。当使用传统的表格或关系数据集时,这种桥接提出了挑战,这些数据集本身不便于与外部源的链接和引用。在这里,我们提出了将这些遗留数据集转化为关联数据的实用方法。InConcert是一个研究合作项目,它体现了这些方法。在本文中,我们描述并建立了这个资源,它由不同的数字图书馆组成,重点关注表演数据和音乐会的短暂性。这些数据集相互合并,并通过转换为RDF,从Web上的其他数据源中获得丰富内容。我们概述了组成数据集的主要特征,描述了转换工作流,并进行了比较分析。我们的发现为未来将遗留数据集暴露为关联数据的工作提供了实用的建议。
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