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

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

Content Provider	ACM Digital Library
Author	Page, Kevin R. Dix, Alan Nurmikko-Fuller, Terhi Weigl, David M.
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.
Starting Page	17
Ending Page	24
Page Count	8
File Format	PDF
ISBN	9781450347518
DOI	10.1145/2970044.2970049
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-08-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Linked data Rdf Workflows Batch and live processing Performance metadata Concert ephemera
Content Type	Text
Resource Type	Article

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