A Linked research network that is transforming Musicology
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Nurmikko-Fuller, Terhi
Page, Kevin R.
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Abstract
Semantic Web technologies offer solutions for bridging discrete and even disparate datasets. Linked Data has been seen in several Digital Humanities projects, but through the alignment of instance-level entities rather than the capture of workflows, which have yet to become part of the publication paradigm for reporting on completed research. In this paper, we assess the functional requirements of digital Musicology research questions, and propose ways for using the inherent semantics of workflow descriptions alongside instance data to link them. We report on the design of a linked research network for Musicology.
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CEUR Workshop Proceedings
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