Semantics for Music Analysis through Linked Data: How Country is My Country?

Abstract

We present a proof-of-concept system that demonstrates the utility of linked data for enhancing the application of Music Information Retrieval (MIR) workflows, both when curating collections of music signal data for analysis, and publishing results that can be simply and readily correlated to these, and other, collection sets and Linked Data sources. The system includes: linked data implementations of a signal repository, collection builder, and results explorer, an extension to the my Experiment workflow sharing environment to include Meandre workflows, and support within my Experiment and Meandre to retrieve and persist resources from the linked data repositories. By way of example we gather and publish RDF describing signal collections derived from the country of an artist. Genre analysis over these collections and integration of collection and result metadata enables us to ask: "how country is my country?".