Page, Kevin, Fields, Benjamin, Nagel, Bart, O'Neill, Gianni, De Roure, David and Crawford, Tim
Semantics for music researchers: How country is my country?
At International Semantic Web Conference (ISWC) 2010, , China, Singapore,
The Linking Open Data cloud contains several music related datasets that hold great potential for enhancing the process of research in the field of Music Information Retrieval (MIR) and which, in turn, can be enriched by MIR results. We demonstrate a system with several related aims: to enable MIR re- searchers to utilise these datasets through incorporation in their research systems and workflows; to publish MIR research output on the Semantic Web linked to existing datasets (thereby also increasing the size and ap- plicability of the datasets for use in MIR); and to present MIR research output, with cross-referencing to other linked data sources, for manipula- tion and evaluation by researchers and re-use within the wider Semantic Web. By way of example we gather and publish RDF describing signal col- lections 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?".
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