Abstract
There is currently no agreement on common shared representations of audio features in the field of music information retrieval. The Audio Feature Ontology has been developed as part of a harmonised library of modular ontologies to solve the problem of interoperability between music related data sources. We demonstrate a software framework which combines this ontology and related Semantic Web technologies with data extraction and analysis software, in order to enhance audio feature extraction workflows.
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Allik, A., Fazekas, G., Dixon, S., Sandler, M. (2013). Facilitating Music Information Research with Shared Open Vocabularies. In: Cimiano, P., Fernández, M., Lopez, V., Schlobach, S., Völker, J. (eds) The Semantic Web: ESWC 2013 Satellite Events. ESWC 2013. Lecture Notes in Computer Science, vol 7955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41242-4_20
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DOI: https://doi.org/10.1007/978-3-642-41242-4_20
Publisher Name: Springer, Berlin, Heidelberg
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