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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Facilitating Music Information Research with Shared Open Vocabularies
verfasst von : Alo Allik, György Fazekas, Simon Dixon, Mark Sandler
Erschienen in: The Semantic Web: ESWC 2013 Satellite Events
Verlag: Springer Berlin Heidelberg
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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.