Audio commons ontology: A data model for an audio content ecosystem

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Abstract

Multiple online services host repositories of audio clips of different kinds, ranging from music tracks, albums, playlists, to instrument samples and loops, to a variety of recorded or synthesized sounds. Programmatic access to these resources maybe used by client applications for tasks ranging from customized musical listening and exploration, to music/sounds creation from existing sounds and samples, to audio-based user interaction in apps and games. We designed an ontology to facilitate interoperability between repositories and clients in this domain. There was no previous comprehensive data model for our domain, however the new ontology relates to existing ontologies, such as the Functional Requirements for Bibliographic Records for the authoring and publication process of creative works, the Music Ontology for the authoring and publication of music, the EBU Core ontology to describe media files and formats and the Creative Commons Licensing ontology to describe licences. This paper documents the design of the ontology and its evaluation with respect to specific requirements gathered from stakeholders.

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APA

Ceriani, M., & Fazekas, G. (2018). Audio commons ontology: A data model for an audio content ecosystem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11137 LNCS, pp. 20–35). Springer Verlag. https://doi.org/10.1007/978-3-030-00668-6_2

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