We discuss the development of a linked data service exposing metadata about audio effect implementations. The data is collected automatically from Web sources as well as by extracting information from effect plugin binaries, and by manual data entry and correction using a Web service. Automatically generated RDF data is represented using vocabulary terms defined by the Audio Effects Ontology. A SPARQL endpoint allows for the integration of this data resource in novel audio production software and services for the classification, comparison, and recommendation of effects, taking advantage of semantic descriptors.

Authors: Wilmering, Thomas; Fazekas, György; Allik, Alo; Sandler, Mark B.
Affiliation: Queen Mary University of London, London, UK
AES Convention: 139 (October 2015) Paper Number: 9456
Publication Date: October 23, 2015 Import into BibTeX
Subject: Applications in Audio
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=18012

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