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T. Wilmering, G. Fazekas, A. Allik, and MA. B.. Sandler, "Audio Effects Data on the Semantic Web," Paper 9456, (2015 October.). doi: T. Wilmering, G. Fazekas, A. Allik, and MA. B.. Sandler, "Audio Effects Data on the Semantic Web," Paper 9456, (2015 October.). doi:
Abstract: 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.

@article{wilmering2015audio,
author={wilmering, thomas and fazekas, györgy and allik, alo and sandler, mark b.},
journal={journal of the audio engineering society},
title={audio effects data on the semantic web},
year={2015},
volume={},
number={},
pages={},
doi={},
month={october},} @article{wilmering2015audio,
author={wilmering, thomas and fazekas, györgy and allik, alo and sandler, mark b.},
journal={journal of the audio engineering society},
title={audio effects data on the semantic web},
year={2015},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}

TY - paper
TI - Audio Effects Data on the Semantic Web
SP - EP -
AU - Wilmering, Thomas
AU - Fazekas, György
AU - Allik, Alo
AU - Sandler, Mark B.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2015 TY - paper
TI - Audio Effects Data on the Semantic Web
SP - EP -
AU - Wilmering, Thomas
AU - Fazekas, György
AU - Allik, Alo
AU - Sandler, Mark B.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2015
AB - 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.