Audio Effects Data on the Semantic Web

Wilmering T, Fazekas G, Allik A, Sandler MB. Audio Effects Data on the Semantic Web. In: AES Convention 139. Audio Engineering Society; 2015. Paper 9456. Available from: https://aes.org/publications/elibrary-page/?id=18012

@inproceedings{Wilmering2015_18012,
  author = {Wilmering, Thomas and Fazekas, György and Allik, Alo and Sandler, Mark B.},
  title = {{Audio Effects Data on the Semantic Web}},
  booktitle = {AES Convention 139},
  note = {Paper 9456},
  year = {2015},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18012}
}

TY  - CPAPER
TI  - Audio Effects Data on the Semantic Web
AU  - Wilmering, Thomas
AU  - Fazekas, György
AU  - Allik, Alo
AU  - Sandler, Mark B.
T2  - AES Convention 139
M1  - Paper 9456
PY  - 2015
DA  - 2015/10/06
UR  - https://aes.org/publications/elibrary-page/?id=18012
PB  - Audio Engineering Society
LA  - en
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.
ER  -