Knowledge Representation Issues in Audio-Related Metadata Model Design

Fazekas G, Sandler MB. Knowledge Representation Issues in Audio-Related Metadata Model Design. In: AES Convention 133. Audio Engineering Society; 2012. Paper 8765. Available from: https://aes.org/publications/elibrary-page/?id=16507

@inproceedings{Fazekas2012_16507,
  author = {Fazekas, György and Sandler, Mark B.},
  title = {{Knowledge Representation Issues in Audio-Related Metadata Model Design}},
  booktitle = {AES Convention 133},
  note = {Paper 8765},
  year = {2012},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16507}
}

TY  - CPAPER
TI  - Knowledge Representation Issues in Audio-Related Metadata Model Design
AU  - Fazekas, György
AU  - Sandler, Mark B.
T2  - AES Convention 133
M1  - Paper 8765
PY  - 2012
DA  - 2012/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16507
PB  - Audio Engineering Society
LA  - en
AB  - In order for audio applications to interoperate, some agreement on how information is structured and encoded has to be in place within developer and user communities. This agreement can take the form of an industry standard or a widely adapted open framework consisting of conceptual data models expressed using formal description languages. There are several viable approaches to conceptualize audio related metadata, and several ways to describe the conceptual models, as well as encode and exchange information. While emerging standards have already been proven invaluable in audio information management, it remains difficult to design or choose the model that is most appropriate for an application. This paper facilitates this process by providing an overview, focusing on differences in conceptual models underlying audio metadata schemata.
ER  -