Music Archive Metadata Processing Based on Flow Graphs

Kostek B, Czyzewski A. Music Archive Metadata Processing Based on Flow Graphs. In: AES Convention 116. Audio Engineering Society; 2004. Paper 6138. Available from: https://aes.org/publications/elibrary-page/?id=12726

@inproceedings{Kostek2004_12726,
  author = {Kostek, Bozena and Czyzewski, Andrzej},
  title = {{Music Archive Metadata Processing Based on Flow Graphs}},
  booktitle = {AES Convention 116},
  note = {Paper 6138},
  year = {2004},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12726}
}

TY  - CPAPER
TI  - Music Archive Metadata Processing Based on Flow Graphs
AU  - Kostek, Bozena
AU  - Czyzewski, Andrzej
T2  - AES Convention 116
M1  - Paper 6138
PY  - 2004
DA  - 2004/05/06
UR  - https://aes.org/publications/elibrary-page/?id=12726
PB  - Audio Engineering Society
LA  - en
AB  - The paper addresses the capabilities that should be expected from intelligent Web search tools in order to respond properly to user's music information retrieval needs. An advanced query algorithm was engineered employing a concept of inference rule derivation from flow graphs with regard to semantic data processing. This concept, introduced recently by Pawlak, is used for mining knowledge in databases. The created database searching engine utilizes knowledge acquired in advance and stored in flow graphs in order to enable searching in musical repositories. Results obtained show that employing the implemented method the resulting search matches are ranked optimally, thus metadata related to recorded sound can be retrieved efficiently with the use of this algorithm.
ER  -