S. Abdallah, Y. Raimond, and M. Sandler, “An Ontology-based Approach to Information Management for Music Analysis Systems,” in Proc. AES Convention 120, May 2006, Paper 6770. [Online]. Available: https://aes.org/publications/elibrary-page/?id=13574
Abdallah S, Raimond Y, Sandler M. An Ontology-based Approach to Information Management for Music Analysis Systems. In: AES Convention 120. Audio Engineering Society; 2006. Paper 6770. Available from: https://aes.org/publications/elibrary-page/?id=13574
@inproceedings{Abdallah2006_13574,
author = {Abdallah, Samer and Raimond, Yves and Sandler, Mark},
title = {{An Ontology-based Approach to Information Management for Music Analysis Systems}},
booktitle = {AES Convention 120},
note = {Paper 6770},
year = {2006},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=13574}
}
TY - CPAPER
TI - An Ontology-based Approach to Information Management for Music Analysis Systems
AU - Abdallah, Samer
AU - Raimond, Yves
AU - Sandler, Mark
T2 - AES Convention 120
M1 - Paper 6770
PY - 2006
DA - 2006/05/06
UR - https://aes.org/publications/elibrary-page/?id=13574
PB - Audio Engineering Society
LA - en
AB - We describe an information management system which addresses the needs of music analysis projects, providing a logic-based knowledge representation scheme for the many types of object in the domains of music and signal processing, including musical works and scores, performance events, human agents, signals, analysis functions, and analysis results. The system is implemented using logic-programming and semantic web technologies, and provides a shareable resource for use in a laboratory environment. The whole is driven from a Prolog command line, where the use of Matlab as a computational engine enables experiments to be designed and run with the results being automatically stored and indexed into the information structure. We present as a case-study an experiment in automatic music segmentation.
ER -