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Publishing Music Similarity Features on the Semantic Web.

Tidhar, D., Fazekas, G., Kolozali, S. and Sandler, M. (2009). Publishing Music Similarity Features on the Semantic Web.. Paper presented at the 10th International Society for Music Information Retrieval Conference, ISMIR 2009, 26 - 30 Oct 2009, Kobe, Japan.

Abstract

We describe the process of collecting, organising and publishing a large set of music similarity features produced by the SoundBite [10] playlist generator tool. These data can be a valuable asset in the development and evaluation
of new Music Information Retrieval algorithms. They can also be used in Web-based music search and retrieval applications. For this reason, we make a database of features available on the Semantic Web via a SPARQL end-point,
which can be used in Linked Data services. We provide examples of using the data in a research tool, as well as in a simple web application which responds to audio queries and finds a set of similar tracks in our database.

Publication Type: Conference or Workshop Item (Paper)
Subjects: M Music and Books on Music > M Music
Departments: School of Arts & Social Sciences > Music
URI: http://openaccess.city.ac.uk/id/eprint/4349
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