Publishing Music Similarity Features on the Semantic Web.

Tidhar, D., Fazekas, G., Kolozali, S. & 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.

[img]
Preview
PDF - Accepted Version
Download (629kB) | Preview

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: M Music and Books on Music > M Music
Divisions: School of Arts > Department of Creative Practice & Enterprise - Centre for Music Studies
URI: http://openaccess.city.ac.uk/id/eprint/4349

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics