<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Tidhar, D.</AUTHOR>
		<AUTHOR>Fazekas, G.</AUTHOR>
		<AUTHOR>Kolozali, S.</AUTHOR>
		<AUTHOR>Sandler, M.</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>Publishing Music Similarity Features on the Semantic Web</TITLE>
	<SECONDARY_TITLE>10th International Conference on Music Information Retrieval, Kobe, Japan</SECONDARY_TITLE>
	<DATE>26/10/2009</DATE>
	<ABSTRACT>We describe the process of collecting, organising and publishing a large set of music similarity features produced by the SoundBite 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.</ABSTRACT>
</RECORD>
</RECORDS></XML>
