<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Amélie Anglade</AUTHOR>
		<AUTHOR>Simon Dixon</AUTHOR>
	</AUTHORS>
	<YEAR>2008</YEAR>
	<TITLE>Towards Logic-based Representations of Musical Harmony for Classification, Retrieval and Knowledge Discovery</TITLE>
	<SECONDARY_TITLE>Proceedings of the International Workshop on Machine Learning and Music (MML2008 held in conjunction with ICML/COLT/UAI 2008)</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Helsinki, Finland</PLACE_PUBLISHED>
	<DATE>July, 2008</DATE>
	<ABSTRACT>We present a logic-based framework using a relational description of musical data and logical inference for automatic characterisation of music. It is intended to be an alternative to the bag-of-frames approach for classification tasks but is also suitable for retrieval and musical knowledge discovery. We present the first results obtained with such a system using Inductive Logic Programming as inference method to characterise the Beatles and Real Book harmony. We conclude with a discussion of the knowledge representation problems we faced during these first tests.</ABSTRACT>
</RECORD>
</RECORDS></XML>