<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>0</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Dónal Doyle</AUTHOR>
		<AUTHOR>John Loughrey</AUTHOR>
		<AUTHOR>Conor Nugent</AUTHOR>
		<AUTHOR>Lorcan Coyle</AUTHOR>
		<AUTHOR>Pádraig Cunningham</AUTHOR>
	</AUTHORS>
	<YEAR>2004</YEAR>
	<TITLE>FIONN: A Framework for Developing CBR Systems</TITLE>
	<SECONDARY_TITLE>Expert Update</SECONDARY_TITLE>
	<VOLUME>8</VOLUME>
	<NUMBER>1</NUMBER>
	<PAGES>11-14</PAGES>
	<DATE>06/2005</DATE>
	<KEYWORDS>
		<KEYWORD>case</KEYWORD>
		<KEYWORD>based</KEYWORD>
		<KEYWORD>reasoning,</KEYWORD>
		<KEYWORD>fionn,</KEYWORD>
		<KEYWORD>machine</KEYWORD>
		<KEYWORD>learning</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>We introduce the Fionn framework for developing CBR systems. We outline the evaluation framework that underpins the feature selection and similarity learning process and we present a brief description of the Explanation-Guided Retrieval mechanism in Fionn. </ABSTRACT>
</RECORD>
</RECORDS></XML>
