<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Renear, Allen H.</AUTHOR>
		<AUTHOR>Wickett, Karen M.</AUTHOR>
		<AUTHOR>Urban, Richard J.</AUTHOR>
		<AUTHOR>Dubin, David</AUTHOR>
		<AUTHOR>Shreeves, Sarah L.</AUTHOR>
	</AUTHORS>
	<YEAR>2008</YEAR>
	<TITLE>Collection/Item Metadata Relationships</TITLE>
	<KEYWORDS>
		<KEYWORD>metadata</KEYWORD>
		<KEYWORD>logic</KEYWORD>
		<KEYWORD>item-level</KEYWORD>
		<KEYWORD>Information Retrieval</KEYWORD>
		<KEYWORD>IMLS-DCC</KEYWORD>
		<KEYWORD>Dublin Core</KEYWORD>
		<KEYWORD>collection-level</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>Contemporary retrieval systems, which search across collections, usually ignore collection-level metadata. Alternative approaches, exploiting collection-level information, will require an understanding of the various kinds of relationships that can obtain between collection-level and item-level metadata. This paper outlines the problem and describes a project that is developing a logic-based framework for classifying collection/item metadata relationships. This framework will support (i) metadata specification developers defining metadata elements, (ii) metadata creators describing objects, and (iii) system designers implementing systems that take advantage of collection-level metadata. We present three examples of collection/item metadata relationship categories, attribute/value-propagation, value-propagation, and value-constraint and show that even in these simple cases a precise formulation requires modal notions in addition to first-order logic. These formulations are related to recent work in information retrieval and ontology evaluation.</ABSTRACT>
	<URL>http://hdl.handle.net/2142/9144</URL>
</RECORD>
</RECORDS></XML>