<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>31</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Daniel Abril</AUTHOR>
		<AUTHOR>Guillermo Navarro-Arribas</AUTHOR>
		<AUTHOR>Vicenç Torra</AUTHOR>
	</AUTHORS>
	<YEAR>2010</YEAR>
	<TITLE>Towards privacy preserving information retrieval through semantic microaggregation</TITLE>
	<SECONDARY_TITLE>Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Toronto, Canada</PLACE_PUBLISHED>
	<PUBLISHER>IEEE</PUBLISHER>
	<VOLUME>3</VOLUME>
	<PAGES>296 - 299 </PAGES>
	<DATE>Aug. 31 2010</DATE>
	<ISBN>978-1-4244-8482-9</ISBN>
	<KEYWORDS>
		<KEYWORD>Web</KEYWORD>
		<KEYWORD>indexing</KEYWORD>
		<KEYWORD>task,classification</KEYWORD>
		<KEYWORD>task,frequency</KEYWORD>
		<KEYWORD>term</KEYWORD>
		<KEYWORD>vector,k-anonymity</KEYWORD>
		<KEYWORD>preservation,privacy</KEYWORD>
		<KEYWORD>preserving</KEYWORD>
		<KEYWORD>information</KEYWORD>
		<KEYWORD>retrieval,semantic</KEYWORD>
		<KEYWORD>microaggregation,Internet,data</KEYWORD>
		<KEYWORD>privacy,information</KEYWORD>
		<KEYWORD>retrieval,pattern</KEYWORD>
		<KEYWORD>classification,vectors</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>In this paper we introduce the problem of providing privacy preserving information for Web indexing, classification, and other information retrieval task. Web pages are represented by a frequency term vector that preserves k-anonymity for all the Web pages. This vector can then be used, for example, to build indexes of classifiers. Our proposal makes use of semantic micro aggregation.</ABSTRACT>
	<URL>http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5614556</URL>
</RECORD>
</RECORDS></XML>