<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1870-9044</journal-id>
<journal-title><![CDATA[Polibits]]></journal-title>
<abbrev-journal-title><![CDATA[Polibits]]></abbrev-journal-title>
<issn>1870-9044</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Innovación y Desarrollo Tecnológico en Cómputo]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1870-90442011000100010</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Keywords Identification within Greek URLs]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vonitsanou]]></surname>
<given-names><![CDATA[Maria-Alexandra]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Kozanidis]]></surname>
<given-names><![CDATA[Lefteris]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Stamou]]></surname>
<given-names><![CDATA[Sofia]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Patras University Computer Engineering and Informatics Department ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Greece</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Patras University Computer Engineering and Informatics Department ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Greece</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Patras University Computer Engineering and Informatics Department ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Greece</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2011</year>
</pub-date>
<numero>43</numero>
<fpage>75</fpage>
<lpage>80</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1870-90442011000100010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1870-90442011000100010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1870-90442011000100010&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[In this paper we propose a method that identifies and extracts keywords within URLs, focusing on the Greek Web and especially on URLs containing Greek terms. Although there are previous works on how to process Greek online content, none of them focuses on keyword identification within URLs of the Greek web domain. In addition, there are many known techniques for web page categorization based on URLs but, none addresses the case of URLs containing transliterated Greek terms. The proposed method integrates two components; a URL tokenizer that segments URL tokens into meaningful words and a Latin-to-Greek script transliteration engine that relies on a dictionary and a set of orthographic and syntactic rules for converting Latin verbalized word tokens into Greek terms. The experimental evaluation of our method against a sample of 1,000 Greek URLs reveals that it can be fruitfully exploited towards automatic keyword identification within Greek URLs.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Greek to Latin character set transliteration]]></kwd>
<kwd lng="en"><![CDATA[Greeklish to Greek transliteration]]></kwd>
<kwd lng="en"><![CDATA[keyword extraction]]></kwd>
<kwd lng="en"><![CDATA[Uniform Resource Locator]]></kwd>
<kwd lng="en"><![CDATA[word segmentation]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  	    <p align="center"><font face="verdana" size="4"><b>Keywords Identification within Greek URLs</b></font></p> 	    <p align="center"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="center"><font face="verdana" size="2"><b>Maria&#150;Alexandra Vonitsanou<sup>1</sup>, Lefteris Kozanidis<sup>2</sup>, and Sofia Stamou<sup>3</sup></b></font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><sup><i>1</i></sup><i> Computer Engineering and Informatics Department, Patras University, 26500, Greece (e&#150;mail:</i> <a href="mailto:bonitsan@ceid.upatras.gr">bonitsan@ceid.upatras.gr</a>).</font></p> 	    <p align="justify"><font face="verdana" size="2"><sup><i>2</i></sup><i> Computer Engineering and Informatics Department, Patras University, 26500, Greece (e&#150;mail:</i> <a href="mailto:kozanid@ceid.upatras.gr">kozanid@ceid.upatras.gr</a>).</font></p> 	    <p align="justify"><font face="verdana" size="2"><sup><i>3</i></sup><i> Computer Engineering and Informatics Department, Patras University, 26500, Greece and the Department of Archives and Library Science, Ionian University, 49100, Greece (e&#150;mail: </i><a href="mailto:stamou@ceid.upatras.gr">stamou@ceid.upatras.gr</a>).</font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2">Manuscript received November 1, 2010.    ]]></body>
<body><![CDATA[<br>     Manuscript accepted for publication January 21, 2011.</font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><b>Abstract</b></font></p> 	    <p align="justify"><font face="verdana" size="2">In this paper we propose a method that identifies and extracts keywords within URLs, focusing on the Greek Web and especially on URLs containing Greek terms. Although there are previous works on how to process Greek online content, none of them focuses on keyword identification within URLs of the Greek web domain. In addition, there are many known techniques for web page categorization based on URLs but, none addresses the case of URLs containing transliterated Greek terms. The proposed method integrates two components; a URL tokenizer that segments URL tokens into meaningful words and a Latin&#150;to&#150;Greek script transliteration engine that relies on a dictionary and a set of orthographic and syntactic rules for converting Latin verbalized word tokens into Greek terms. The experimental evaluation of our method against a sample of 1,000 Greek URLs reveals that it can be fruitfully exploited towards automatic keyword identification within Greek URLs.</font></p> 	    <p align="justify"><font face="verdana" size="2"><b>Key words</b>: Greek to Latin character set transliteration, Greeklish to Greek transliteration, keyword extraction, Uniform Resource Locator, word segmentation.</font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><a href="/pdf/poli/n43/n43a10.pdf" target="_blank">DESCARGAR ART&Iacute;CULO EN FORMATO PDF</a></font></p> 	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p> 	    <p align="justify"><font face="verdana" size="2"><b>REFERENCES</b></font></p> 	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;1&#93; The size of the World Wide Web. 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