<?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>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462018000401307</article-id>
<article-id pub-id-type="doi">10.13053/cys-22-4-3077</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Semi Supervised Graph Based Keyword Extraction Using Lexical Chains and Centrality Measures]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aggarwal]]></surname>
<given-names><![CDATA[Ayush]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sharma]]></surname>
<given-names><![CDATA[Chhavi]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jain]]></surname>
<given-names><![CDATA[Minni]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jain]]></surname>
<given-names><![CDATA[Amita]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Delhi Technological University  ]]></institution>
<addr-line><![CDATA[Delhi ]]></addr-line>
<country>India</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Ambedkar Institute of Advanced Communication Technologies and Research  ]]></institution>
<addr-line><![CDATA[Delhi ]]></addr-line>
<country>India</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>22</volume>
<numero>4</numero>
<fpage>1307</fpage>
<lpage>1315</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462018000401307&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462018000401307&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462018000401307&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This paper presents keyword extraction using lexical chains and graph centrality measures, derived from the semantic similarity of the words by analysis of the graphical network created using WordNet. The hypothesis is presented using a small-world approach where every paragraph in a document is constrained to a local point, while the document in all is centered on a global concept. Creating lexical chains for each paragraph and combining the best via scoring methods and graph based algorithms, we present parallels to baseline system to extract the keywords from the document.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Graph centrality]]></kwd>
<kwd lng="en"><![CDATA[keyword extraction]]></kwd>
<kwd lng="en"><![CDATA[lexical chains]]></kwd>
<kwd lng="en"><![CDATA[semantic similarity]]></kwd>
<kwd lng="en"><![CDATA[small world approach]]></kwd>
<kwd lng="en"><![CDATA[WordNet]]></kwd>
</kwd-group>
</article-meta>
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