<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<rss version="2.0">
  <channel>
    <title>Noyons, E.C.M.</title>
    <link>http://repub.eur.nl/res/aut/16066/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Automatic term identification for bibliometric mapping (Article)</title>
      <link>http://repub.eur.nl/res/pub/19551/</link>
      <pubDate>2010-03-01T00:00:00Z</pubDate>
      <description>A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.</description>
    </item> <item>
      <title>Automatic term identification for bibliometric mapping (Article)</title>
      <link>http://repub.eur.nl/res/pub/19808/</link>
      <pubDate>2010-02-11T00:00:00Z</pubDate>
      <description>A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.</description>
    </item> <item>
      <title>Automatic Term Identification for Bibliometric Mapping (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/14056/</link>
      <pubDate>2008-12-03T00:00:00Z</pubDate>
      <description>A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.</description>
    </item>
  </channel>
</rss>