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  <channel>
    <title>Diwersy, M.</title>
    <link>http://repub.eur.nl/res/aut/7154/</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>Using contextual queries (Article)</title>
      <link>http://repub.eur.nl/res/pub/10298/</link>
      <pubDate>2003-01-01T00:00:00Z</pubDate>
      <description>Search engines generally treat search requests in isolation. The results
      for a given query are identical, independent of the user, or the context
      in which the user made the request. An approach is demonstrated that
      explores implicit contexts as obtained from a document the user is
      reading. The approach inserts into an original (web) document
      functionality to directly activate context driven queries that yield
      related articles obtained from various information sources.</description>
    </item> <item>
      <title>Facilitating networks of information (Article)</title>
      <link>http://repub.eur.nl/res/pub/9537/</link>
      <pubDate>2000-01-01T00:00:00Z</pubDate>
      <description>In this paper we describe an approach to respond to a request for
          information with the identification and location of the appropriate person
          as a source of information for answering the question. The expertise of a
          person is characterized using a weighted profile that has been derived
          from a series of documents describing the expert's activities. Having
          these profiles, requests for information can be matched with these
          profiles. The best matches correspond with the people that are experts for
          providing information on the request.</description>
    </item>
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