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    <title>Vlaanderen, M.J.</title>
    <link>http://repub.eur.nl/res/aut/19200/</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>Het zoeken van wetenschappelijke informatie op internet (Internal Report)</title>
      <link>http://repub.eur.nl/res/pub/16113/</link>
      <pubDate>2001-01-01T00:00:00Z</pubDate>
      <description>Internet heeft in 2000 de miljardste site binnengehaald. Er is geen sprake van enige structuur, conformiteit, of iets anders dat anderszins ons houvast kan geven als we informatie van het World Wide Web wille halen. Chaos is de beste omschrijving.
Toch is het redelijk mogelijk een weg te vinden in die chaos, als we maar de juiste hulpmiddelen gebruiken. In deze studie zijn die hulpmiddelen onderzocht. Er is niet getracht uitgebreide overzichten van zoekmachines, bronnenlijsten, e.d. te geven; deze zijn elders in overvloed aanwezig.</description>
    </item> <item>
      <title>Knowledge Management at Cap Gemini Nederland (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/16114/</link>
      <pubDate>1998-01-01T00:00:00Z</pubDate>
      <description>The theme of this paper is knowledge management (KM) at an organization that provides information technology (IT) services. It is based on the results of a KM-survey of the Finance Division of Cap Gemini (CG) conducted during the spring of 1997.</description>
    </item> <item>
      <title>The Mismatch between Human and Machine Knowledge (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/16116/</link>
      <pubDate>1994-01-01T00:00:00Z</pubDate>
      <description>In a previous paper (Vlaanderen 1990), I have tried to show the problems that are involved in knowledge acquisition. The transfer between human knowledge and knowledge nases for expert systems seems to be a fundamental and also a difficult proces in knowledge ingineering. Feigenbaum (1977) gave his name to this problem. Feigenbaum's Bottleneck.</description>
    </item> <item>
      <title>Automated Knowledge Acquisition for Expert Systems: an overview (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/16117/</link>
      <pubDate>1990-01-01T00:00:00Z</pubDate>
      <description>An expert system can be defined as a computer program which uses artificial intelligence techniques to perform or to guide a task that a human expert can do.
Feigenbaum (1977) shifts the amphasis from techniques and formalisms to the knowledge that an expert system contains. The expert knowledge seems to be a necessary and a nearly sufficient condition for developing an expert system (Hays-Roth et all 1983, p. 7).
It seems to be clear that the acquisition of this knowledge as a technique (or is it still an art?) is an important field of study within the knowledge-engineering process.</description>
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