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<Paper uid="E91-1042">
  <Title>Modelling Knowledge for a Natural Language Understanding System</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> In the following, we wmlt to sketch first results of knowledge engineering research which was undertaken for the LILOG project (Linguistic and logic methods). LILOG develops concepts for natural language systems for text understanding. Major reslflts are available in a prototype system LEU/21 (I, ILOG Experimentier- Umgebung) 2.</Paragraph>
    <Paragraph position="1"> In order to reduce the complexity of the system, it has to be decomposed into modules.</Paragraph>
    <Paragraph position="2"> ! Leu/2 is being developped at IBM Germany in cooperslion with some unlveralty partners, and il fully implemented in Prolog under AIX. The knowledge ba,e for the domain under investigation consists of about 600 concept definitions, among these some 100 belonging to the upper ltructure.</Paragraph>
    <Paragraph position="3"> The number of attributes for each of these concepts everages around 20. At thlJ time the number of axioms for our domain it approximately 300.</Paragraph>
  </Section>
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