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<Paper uid="J04-2002">
  <Title>c(c) 2004 Association for Computational Linguistics Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites</Title>
  <Section position="9" start_page="175" end_page="176" type="concl">
    <SectionTitle>
6. Conclusions and Ongoing Developments
</SectionTitle>
    <Paragraph position="0"> We believe that the OntoLearn system is innovative in several respects:  1. in presenting an overall ontology development system. 2. in stressing the importance of appropriate terminology extraction to the ontology-building enterprise.</Paragraph>
    <Paragraph position="1"> 3. in avoiding a common confusion between domain terms and domain  concepts, since it performs a semantic interpretation of terms. This is indeed the strongest aspect of our method.</Paragraph>
    <Paragraph position="2">  Computational Linguistics Volume 30, Number 2 4. in presenting a new structural approach to sense classification (SSI). This method is general and has been applied to other sense disambiguation tasks, such as sense-based query expansion (Navigli and Velardi 2003) and gloss disambiguation (Gangemi, Navigli, and Velardi 2003). Ontology learning is a complex enterprise, and much is left to be done. We list here some of the drawbacks and gaps of our method, along with hints for ongoing and future developments. OntoLearn is in fact a fully active area of research within our group.</Paragraph>
  </Section>
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