<?xml version="1.0" standalone="yes"?>
<Paper uid="W04-1110">
  <Title>Automated Alignment and Extraction of Bilingual Domain Ontology for Medical Domain Web Search</Title>
  <Section position="5" start_page="0" end_page="0" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper has presented an approach to automated ontology alignment and domain ontology extraction from two knowledge bases. In this approach, a bilingual ontology is developed using a corpus-based statistical approach from two well established language-dependent knowledge bases, WordNet and HowNet. A domain-dependent ontology is further extracted from the universal ontology using the island-driven algorithm and a domain corpus. In addition, domain-specific terms and axioms are also added into the domain ontology.</Paragraph>
    <Paragraph position="1"> We have applied the domain-specific ontology to the web page search in medical domain. The experimental results show that the proposed approach outperformed the keyword-based and synonym expansion approaches.</Paragraph>
  </Section>
class="xml-element"></Paper>