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<Paper uid="C04-1164">
  <Title>Automated Alignment and Extraction of Bilingual Ontology for Cross-Language Domain-Specific Applications</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
4 Conclusion
</SectionTitle>
    <Paragraph position="0"> A novel approach to automated ontology alignment and domain ontology extraction from two knowledge bases is presented in this paper. In this approach, a bilingual ontology is developed from two well established language-dependent knowledge bases, WordNet and HowNet according to the co-occurrence of the words in the parallel bilingual corpus. A domain-dependent ontology is further extracted from the universal ontology using the island-driven algorithm and a domain and its contrastive corpus. In addition, domain-specific terms and axioms are also added to the domain ontology. This paper also proposed an evaluation method, benchmark and metrics, for ontology construction. Besides, we also applied the domain-specific ontology to the web page search in medical domain. The experimental results show that the proposed approach outperformed the synonym expansion approach. The overall performance of the information retrieval system is directly related to the ontology.</Paragraph>
  </Section>
class="xml-element"></Paper>