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<Paper uid="C02-1162">
  <Title>Identifying Concepts Across Languages: A First Step towards a Corpus-based Approach to Automatic Ontology Alignment</Title>
  <Section position="9" start_page="0" end_page="0" type="concl">
    <SectionTitle>
9 Conclusion
</SectionTitle>
    <Paragraph position="0"> This paper represents a first step towards a corpus-based approach for cross-lingual identification of word concepts and alignment of ontologies. The method borrows from techniques used in machine translation and information retrieval, and does not make any assumptions about the structure of the ontology, or use any but the most basic structural information. Therefore it is capable of performing alignments across ontologies of vastly different structure. In addition, our method does not require the use of parallel or even comparable corpora, making the task of data acquisition far easier.</Paragraph>
    <Paragraph position="1"> We demonstrate the effectiveness of our method by performing a partial mapping of HowNet and WordNet, two very different ontologies from very different languages. Our method is successful at mapping a number of HowNet definitions -- including some fairly difficult ones -- to the correct WordNet synsets.</Paragraph>
  </Section>
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