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Ontology-based Machine Translation Mashup System for Public Information

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(8), pp.21-29
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

오경진 1 권기영 1 Myungduk Hong 1 JO GEUN SIK 1

1인하대학교

Accredited

ABSTRACT

We have proposed an ontology-based translation mashup system for foreigner to enjoy Korean cultural information without any language barrier(linguistic problem). In order to utilize public information, we use a mobile public information open API of Seoul metropolitan city. Google AJAX language API is used for translations of public information. We apply an ontology to minimize errors caused by the translations. For ontology modeling, we analyze the public information domain and define classes, relations and properties of cultural vocabulary ontology. We generate ontology instances for titles, places and sponsors which are the most frequently occurring translation errors. We compare the accuracy of translations through our experiment. Through the experimental results using the proposed ontology-based translation mashup system, we verify the validity of the system.

Citation status

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