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http://dx.doi.org/10.9708/jksci.2012.17.8.021

Ontology-based Machine Translation Mashup System for Public Information  

Oh, Kyeong-Jin (Dept. of Computer and Information Engineering, Inha University)
Kwon, Kee-Young (Dept. of Computer and Information Engineering, Inha University)
Hong, Myung-Duk (Dept. of Computer and Information Engineering, Inha University)
Jo, Geun-Sik (Dept. of Computer and Information Engineering, Inha University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.8, 2012 , pp. 21-29 More about this Journal
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.
Keywords
Ontology; Public Information; Mashup system;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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