Multimedia Tools and Applications

, Volume 68, Issue 2, pp 413–427 | Cite as

Annotating korean text documents with linked data resources

  • David Müller
  • Mun Yong Yi


Semantic annotation approaches link entities from a knowledge base to mentions of entities in text to provide additional content-related information. Recently increasing use of resources from the Linked Open Data (LOD) Cloud has been made to annotate text documents thanks to the network of machine-understandable, interlinked data. While existing approaches to semantic annotation in the LOD context have been proven to be well performing with the English language, many other languages in general and the Korean language in particular are still underrepresented. We investigate the applicability of existing semantic annotation approaches to the Korean language by adapting two popular approaches in the semantic annotation field and evaluating those approaches on an English-Korean bilingual sense-tagged corpus. Further, general challenges in internationalization of annotation approaches are summarized.


Semantic annotation Entity linking Linked data Korean LOD 



This research was conducted by the International Collaborative Research and Development Program (Creating Knowledge out of Interlinked Data) and funded by the Korean Ministry of Knowledge Economy.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Karlsruhe Institute of TechnologyKarlsruheGermany
  2. 2.Department of Knowledge Service EngineeringKAISTDaejeonKorea

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