Annotating korean text documents with linked data resources

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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.
Publisher
SPRINGER
Issue Date
2014-01
Language
English
Article Type
Article
Citation

MULTIMEDIA TOOLS AND APPLICATIONS, v.68, no.2, pp.413 - 427

ISSN
1380-7501
DOI
10.1007/s11042-012-1339-y
URI
http://hdl.handle.net/10203/190198
Appears in Collection
IE-Journal Papers(저널논문)
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