Annotating korean text documents with linked data resources

被引：4

作者：

Mueller, David ^{[1
]}

Yi, Mun Yong ^{[2
]}

机构：

[1] Karlsruhe Inst Technol, D-76021 Karlsruhe, Germany

[2] Korea Adv Inst Sci & Technol, Dept Knowledge Serv Engn, Taejon 305701, South Korea

来源：

MULTIMEDIA TOOLS AND APPLICATIONS | 2014年 / 68卷 / 02期

关键词：

Semantic annotation; Entity linking; Linked data; Korean; LOD;

D O I：

10.1007/s11042-012-1339-y

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：413 / 427

页数：15