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Automatic Population of Korean Information in Linking Open Data

  • Shin-Jae Kang
  • In-Su Kang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7337)

Abstract

This paper presents an automatic populating method which adds non-English factual information into Linking Open Data (LOD). Unlike previous approaches, we extract semantic data from non-structured information, i.e. sentences, and use WordNet to link resources in the semantic data to the ones in DBpedia. The techniques of cross-lingual link discovery and hedge detection are used to select factual information to be added into LOD.

Keywords

Hedge Detection Cross-lingual Link Discovery Linking Open Data QA System 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Shin-Jae Kang
    • 1
  • In-Su Kang
    • 2
  1. 1.School of Computer and Information TechnologyDaegu UniversityGyeonsanSouth Korea
  2. 2.School of Computer Science & EngineeringKyungsung UniversityPusanSouth Korea

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