Automatic population of korean information in linking open data

  • Authors:
  • Shin-Jae Kang;In-Su Kang

  • Affiliations:
  • School of Computer and Information Technology, Daegu University, Gyeonsan, Gyeongbuk, South Korea;School of Computer Science & Engineering, Kyungsung University, Pusan, South Korea

  • Venue:
  • NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
  • Year:
  • 2012

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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.