Korean NLP2RDF Resources
Younggyun Hahm, KyungTae Lim, Jungyeul Park, Yoon Yongun, Key‐Sun Choi · International Conference on Computational Linguistics · 2012
The aim of Linked Open Data (LOD) is to improve information management and integration by enhancing accessibility to the existing various forms of open data. The goal of this paper is to make Korean resources linkable entities. By using NLP tools, which are suggested in this paper, Korean texts are converted to RDF resources and they can be connected with other RDF triples. It is worth noticing that to the best of our knowledge there is a few of publicy available Korean NLP tools. For this reason, the Korean NLP platform presented here will be available as open source. And it is shown in this paper that the result of this NLP platform can be used as Linked Data entities.