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.
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Kang, SJ., Kang, IS. (2012). Automatic Population of Korean Information in Linking Open Data. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_47
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DOI: https://doi.org/10.1007/978-3-642-31178-9_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31177-2
Online ISBN: 978-3-642-31178-9
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