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Linking Open Data Resources for Semantic Enhancement of User–Generated Content

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Semantic Technology (JIST 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7774))

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Abstract

This paper describes our experiences in developing a Linking Open Data (LOD) resource for Taiwanese Geographic Names (LOD TGN), extracting Taiwanese place names found in Facebook posts, and linking such place names to the entries in LOD TGN. The aim of this study is to enhance the semantics of User-Generated Content (UGC) through the use of LOD resources, so that for example the content of Facebook posts can be more reusable and discoverable. 9E24QThis study actually is a development of a geospatial semantic annotation method for Facebook posts through the use of LOD resources.

This research is supported in part by National Science Council of Taiwan under grant NSC 101-2119-M-001-004 (“A Semantic Web of Place Names: Gazetteers, Ontologies, and Web Services”).

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© 2013 Springer-Verlag Berlin Heidelberg

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Deng, DP., Mai, GS., Hsu, CH., Chang, CL., Chuang, TR., Shao, KT. (2013). Linking Open Data Resources for Semantic Enhancement of User–Generated Content. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds) Semantic Technology. JIST 2012. Lecture Notes in Computer Science, vol 7774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37996-3_30

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  • DOI: https://doi.org/10.1007/978-3-642-37996-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37995-6

  • Online ISBN: 978-3-642-37996-3

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