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Towards Linked Language Data for Digital Humanities

  • Thierry Declerck
  • Piroska Lendvai
  • Karlheinz Mörth
  • Gerhard Budin
  • Tamás Váradi

Abstract

We investigate the extension of classification schemes in the Humanities into semantic data repositories, the benefits of which could be the automation of so far manually conducted processes, such as detecting motifs in folktale texts. In parallel, we propose linguistic analysis of the textual labels used in these repositories. The resulting resource, which we propose to publish in the Linked Open Data (LOD) framework, will explicitly interlink domain knowledge and linguistically enriched language data, which can be used for knowledge-driven content analysis of literary works.

Keywords

Machine Translation Literary Work Semantic Annotation Linguistic Information Link Open Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Declerck T, Lendvai P (2010) Towards a standardized linguistic annotation of the textual content of labels in knowledge representation systems. In: Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC’10), Valetta, Malta Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Thierry Declerck
    • 1
  • Piroska Lendvai
  • Karlheinz Mörth
  • Gerhard Budin
  • Tamás Váradi
  1. 1.DFKI GmbHSaarbrückenGermany

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