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.
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References
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Declerck, T., Lendvai, P., Mörth, K., Budin, G., Váradi, T. (2012). Towards Linked Language Data for Digital Humanities. In: Chiarcos, C., Nordhoff, S., Hellmann, S. (eds) Linked Data in Linguistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28249-2_11
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DOI: https://doi.org/10.1007/978-3-642-28249-2_11
Publisher Name: Springer, Berlin, Heidelberg
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