Abstract
This chapter describes the actual state of APftML (Augmented Proppian fairy tale Markup Language), which is a schema combining linguistic and domain specific annotation for supporting Cultural Heritage and Digital Humanities research, exemplified in the fairy tale domain. APftML should in particular guide automated text analysis to detect and mark up fairy tale characters and the typicalactions they are involved in, which can be subsequently queried in a corpus by both linguists and specialists in the field. The characters and actions are defined with the help of Propp’s formal analysis of folktales, which we aim to implement in a fully fledged way, contrary to existing computational resources based on his theory. Inorder to respond to current formalisation requirements APfML abstracts away from some aspects of the theory of Propp and we also discuss the integration of Proppian elements within modern semantic annotation approaches. The chapter focus on the resulting revised and extended set of narrative elements APftML is dealing with.
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Acknowledgements
The ongoing work described in this paper has been partially supported by the European FP7 Project MONNET (Multilingual Ontologies for Networked Knowledge), with Grant 248458, and by the BMBF project D-SPIN. Investigating higher-order content units such as motifs is the focus of the AMICUS project, which is supported by The Netherlands Organisation for Scientific Research (NWO).
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Declerck, T., Scheidel, A., Lendvai, P. (2011). Proppian Content Descriptors in an Integrated Annotation Schema for Fairy Tales. In: Sporleder, C., van den Bosch, A., Zervanou, K. (eds) Language Technology for Cultural Heritage. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20227-8_9
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DOI: https://doi.org/10.1007/978-3-642-20227-8_9
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