Porting past Classification Schemes for Narratives to a Linked Data Framework

Thierry Declerck, Lisa Schäfer

In: Apostolos Antonacopoulos , Marco Büchler (Hrsg.). Proceedings of DATeCH2017. Digital Access to Textual Cultural Heritage (DATeCH-2017) June 1-2 Göttingen Germany ACM 6/2017.


In this paper we give an overview on a number of achieved and on-going efforts dealing with porting to the Linked Data framework electronic versions of past classification schemes in the field of folktale narratives. Three of those schemes are in the field of folktales, including: (1) the work by Vladimir Propp on the Morphology of the Folktale, (2) the Stith Thompson’s Motif-Index of Folk-Literature, and (3) the Aarne-Thompson-Uther classification system of types of international folktales. We are recently also considering the work by Georges Polti on categorizing the dramatic situations ("The thirty-six Dramatic Situations"), enlarging thus our focus on folktales to other literary genres. Our aim is primarily to make those past schemes available in a formal representation system – implemented as a set of integrated OWL ontologies – in order to transform them in machinereadable data sets. This way, we are additionally supporting a crosslinking of distinct elements included in those influential classification schemes, and we are also able to populate the resulted integrated ontology with (elements of) stories.

porting-past-classification-14.pdf (pdf, 799 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence