Folktale similarity based on ontological abstraction

Marijn Schraagen


Abstract
This paper presents a method to compute similarity of folktales based on conceptual overlap at various levels of abstraction as defined in Dutch WordNet. The method is applied on a corpus of Dutch folktales and evaluated using a comparison to traditional folktale similarity analysis based on the Aarne–Thompson–Uther (ATU) classification system. Document similarity computed by the presented method is in agreement with traditional analysis for a certain amount of folktale pairs, but differs for other pairs. However, it can be argued that the current approach computes an alternative, data-driven type of similarity. Using WordNet instead of a domain-specific ontology or classification system ensures applicability of the method outside of the folktale domain.
Anthology ID:
2016.gwc-1.50
Volume:
Proceedings of the 8th Global WordNet Conference (GWC)
Month:
27--30 January
Year:
2016
Address:
Bucharest, Romania
Editors:
Christiane Fellbaum, Piek Vossen, Verginica Barbu Mititelu, Corina Forascu
Venue:
GWC
SIG:
SIGLEX
Publisher:
Global Wordnet Association
Note:
Pages:
355–363
Language:
URL:
https://aclanthology.org/2016.gwc-1.50
DOI:
Bibkey:
Cite (ACL):
Marijn Schraagen. 2016. Folktale similarity based on ontological abstraction. In Proceedings of the 8th Global WordNet Conference (GWC), pages 355–363, Bucharest, Romania. Global Wordnet Association.
Cite (Informal):
Folktale similarity based on ontological abstraction (Schraagen, GWC 2016)
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PDF:
https://aclanthology.org/2016.gwc-1.50.pdf