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:
- 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)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2016.gwc-1.50.pdf