@inproceedings{schraagen-2016-folktale,
    title = "Folktale similarity based on ontological abstraction",
    author = "Schraagen, Marijn",
    editor = "Fellbaum, Christiane  and
      Vossen, Piek  and
      Mititelu, Verginica Barbu  and
      Forascu, Corina",
    booktitle = "Proceedings of the 8th Global WordNet Conference (GWC)",
    month = "27--30 " # jan,
    year = "2016",
    address = "Bucharest, Romania",
    publisher = "Global Wordnet Association",
    url = "https://preview.aclanthology.org/ingest-emnlp/2016.gwc-1.50/",
    pages = "355--363",
    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."
}