Automatic Enrichment and Classification of Folktales in the Dutch Folktale Database

Theo Meder, Folgert Karsdorp, Dong Nguyen, Mariët Theune, Dolf Trieschnigg, Iwe Muiser

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)
98 Downloads (Pure)

Abstract

This paper describes the development of the Dutch Folktale Database as a digital archive of intangible heritage and a sophisticated research instrument. Current research focuses on automating the assignment of metadata to folktales and on obtaining a better understanding of classifications of folktales into types, as well as an understanding of motif sequences. These studies are useful for future fundamental research into patterns and structures, such as historical and geographical variation in oral tradition, on an international scale.
Original languageEnglish
Pages (from-to)78-96
Number of pages19
JournalThe Journal of American Folklore
Volume129
Issue number511
DOIs
Publication statusPublished - 2016

Keywords

  • Folktales
  • Databases
  • Tales
  • Contemporary legends
  • Fairy tales
  • Legends
  • Metadata
  • Machine learning
  • Folklore
  • Jokes

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