MOMFER: A Search Engine of Thompson's Motif-Index of Folk Literature

F.B. Karsdorp, Marten van der Meulen, Theo Meder, Antal van den Bosch

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgaveArtikelWetenschappelijkpeer review

15 Citaten (Scopus)


More than fifty years after the first edition of Thompson's seminal Motif-Indexof Folk Literature, we present an online search engine tailored to fully disclose the index digitally. This search engine, called MOMFER, greatly enhances the searchability of the Motif-Index and provides exciting new ways to explore the collection. This is enabled by our use of modern techniques from both natural language processing and information retrieval. The key feature of the search tool is the way in which it allows users to search the Motif-Index for semantic concepts, such as ‘mythical animals’, ‘mortality’, or ‘emotions’. This paper will explain the motivations for creating the search tool, explicate the production process, and show in a number of case studies how the search tool can be used to explore the index in innovative ways.
Originele taal-2Engels
Pagina's (van-tot)37-52
Aantal pagina's16
Nummer van het tijdschrift1
StatusGepubliceerd - 20 apr. 2015


Duik in de onderzoeksthema's van 'MOMFER: A Search Engine of Thompson's Motif-Index of Folk Literature'. Samen vormen ze een unieke vingerafdruk.

Citeer dit