Multilingual Ontologies for the Representation and Processing of Folktales

Thierry Declerck, Anastasija Aman, Martin Banzer, Dominik Macháček, Lisa Schäfer, Natalia Skachkova

Abstract
We describe work done in the field of folkloristics and consisting in creating ontologies based on well-established studies proposed by “classical” folklorists. This work is supporting the availability of a huge amount of digital and structured knowledge on folktales to digital humanists. The ontological encoding of past and current motif-indexation and classification systems for folktales was in the first step limited to English language data. This led us to focus on making those newly generated formal knowledge sources available in a few more languages, like German, Russian and Bulgarian. We stress the importance of achieving this multilingual extension of our ontologies at a larger scale, in order for example to support the automated analysis and classification of such narratives in a large variety of languages, as those are getting more and more accessible on the Web.
Anthology ID:
W17-8103
Volume:
Proceedings of the First Workshop on Language technology for Digital Humanities in Central and (South-)Eastern Europe
Month:
September
Year:
2017
Address:
Varna
Editors:
Anca Dinu, Petya Osenova, Cristina Vertan
Venue:
RANLP
SIG:
Publisher:
INCOMA Inc.
Note:
Pages:
20–23
Language:
URL:
http://doi.org/10.26615/978-954-452-046-5_003
DOI:
0.26615/978-954-452-046-5_003
Bibkey:
Cite (ACL):
Thierry Declerck, Anastasija Aman, Martin Banzer, Dominik Macháček, Lisa Schäfer, and Natalia Skachkova. 2017. Multilingual Ontologies for the Representation and Processing of Folktales. In Proceedings of the First Workshop on Language technology for Digital Humanities in Central and (South-)Eastern Europe, pages 20–23, Varna. INCOMA Inc..
Cite (Informal):
Multilingual Ontologies for the Representation and Processing of Folktales (Declerck et al., RANLP 2017)
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PDF:
http://doi.org/10.26615/978-954-452-046-5_003
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