@inproceedings{declerck-olsen-2023-linked,
    title = "Linked Open Data compliant Representation of the Interlinking of {N}ordic Wordnets and Sign Language Data",
    author = "Declerck, Thierry  and
      Olsen, Sussi",
    editor = "Ilinykh, Nikolai  and
      Morger, Felix  and
      Dann{\'e}lls, Dana  and
      Dobnik, Simon  and
      Megyesi, Be{\'a}ta  and
      Nivre, Joakim",
    booktitle = "Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023)",
    month = may,
    year = "2023",
    address = "T{\'o}rshavn, the Faroe Islands",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.resourceful-1.9/",
    pages = "62--69",
    abstract = "We present ongoing work dealing with a Linked Open Data (LOD) compliant representation of Sign Language (SL) data, with the goal of supporting the cross-lingual linking of SL data, also to Spoken Language data. As the European EASIER research project has already investigated the use of Open Multilingual Wordnet (OMW) datasets for cross-linking German and Greek SL data, we propose a unified RDF-based representation of OMW and SL data. In this context, we experimented with the transformation into RDF of a rich dataset, which links Danish Sign Language data and the wordnet for Danish, DanNet. We extend this work to other Nordic languages, aiming at supporting cross-lingual comparisons of Nordic Sign Languages. This unified formal representation offers a semantic repository of information on SL data that could be accessed for supporting the creation of datasets for training or evaluating NLP applications that involve SLs."
}