@inproceedings{abgaz-2020-using,
    title = "Using {O}nto{L}ex-Lemon for Representing and Interlinking Lexicographic Collections of {B}avarian Dialects",
    author = "Abgaz, Yalemisew",
    editor = "Ionov, Maxim  and
      McCrae, John P.  and
      Chiarcos, Christian  and
      Declerck, Thierry  and
      Bosque-Gil, Julia  and
      Gracia, Jorge",
    booktitle = "Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.ldl-1.9/",
    pages = "61--69",
    language = "eng",
    ISBN = "979-10-95546-36-8",
    abstract = {This paper describes the ongoing work in converting the lexicographic collection of a non-standard German language dataset (Bavarian Dialects) into a Linguistic Linked Open Data (LLOD) format. The collection is divided into two: questionnaire dataset (DB{\"O}) which contains details of the questionnaires, questions, collectors, paper slips etc., and the lexical dataset (WB{\"O}) which contains lexical entries (answers) collected in response to the questions. In its current form, the lexical dataset is available in a TEI/XML format separately from the questionnaire dataset. This paper presents the mapping of the lexical entries in the TEI/XML format into LLOD format using the Ontolex-Lemon model. The paper shows how the data in TEI/XML format is transformed into LLOD and produces a lexicon for Bavarian Dialects. It also presents the approach used to interlink the original questions with the lexical entries. The resulting lexicon complements the questionnaire dataset, which is already in a LLOD format, by semantically interlinking the original questions with the answers and vice-versa.}
}