@inproceedings{kudera-etal-2024-loding,
    title = "{LOD}in{G}: Linked Open Data in the Humanities",
    author = {Kudera, Jacek  and
      Bamberg, Claudia  and
      Burch, Thomas  and
      Gernert, Folke  and
      Hinzmann, Maria  and
      Kabatnik, Susanne  and
      Moulin, Claudine  and
      Raue, Benjamin  and
      Rettinger, Achim  and
      R{\"o}pke, J{\"o}rg  and
      Schenkel, Ralf  and
      Shi-Kupfer, Kristin  and
      Schirra, Doris  and
      Sch{\"o}ch, Christof  and
      Weis, Jo{\"e}lle},
    editor = "Chiarcos, Christian  and
      Gkirtzou, Katerina  and
      Ionov, Maxim  and
      Khan, Fahad  and
      McCrae, John P.  and
      Ponsoda, Elena Montiel  and
      Chozas, Patricia Mart{\'\i}n",
    booktitle = "Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.ldl-1.7",
    pages = "49--54",
    abstract = "We are presenting LODinG {--} Linked Open Data in the Humanities (abbreviated from Linked Open Data in den Geisteswissenschaften), a recently launched research initiative exploring the intersection of Linked Open Data (LOD) and a range of areas of work within the Humanities. We focus on effective methods of collecting, modeling, linking, releasing and analyzing machine-readable information relevant to (digital) humanities research in the form of LOD. LODinG combines the sources and methods of digital humanities, general and computational linguistics, digital lexicography, German and Romance philology, translatology, cultural and literary studies, media studies, information science and law to explore and expand the potential of the LOD paradigm for such a diverse and multidisciplinary field. The project{'}s primary objectives are to improve the methods of extracting, modeling and analyzing multilingual data in the LOD paradigm; to demonstrate the application of the linguistic LOD to various methods and domains within and beyond the humanities; and to develop a modular, cross-domain data model for the humanities.",
}

We are presenting LODinG {--} Linked Open Data in the Humanities (abbreviated from Linked Open Data in den Geisteswissenschaften), a recently launched research initiative exploring the intersection of Linked Open Data (LOD) and a range of areas of work within the Humanities. We focus on effective methods of collecting, modeling, linking, releasing and analyzing machine-readable information relevant to (digital) humanities research in the form of LOD. LODinG combines the sources and methods of digital humanities, general and computational linguistics, digital lexicography, German and Romance philology, translatology, cultural and literary studies, media studies, information science and law to explore and expand the potential of the LOD paradigm for such a diverse and multidisciplinary field. The project{'}s primary objectives are to improve the methods of extracting, modeling and analyzing multilingual data in the LOD paradigm; to demonstrate the application of the linguistic LOD to various methods and domains within and beyond the humanities; and to develop a modular, cross-domain data model for the humanities.
Kudera, Jacek Bamberg, Claudia Burch, Thomas Gernert, Folke Hinzmann, Maria Kabatnik, Susanne Moulin, Claudine Raue, Benjamin Rettinger, Achim R{\"o}pke, J{\"o}rg Schenkel, Ralf Shi-Kupfer, Kristin Schirra, Doris Sch{\"o}ch, Christof Weis, Jo{\"e}lle
LODinG: Linked Open Data in the Humanities