@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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T LODinG: Linked Open Data in the Humanities
%A Kudera, Jacek
%A Bamberg, Claudia
%A Burch, Thomas
%A Gernert, Folke
%A Hinzmann, Maria
%A Kabatnik, Susanne
%A Moulin, Claudine
%A Raue, Benjamin
%A Rettinger, Achim
%A Röpke, Jörg
%A Schenkel, Ralf
%A Shi-Kupfer, Kristin
%A Schirra, Doris
%A Schöch, Christof
%A Weis, Joëlle
%Y Chiarcos, Christian
%Y Gkirtzou, Katerina
%Y Ionov, Maxim
%Y Khan, Fahad
%Y McCrae, John P.
%Y Ponsoda, Elena Montiel
%Y Chozas, Patricia Martín
%S Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F kudera-etal-2024-loding
%X 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.
%U https://aclanthology.org/2024.ldl-1.7
%P 49-54
Markdown (Informal)
[LODinG: Linked Open Data in the Humanities](https://aclanthology.org/2024.ldl-1.7) (Kudera et al., LDL-WS 2024)
ACL
- Jacek Kudera, Claudia Bamberg, Thomas Burch, Folke Gernert, Maria Hinzmann, Susanne Kabatnik, Claudine Moulin, Benjamin Raue, Achim Rettinger, Jörg Röpke, Ralf Schenkel, Kristin Shi-Kupfer, Doris Schirra, Christof Schöch, and Joëlle Weis. 2024. LODinG: Linked Open Data in the Humanities. In Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024, pages 49–54, Torino, Italia. ELRA and ICCL.