Linking Named Entities in Diderot's Encyclopédie to Wikidata
Nugues, Pierre LU
(2024)
Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
In 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings
p.10610-10615
- Abstract
Diderot's Encyclopédie is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. Wikipedia has the same ambition with a much greater scope. However, the lack of digital connection between the two encyclopedias may hinder their comparison and the study of how knowledge has evolved. A key element of Wikipedia is Wikidata that backs the articles with a graph of structured data. In this paper, we describe the annotation of more than 9,100 of the Encyclopédie entries with Wikidata identifiers enabling us to connect these entries to the graph. We considered geographic and human entities. The Encyclopédie does not contain biographic entries as they mostly appear as subentries of locations. We... (More)
Diderot's Encyclopédie is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. Wikipedia has the same ambition with a much greater scope. However, the lack of digital connection between the two encyclopedias may hinder their comparison and the study of how knowledge has evolved. A key element of Wikipedia is Wikidata that backs the articles with a graph of structured data. In this paper, we describe the annotation of more than 9,100 of the Encyclopédie entries with Wikidata identifiers enabling us to connect these entries to the graph. We considered geographic and human entities. The Encyclopédie does not contain biographic entries as they mostly appear as subentries of locations. We extracted all the geographic entries and we completely annotated all the entries containing a description of human entities. This represents more than 2,600 links referring to locations or human entities. In addition, we annotated more than 8,300 entries having a geographic content only. We describe the annotation process as well as application examples. This resource is available at https://github.com/pnugues/encyclopedie_1751.
(Less)
- author
- Nugues, Pierre
LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- digital humanities, entity annotation, language resources
- host publication
- 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings
- series title
- 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings
- editor
- Calzolari, Nicoletta ; Kan, Min-Yen ; Hoste, Veronique ; Lenci, Alessandro ; Sakti, Sakriani and Xue, Nianwen
- pages
- 6 pages
- publisher
- European Language Resources Association
- conference name
- Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
- conference location
- Hybrid, Torino, Italy
- conference dates
- 2024-05-20 - 2024-05-25
- external identifiers
-
- scopus:85195894586
- ISBN
- 9782493814104
- language
- English
- LU publication?
- yes
- id
- 2efa35cf-b83c-4d11-9e9f-15c9282ab9fc
- alternative location
- https://aclanthology.org/2024.lrec-main.928.pdf
- date added to LUP
- 2025-01-15 10:08:32
- date last changed
- 2025-04-04 15:15:25
@inproceedings{2efa35cf-b83c-4d11-9e9f-15c9282ab9fc,
abstract = {{<p>Diderot's Encyclopédie is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. Wikipedia has the same ambition with a much greater scope. However, the lack of digital connection between the two encyclopedias may hinder their comparison and the study of how knowledge has evolved. A key element of Wikipedia is Wikidata that backs the articles with a graph of structured data. In this paper, we describe the annotation of more than 9,100 of the Encyclopédie entries with Wikidata identifiers enabling us to connect these entries to the graph. We considered geographic and human entities. The Encyclopédie does not contain biographic entries as they mostly appear as subentries of locations. We extracted all the geographic entries and we completely annotated all the entries containing a description of human entities. This represents more than 2,600 links referring to locations or human entities. In addition, we annotated more than 8,300 entries having a geographic content only. We describe the annotation process as well as application examples. This resource is available at https://github.com/pnugues/encyclopedie_1751.</p>}},
author = {{Nugues, Pierre}},
booktitle = {{2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings}},
editor = {{Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen}},
isbn = {{9782493814104}},
keywords = {{digital humanities; entity annotation; language resources}},
language = {{eng}},
pages = {{10610--10615}},
publisher = {{European Language Resources Association}},
series = {{2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings}},
title = {{Linking Named Entities in Diderot's Encyclopédie to Wikidata}},
url = {{https://aclanthology.org/2024.lrec-main.928.pdf}},
year = {{2024}},
}