Linking Named Entities in Diderot's \textit{Encyclop\'edie} to Wikidata
–arXiv.org Artificial Intelligence
Diderot's \textit{Encyclop\'edie} is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. \textit{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 \textit{Wikipedia} is Wikidata that backs the articles with a graph of structured data. In this paper, we describe the annotation of more than 10,300 of the \textit{Encyclop\'edie} entries with Wikidata identifiers enabling us to connect these entries to the graph. We considered geographic and human entities. The \textit{Encyclop\'edie} 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 9,500 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
arXiv.org Artificial Intelligence
Jun-5-2024
- Country:
- Africa (0.04)
- Asia (0.04)
- Europe
- France > Auvergne-Rhône-Alpes
- Greece (0.05)
- Italy (0.05)
- North Macedonia (0.04)
- Sweden > Skåne County
- Lund (0.04)
- United Kingdom > Wales (0.04)
- North America > United States
- Illinois > Cook County
- Chicago (0.04)
- Minnesota > Hennepin County
- Minneapolis (0.04)
- New York > New York County
- New York City (0.04)
- Illinois > Cook County
- Genre:
- Research Report (0.64)
- Technology: