Abstract
In this paper, we describe the process of linking the corpus CLaSSES (which collects non-literary Latin texts of different periods and places) to the LiLa Knowledge Base of linguistic resources for Latin made interoperable through their publication as Linked Data. The paper details the RDF modeling of the (meta)data provided by CLaSSES and presents three queries on data from different resources that interact in LiLa.
Lingua originale | Inglese |
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Titolo della pubblicazione ospite | Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy |
Editore | Accademia University Press |
Pagine | 173-179 |
Numero di pagine | 7 |
ISBN (stampa) | 9791255000846 |
DOI | |
Stato di pubblicazione | Pubblicato - 2023 |
All Science Journal Classification (ASJC) codes
- Informatica Generale
Keywords
- Latin
- Linguistic Linked Data