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.
De Felice, I., Tamponi, L., Iurescia, F., Passarotti, M. C., Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin, in Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy, (VENEZIA -- ITA, 30-November 01-December 2023), Accademia University Press, TORINO -- ITA 2023: 173-179. [NA] [https://hdl.handle.net/10807/258359]
Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin
Iurescia, Federica;Passarotti, Marco Carlo
2023
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.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
