Linking the Corpus CLaSSES to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin

Irene De Felice, Lucia Tamponi, Federica Iurescia, Marco Carlo Passarotti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy
Pages173-179
Number of pages7
Publication statusPublished - 2023
EventCLiC-it 2023: 9th Italian Conference on Computational Linguistics - VENEZIA -- ITA
Duration: 30 Nov 20231 Dec 2023

Conference

ConferenceCLiC-it 2023: 9th Italian Conference on Computational Linguistics
CityVENEZIA -- ITA
Period30/11/231/12/23

Keywords

  • Latin
  • Linguistic Linked Data

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