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

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

Risultato della ricerca: Contributo in libroContributo a conferenza

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 originaleInglese
Titolo della pubblicazione ospiteProceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy
EditoreAccademia University Press
Pagine173-179
Numero di pagine7
ISBN (stampa)9791255000846
DOI
Stato di pubblicazionePubblicato - 2023

All Science Journal Classification (ASJC) codes

  • Informatica Generale

Keywords

  • Latin
  • Linguistic Linked Data

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