The LiLa Knowledge Base of Linguistic Resources and NLP Tools for Latin

Marco Carlo Passarotti, Flavio Massimiliano Cecchini, Greta Franzini, Eleonora Maria Gabriella Litta Modignani Picozzi, Francesco Mambrini, Paolo Ruffolo

Risultato della ricerca: Contributo in libroContributo a convegno

2 Citazioni (Scopus)

Abstract

TheLiLa: Linking Latin project was recently awarded funding from the European Research Council to build a Knowledge Base of linguistic resources for Latin. LiLa responds to the growing need in the fields of Computational Linguistics, Humanities Computing and Classics to create an interoperable ecosystem of resources and Natural Language Processing tools for Latin. To this end, LiLa makes use of Linked Open Data practices and standards to connect words to distributed textual and lexical resources via unique identifiers. In so doing, it builds rich knowledge graphs, which can be used for research and teaching purposes alike. This paper details the architecture of the LiLa Knowledge Base and presents the solutions found to address the challenges raised by populating it with a first set of linguistic resources.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 21, 2019
Pagine6-11
Numero di pagine6
Stato di pubblicazionePubblicato - 2019
Evento2nd Conference on Language, Data and Knowledge (LDK 2019) - Leipzig
Durata: 21 mag 201921 mag 2019

Serie di pubblicazioni

NomeCEUR WORKSHOP PROCEEDINGS

Convegno

Convegno2nd Conference on Language, Data and Knowledge (LDK 2019)
CittàLeipzig
Periodo21/5/1921/5/19

Keywords

  • Latin
  • Linguistic Resources
  • Linked Data

Fingerprint

Entra nei temi di ricerca di 'The LiLa Knowledge Base of Linguistic Resources and NLP Tools for Latin'. Insieme formano una fingerprint unica.

Cita questo