When linguistics meets web technologies. Recent advances in modelling linguistic linked data

  • Anas Fahad Khan*
  • , Christian Chiarcos
  • , Thierry Declerck
  • , Daniela Gifu
  • , Elena González-Blanco García
  • , Jorge Gracia
  • , Maxim Ionov
  • , Penny Labropoulou
  • , Francesco Mambrini
  • , John P. McCrae
  • , Émilie Pagé-Perron
  • , Marco Carlo Passarotti
  • , Salvador Ros Muñoz
  • , Ciprian-Octavian Truică
  • *Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

This article provides an up-to-date and comprehensive survey of models (including vocabularies, taxonomies and ontologies) used for representing linguistic linked data (LLD). It focuses on the latest developments in the area and both builds upon and complements previous works covering similar territory. The article begins with an overview of recent trends which have had an impact on linked data models and vocabularies, such as the growing influence of the FAIR guidelines, the funding of several major projects in which LLD is a key component, and the increasing importance of the relationship of the digital humanities with LLD. Next, we give an overview of some of the most well known vocabularies and models in LLD. After this we look at some of the latest developments in community standards and initiatives such as OntoLex-Lemon as well as recent work which has been in carried out in corpora and annotation and LLD including a discussion of the LLD metadata vocabularies META-SHARE and lime and language identifiers. In the following part of the paper we look at work which has been realised in a number of recent projects and which has a significant impact on LLD vocabularies and models.
Lingua originaleInglese
pagine (da-a)987-1050
Numero di pagine64
RivistaSemantic Web
Volume13
Numero di pubblicazione6
DOI
Stato di pubblicazionePubblicato - 2022

All Science Journal Classification (ASJC) codes

  • Sistemi Informativi
  • Informatica Applicata
  • Reti e Comunicazioni Informatiche

Keywords

  • FAIR principles
  • Language resources
  • Linguistic Linked Open Data
  • Semnatic web

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