When Linguistics Meets Web Technologies. Recent advances in Modelling Linguistic Linked Open Data

Tracking #: 2859-4073

This paper is currently under review
Authors: 
Fahad Khan
Christian Chiarcos
Thierry Declerck
Daniela Gifu
Elena González-Blanco García
Jorge Gracia
Max Ionov
Penny Labropoulou
Francesco Mambrini
John McCrae
Émilie Pagé-Perron
Marco Passarotti
Salvador Ros
Ciprian-Octavian Truica

Responsible editor: 
Philipp Cimiano

Submission type: 
Survey Article
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 \textit{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.
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Under Review