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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 Passarotti; Salvador Ros Muñoz; Ciprian-Octavian Truica
In: Philipp Cimiano (Hrsg.). Semantic Web Journal (SWJ), Vol. 13, No. 6, Pages 987-1050, IOS Press, 9/2022.


This article provides a comprehensive and up-to-date survey of models and vocabularies for creating linguistic linked data (LLD) focusing on the latest developments in the area and both building upon and complementing previous works covering similar territory. The article begins with an overview of some recent trends which have had a significant impact on linked data models and vocabularies. Next, we give a general overview of existing vocabularies and models for different categories of LLD resource. After which we look at some of the latest developments in community standards and initiatives, including descriptions of recent work on the OntoLex-Lemon model, a survey of recent initiatives in linguistic annotation and LLD, and a discussion of the LLD metadata vocabularies META-SHARE and lime. In the next part of the paper, we focus on the influence of projects on LLD models and vocabularies, starting with a general survey of relevant projects, before dedicating individual sections to a number of recent projects and their impact on LLD vocabularies and models. Finally, in the conclusion, we look ahead at some future challenges for LLD models and vocabularies. The appendix to the paper consists of a brief introduction to the OntoLex-Lemon model.