84323 20201022135733.0 doi 10.1017/S1351324918000347 sideral 108649 ART-2018-108649 eng Bosque-Gil, J. Models to represent linguistic linked data 2018 Access copy available to the general public Unrestricted As the interest of the Semantic Web and computational linguistics communities in linguistic linked data (LLD) keeps increasing and the number of contributions that dwell on LLD rapidly grows, scholars (and linguists in particular) interested in the development of LLD resources sometimes find it difficult to determine which mechanism is suitable for their needs and which challenges have already been addressed. This review seeks to present the state of the art on the models, ontologies and their extensions to represent language resources as LLD by focusing on the nature of the linguistic content they aim to encode. Four basic groups of models are distinguished in this work: models to represent the main elements of lexical resources (group 1), vocabularies developed as extensions to models in group 1 and ontologies that provide more granularity on specific levels of linguistic analysis (group 2), catalogues of linguistic data categories (group 3) and other models such as corpora models or service-oriented ones (group 4). Contributions encompassed in these four groups are described, highlighting their reuse by the community and the modelling challenges that are still to be faced. info:eu-repo/grantAgreement/ES/MEC-MINECO/TIN2013-46238-C4-2-R info:eu-repo/grantAgreement/ES/MINECO/TIN2015-68955-REDT info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.13 2018 LINGUISTICS 68 / 182 = 0.374 2018 Q2 T2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 103 / 133 = 0.774 2018 Q4 T3 0.315 2018 Artificial Intelligence 2018 Q2 Software 2018 Q2 Linguistics and Language 2018 Q2 Language and Linguistics 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Gracia, J. Universidad de Zaragoza Montiel-Ponsoda, E. Gómez-Pérez, A. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 24, 6 (2018), 811-859 NATURAL LANGUAGE ENGINEERING NATURAL LANGUAGE ENGINEERING 1351-3249 437171 http://zaguan.unizar.es/record/84323/files/texto_completo.pdf Postprint 71584 http://zaguan.unizar.es/record/84323/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:84323 articulos driver 2020-10-22-13:49:51 ARTICLE