A Survey of Guidelines and Best Practices for the Generation, Interlinking, Publication, and Validation of Linguistic Linked Data

Fahad Khan; Christian Chiarcos; Thierry Declerck; Maria Pia Di Buono; Milan Dojchinovski; Jorge Gracia; Giedre Valunaite Oleskeviciene; Daniela Gifu

In: Thierry Declerck; John P. McCrae; Elena Montiel; Christian Chiarcos; Maxim Ionov (Hrsg.). Proceedings of the 8th Workshop on Linked Data in Linguistics. Workshop on Linked Data in Linguistics (LDL-2022), Revisiting a Decade of Linguistic Linked Open Data, located at 13th Language Resources and Evaluation Conference, June 24, Marseille, France, Pages 69-77, ISBN 979-10-95546-93-1, ELRA, Paris, 6/2022.


This article discusses a survey carried out within the NexusLinguarum COST Action which aimed to give an overview of existing guidelines (GLs) and best practices (BPs) in linguistic linked data. In particular it focused on four core tasks in the production/publication of linked data: generation, interlinking, publication, and validation. We discuss the importance of GLs and BPs for LLD before describing the survey and its results in full. Finally we offer a number of directions for future work in order to address the findings of the survey.


2022.ldl2022-1.9(1).pdf (pdf, 165 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence