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Publikation

Proceedings of the 8th Workshop on Linked Data in Linguistics

Thierry Declerck; John P. McCrae; Elena Montiel; Christian Chiarcos; Maxim Ionov (Hrsg.)
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, ISBN 979-10-95546-93-1, ELRA, Paris, 6/2022.

Zusammenfassung

This volume documents the Proceedings of the 8th Workshop on Workshop on Linked Data in Linguistics, held on Friday teh 24th of June as part of the LREC 2022 conference (International Conference on Language Resources and Evaluation). Since its inception, the workshop series on Linked Data in Linguistics (LDL) established itself as the main venue for discussing how Linked Open Data (LOD) and semantic web technologies can be used for processing, analysing, publishing, and managing linguistic data. This includes the fields of natural language processing (NLP), language resources (LRs), lexicography and digital humanities (DH), and has been leading to the development of linguistic data science as a new area of study. The LDL workshop series has contributed greatly to the development of the Linguistic Linked Open Data (LLOD) cloud and the development of best practices for publishing and accessing language resources and providing language technology services on the web. Most notably, this includes community standards such as the NLP Interchange Format (NIF), the OntoLex-Lemon model of the W3C Community Group Ontology-Lexica, and numerous domain-specific adaptations and extensions that these models have had an influence on. In addition, there are an increasing number of national, European, and international research projects that build on LLOD technology. These will contribute to its further development and will help ensure the success of this workshop and a high attendance rate. The 10th anniversary edition of the LDL can count on the support of the COST action “NexusLinguarum: European Network for Web-centered Linguistic Data Science”, as well as two Horizon 2020 projects. Firstly, the Prêt-à-LLOD project, which is making linguistic linked open data ready-to-use, and, secondly, the ELEXIS project on building a lexicographic infrastructure.

Projekte