Julia Bosque–Gil and Thierry Declerck gave a one-week Introduction to Linked Open Data in Linguistics on at the Lisbon Summer School in Linguistics 2021, with the area of Terminology and Lexicography– The tutorial was supported by the NexusLinguarum COST Action, the Prêt-à-LLOD and the ELEXIS projects.
Content of the tutorial:
Publishing language resources under open licenses and linking them together has been an area of increasing interest in computer science and in digital humanities areas including linguistics, digital heritage, and e–lexicography. This topic has been widely discussed, presented, and deployed in many workshops, datathons, European projects and at ESSLI summer schools. A particularly strong component of this has been the work conducted within the W3C Ontology–Lexica Community Group, whose OntoLex–Lemon model is a de facto standard for lexical data on the Web. Linked data is an important step towards making linguistic data: i) easily and uniformly queryable, ii) interoperable and iii) sharable over the Web using open standards such as the HTTP protocol and the RDF data model. Thus, this course will give participants both theoretical and practical hands–on experiences with the development of these technologies, to help them to make their data re–usable and more sustainable.This course has the main goal of giving people in the fields of digital humanities and computational linguistics the theoretical underpinnings as well as practical skills in the topics of linked data and semantic technologies as applied to linguistics and lexical data. After developing a short initial ontology, participants will learn step by step how to represent multilingual data with their ontology and how to ground it linguistically. We will introduce a variety ofstate–of–the–art multilingual representation formats and application scenarios in which to leverage and exploit multilingual semantic data. Finally, we will detail the connection of lexical and corpus resources. At the end of the class, participants will be able to interact with the Linguistic Linked Open Data (LLOD) cloud for the semantic representation of linguistic data.