MOOC on Linguistic Linked Data

The field of linguistic linked data lies at the intersection of the Semantic Web and linguistics and studies techniques and tools aimed at modelling and publishing language resources on the Web, in ways that enable their data interoperability and reuse. In order to support learning in this area and train a new generation of researchers and practitioners, the NexusLinguarum COST Action developed a MOOC on linguistic linked data. This freely accessible MOOC is unique in its kind and has been prepared by experts with broad experience in the field. During the course, students acquire fundamental concepts of linguistic linked data and gain practical experience with related tools and techniques. The MOOC consists of two courses: (i) essentials, which covers basic tools and modelling techniques (e.g., Ontolex-Lemon, SPARQL, VocBench, NIF) and (ii) advanced topics, covering more advanced contents like metadata, lexicography, terminology, deep learning and linguistic data, and a real use-case. The courses are self-paced and the expected duration of both is seven weeks. We expect the course to have a strong impact by promoting the combination of Semantic Web technologies with linguistics and data science, which is crucial in fields of emerging studies such as linguistic data science. The community behind this initiative is well-anchored and coordinates multiple recent standards for linguistic knowledge representation increasingly adopted by linguists.