Python Notebook for the conversion of CSV Realiter Lexicon into SKOS

Python notebook developed as a hands-on tutorial for transforming structured linguistic data into SKOS vocabularies, following the principles of Linked Data and the Linguistic Linked Open Data (LLOD) paradigm. The case study concerns the lexicons of the REALITER project.

The tutorial guides the user through all stages of the process: from understanding the SKOS model to preparing the data, to transforming, validating and publishing the resulting vocabulary in the Skosmos environment. The goal is to provide concrete tools for interoperable publication and sharing of language resources.