Code for crawling the SKOS scheme for high-value dataset categories and creating alternative output representations.

• bin/crawl_scheme.py: Start with the URI of the scheme itself, then continue by download the top-level concepts and their sub-concepts. Output a complete Turtle file.
• bin/skos2mermaid.py: Convert the Turtle file with the SKOS scheme to a mermaid graph. Specify a language code to decide which language to use for the labels.
• queries/scheme_table_combined.rq: Query the Turtle file with the SKOS scheme to generate a CSV table. Requires Apache Jena command-line tools.

• Bulgarian (bg)
• Czech (cs)
• Danish (da)
• German (de)
• Greek (el)
• English (en)
• Spanish (es)
• Estonian (et)
• Finnish (fi)
• French (fr)
• Irish (ga)
• Croatian (hr)
• Hungarian (hu)
• Italian (it)
• Lithuanian (lt)
• Latvian (lv)
• Maltese (mt)
• Dutch (nl)
• Polish (pl)
• Portuguese (pt)
• Romanian (ro)
• Slovak (sk)
• Slovenian (sl)
• Swedish (sv)

• scheme: http://data.europa.eu/bna/asd487ae75
• regulation: https://eur-lex.europa.eu/eli/reg_impl/2023/138/oj?uri=CELEX:32023R0138#enc_1
• EU Vocabularies, High-value dataset categories: https://op.europa.eu/s/z4Lv
• data.europa.eu, Annotation of high-value datasets: https://dataeuropa.gitlab.io/data-provider-manual/hvd/annotation/

All code in this repository is published under the MIT License.