Dataset_SKOS_OWL_RDF of Mxitar Gosh's Law Code (Armenian and English)

This dataset presents the digitally annotated corpus and semantic knowledge representation of Mkhitar Gosh’s Lawcode (Datastan Girq), based on the 1975 Classical Armenian edition edited by Khosrov Torosyan.It combines linguistic, legal, and ontological modeling to support comparative law, digital philology, and semantic web integration. The corpus is encoded as CSV (for text analysis) and SKOS RDF (TTL) (for linked-data representation).The data are enriched through the METEOR ontology workflow, which structures and visualizes Armenian legal terminology (Articles 242–247) using SKOS and OWL principles. Contents 1️⃣ Core Corpus Files M.Gosh_Girq Datastani__annotated_corpus_UTF8 (1).csv — Chapter-level corpus (Grabar Armenian, Modern Armenian, English translations, legal categories) Gosh_SKOS_full (1).ttl — SKOS RDF Turtle file (251 chapters, URI-based concepts, multilingual labels, thematic relations) Gosh_SKOS_Zenodo_Explanatory.pdf — Documentation of the data structure and SKOS fields 2️⃣ Supplementary METEOR Appendices (Articles 242–247) Appendix 1 – Term extraction and semantic clustering (roles, objects, actions, sanctions) METEOR_APPENDIX_1_term extracti… Appendix 2 – Ontology Classes table (CSV) Appendix 3 – Comparative sample translations (Grabar ↔ Modern Armenian ↔ English) METEOR_APPENDIX_3. conparative … Appendix 4 – RDF Graph visualization (PNG) Appendix 5 – SKOS/OWL representation of Article 247 and OntoGraf visual schema METEOR_APPENDIX 5_Art247_SKOS_O… METEOR_APPENDIX 5_Art247_SKOS_O… METEOR_Art247_ontograf_like.png – OntoGraf-style diagram for Article 247 3️⃣ Documentation Files README.md — Overview, structure, and citation instructions CITATION.cff — Machine-readable citation metadata Purpose This resource supports: Comparative legal linguistics and philology Machine translation and alignment training Semantic annotation (SKOS/OWL, RDF linked data) Digital humanities and heritage research