SUMMARY AI summary by gpt-5-mini
PV‑Collada Ontology (pvcollada_onto.ttl) is an OWL 2 DL vocabulary for semantically modelling photovoltaic systems: component specs, electrical circuit topologies and 3‑D/georeferenced physical layouts. It targets PV data scientists, system modelers, digital‑twin engineers and integrators who need interoperable, machine‑readable PV asset descriptions. Key features: - Ontology IRI: https://w3id.org/pvcollada (content‑negotiated, dereferenceable terms) - ~1,367 triples, Turtle serialization, CC BY‑SA 4.0 - Three layered design: product library (modules, inverters, cables), circuit topology (strings, inverter instances), physical layout (racks, trackers); ModuleLayout links circuit ↔ physical - Alignments with MDS‑Onto, QUDT, SKOS for interoperability - SHACL NodeShapes for validation, competency SPARQL queries (cq01–cq10), WebVOWL and WIDOCO documentation - Examples/tools: Oxigraph Docker SPARQL endpoint, MCP Python server for semantic search Primary uses: FAIR data workflows, digital twins, cross‑dataset querying and automated validation.
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| Created on GitHub | 2026-05-14 |
| Last push | 2026-05-15 |
| First seen here | 2026-05-14 |
| Last fetched | 2026-05-15 16:14 |
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