Agent skill · research science · datadrivenconstruction
ontology-mapper
Map construction data to standard ontologies. Create semantic mappings between different data schemas
Why this skill is useful
Provides domain-specific knowledge for mapping construction data to standard ontologies that the AI wouldn't reliably generate on its own.
What it needs
Requires python3 installed locally. About 6k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.
What this skill does
Ontology Mapper Overview Based on DDC methodology (Chapter 2.2), this skill maps construction data to standard ontologies like IFC, COBie, Uniclass, and OmniClass, enabling semantic interoperability between systems. Book Reference: "Доминирование открытых данных" / "Open Data Dominance" Quick Start Common Use Cases Map Field to IFC `python mapper = OntologyMapper() Map a single field result = mapper.mapfield( fieldname="elementtype", fieldvalue="Wall", targetontology=OntologyType.IFC ) if result.bestmatch:
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills datadrivenconstruction/ontology-mapper