Map materials science terms, crystal structures, and sample descriptions to standardized ontology classes and properties — resolve natural-language concepts to ontology entries with confidence scores, translate Bravais lattice types, space groups, and lattice constants into ontology-compliant annotations, and produce full sample metadata from structured descriptions. Supports any ontology in ontology_registry.json (CMSO, ASMO, etc.). Use when annotating simulation inputs with FAIR metadata, translating "BCC iron" or "FCC copper" into formal ontology terms, preparing machine- readable sample descriptions, or bridging between lab vocabulary and ontology vocabulary, even if the user only says "what CMSO terms describe my material" or "annotate this sample for me."
How to install ontology-mapper?
heshamfs/materials-simulation-skills/ontology-mapper
$npx -y skills add heshamfs/materials-simulation-skills --skill ontology-mapperInstalls into the current project.
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Run `npx skills use "https://github.com/heshamfs/materials-simulation-skills" --skill "heshamfs/materials-simulation-skills/ontology-mapper"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/heshamfs/materials-simulation-skills" that are relevant to the current task. Run `npx skills add "https://github.com/heshamfs/materials-simulation-skills"` and select the relevant skills, then follow their instructions.
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