Map materials science terms, crystal structures, and sample descriptions to ontology classes and properties. Supports any ontology registered in ontology_registry.json. Use when translating natural-language material descriptions to ontology terms, annotating simulation inputs with ontology metadata, or mapping crystal parameters (space group, Bravais lattice, lattice constants) to standardized ontology representations.
Translate real-world materials science descriptions into standardized ontology annotations. Given terms like "FCC copper" or structured data like {"material": "iron", "structure": "BCC", "lattice_a": 2.87}, produce the corresponding ontology classes and properties for any registered ontology.
ontology_registry.json<name>_mappings.json) for ontology-specific synonyms and labels| Input | Description | Example |
|---|---|---|
| Ontology | Ontology name from registry | cmso, asmo |
| Term(s) | Natural-language materials concept(s) |
"unit cell", "FCC,copper,lattice" |
| Crystal system | One of the 7 crystal systems | cubic, hexagonal |
| Bravais lattice | Lattice type (symbol or common name) | FCC, cF, BCC |
| Space group | Space group number (1-230) | 225 |
| Lattice parameters | a, b, c in angstroms; alpha, beta, gamma in degrees | a=3.615 |
| Sample description | JSON dict with material properties | {"material":"copper","structure":"FCC"} |
What do you need to map?
├── A concept or term to find its ontology class
│ └── concept_mapper.py --ontology <name> --term "<term>"
├── Crystal structure parameters to ontology terms
│ └── crystal_mapper.py --ontology <name> --bravais <type> --space-group <N> --a <val>
├── A full sample description to ontology annotations
│ └── sample_annotator.py --ontology <name> --sample '<json>'
└── Multiple terms at once
└── concept_mapper.py --ontology <name> --terms "term1,term2,term3"
| Script | Key Outputs |
|---|---|
scripts/concept_mapper.py | results.matches, results.unmatched, results.suggestions |
scripts/crystal_mapper.py | results.ontology_classes, results.ontology_properties, results.effective_system, results.bravais_lattice, results.validation_warnings |
scripts/sample_annotator.py | results.annotations, results.sample_type, results.material_type, results.unmapped_fields, results.suggested_properties |
concept_mapper.py to find matching ontology classes.crystal_mapper.py to map them and validate constraints.sample_annotator.py to produce full ontology annotations.unmapped_fields and suggested_properties for completeness.User: I'm setting up an MD simulation of BCC iron with lattice parameter 2.87 angstroms.
What CMSO terms should I use?
Agent: Let me map your iron sample to CMSO ontology terms.
[Runs: sample_annotator.py --ontology cmso --sample '{"material":"iron","structure":"BCC","lattice_a":2.87,"space_group":229}' --json]
Your BCC iron simulation maps to these CMSO annotations:
- **Sample**: Atomic Scale Sample (subclass of Computational Sample)
- **Material**: Crystalline Material
- **Unit Cell**: Bravais lattice = "cI" (body-centered cubic)
- **Space Group**: number = 229 (Im-3m)
- **Lattice**: a = 2.87 Å
- **Element**: Fe
Suggested additions:
- Number of atoms in the simulation cell
- Simulation cell vectors and angles
# Map a single concept
python3 skills/ontology/ontology-mapper/scripts/concept_mapper.py \
--ontology cmso --term "space group" --json
# Map multiple terms
python3 skills/ontology/ontology-mapper/scripts/concept_mapper.py \
--ontology cmso --terms "FCC,copper,lattice constant" --json
# Map crystal parameters (with ontology-specific labels)
python3 skills/ontology/ontology-mapper/scripts/crystal_mapper.py \
--ontology cmso --bravais FCC --space-group 225 --a 3.615 --json
# Map crystal parameters (generic labels, no ontology specified)
python3 skills/ontology/ontology-mapper/scripts/crystal_mapper.py \
--bravais FCC --space-group 225 --a 3.615 --json
# Annotate a full sample
python3 skills/ontology/ontology-mapper/scripts/sample_annotator.py \
--ontology cmso \
--sample '{"material":"copper","structure":"FCC","space_group":225,"lattice_a":3.615}' \
--json
To support a new ontology (e.g., ASMO), create a <name>_mappings.json in references/:
{
"ontology": "asmo",
"synonyms": { "simulation method": "Simulation Method", ... },
"property_synonyms": { "timestep": "has timestep", ... },
"material_type_rules": { "keyword_rules": [...], "default": "Material" },
"sample_schema": { "sample_class": "Simulation", ... },
"crystal_output": { "base_classes": [...], "property_map": {...} },
"annotation_routing": { "unit_cell_indicators": [...], ... }
}
Then add "mappings_file": "asmo_mappings.json" to the ontology's entry in ontology_registry.json. No code changes needed.
| Error | Cause | Resolution |
|---|---|---|
space_group must be between 1 and 230 | Invalid space group number | Use a valid space group number |
a must be positive | Non-positive lattice parameter | Provide positive values in angstroms |
Sample must be a non-empty dict | Empty or missing sample data | Provide a valid JSON sample dict |
| Validation warnings | Lattice parameters inconsistent with crystal system | Check that a=b=c for cubic, etc. |
| Date | Version | Changes |
|---|---|---|
| 2026-02-25 | 1.1 | Refactored for multi-ontology support: externalized CMSO-specific knowledge to config |
| 2026-02-25 | 1.0 | Initial release with CMSO mapping support |