An EMMO-based application-level ontology that defines standardised TEM and SEM characterisation procedures, workflows, instruments and tools used within the TEM Gemini Centre.
The ontology is available from this IRI: https://tem-gemini-centre.github.io/TEMGeminiOntology/temgo.ttl
Version dependencies on imported ontologies:
| Version | EMMO | CHAMEO | MDO | DOM | Status |
|---|---|---|---|---|---|
| 0.0.1 | 1.0.0 | 1.0.0 | 0.3.1 | 0.5.3 | initial release |
| 0.1.0 | 1.0.0 | 1.0.0 | 0.3.1 | 0.5.3 | stable |
| 0.2.0-beta | 1.0.2 | 1.0.2 | 0.4.0-beta | 0.6.0-beta | development |
TEMGO is an application ontology. But it includes a json-ld context and a keywords file that can be made available to python applications by installing TEMGO as a Python package:
pip install git+https://github.com/TEM-Gemini-Centre/TEMGeminiOntology.git@master
As a developer, may want to install [pre-commit] to automatically synchronise the json-ld context and documentation to the ontology expressed in the turtle files.
pip install pre-commit
pre-commit intstall
This ontology is released under the Creative Commons Attribution 4.0 International license (CC BY 4.0).
This work has been supported by the following projects: