Competency-question evaluation
How well do materials
ontologies answer?
Published coverage for MDS-Onto, PMDCo, AM-Ontology, EMMO, and CHAMEO.
Table SF · Overall results
Ontology leaderboard
Ranked by aggregate coverage across 50 questions spanning seven materials-science categories.
| Rank | Ontology | Terms | Coverage | Relative score |
|---|
Table SE · Category detail
Coverage by capability
Table SC · Applied assessments
Domain performance
Recall and precision across six applied domains.
Local OntoCheck
FOOPS and OOPS
Supplementary question sets
Competency questions
Explore the questions used in the evaluations and inspect their executable SPARQL queries.
Runtime evaluation
Choose measures, then start
Upload an ontology and select FOOPS, OOPS, and OQuaRE. Each selected measure opens its own result panel. OntoCheck recall and precision run when a question set is included. This only works at http://127.0.0.1:8000 after you start the backend. The GitHub Pages site cannot run an evaluation.
Stored for this browser
Saved evaluations
No saved evaluations yet.
Finished evaluations stay in the local database and appear here.
Query memory
Ask in natural language
Translate a competency question into SPARQL with nl2sparql, then score that query against the selected ontology. Optional context and saved questions are sent with the translation.
Information panel
Saved questions
Evaluated questions appear here for this browser.