An OWL2-encoded ontology modeling the model card report for machine learning model assests. The aim of this work is to describe machine learning models to communicate information about specific details about the model (trade offs, intended users, licensing, etc.). As an ontology-based artifact we can semantically express, standarize, and yield computable benefits to the model card reports. This reposoitory has both a .owl (mcro.owl) and .ttl (mcro.ttl) files available.
This ontology utilizes:
- Information Artifact Ontology,
- Software Ontology (only a subset, see SWO import for details.)
- Provenance Ontology
- Simple Knowledge Organization System
PURL: http://purl.obolibrary.org/obo/mcro.owl
- Tuan Amith
- Cui Tao
- Degui Zhi
- Kirk Roberts
- Xiaqian Jiang
- Licong Cui
Amith, M.T., Cui, L., Zhi, D. et al. Toward a standard formal semantic representation of the model card report. BMC Bioinformatics 23 (Suppl 6), 281 (2022). https://doi.org/10.1186/s12859-022-04797-6
This work has been supported by National Institutes of Health under Award Numbers: RF1AG072799, R56AI150272, R56AG074604, and T15LM007093, and by the American Heart Association: 19GPSGC35180031.