ProbOnto, is an ontology-based knowledge base of probability distributions, featuring uni- and multivariate distributions with their defining functions, characteristics, relationships and reparameterisation formulae. It can be used for annotation of models, facilitating the encoding of distribution-based models, related functions and quantities.

Prefix

probonto

Version

2.5.0

Links

Homepage OWL

Contact

probonto.dev@gmail.com

Pattern for Local Unique Identifiers

Local identifiers in Probability Distribution Ontology should match this regular expression:
^PROB_c\d+$

Example Local Unique Identifier

PROB_c0000005   Resolve

Pattern for CURIES

Compact URIs (CURIEs) constructed from Probability Distribution Ontology should match this regular expression:
^probonto:PROB_c\d+$

Example CURIE

probonto:PROB_c0000005

The metaregistry provides mappings between the Bioregistry and other registries. There are 4 mappings to external registries for probonto.

Providers are various services that resolve CURIEs to URLs. The example CURIE probonto:PROB_c0000005 is used to demonstrate the provides available for probonto. Generation of OLS and BioPortal URLs requires additional programmatic logic beyond string formatting.