Registry Probability Distribution Ontology

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
Metaregistry

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

Registry Name Metaprefix External Prefix
Identifiers.org miriam probonto
Name-to-Thing n2t probonto
Ontology Lookup Service ols probonto
Prefix Commons prefixcommons PROBONTO
Providers

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.

Name Metaprefix URI
Probability Distribution Ontology probonto https://www.ebi.ac.uk/ols/ontologies/probonto/terms?short_form=PROB_c0000005
Bioregistry bioregistry https://bioregistry.io/probonto:PROB_c0000005
Identifiers.org miriam https://identifiers.org/probonto:PROB_c0000005
Name-to-Thing n2t https://n2t.net/probonto:PROB_c0000005