This is our first attempt to capture top-level classes and properties for an Ontology of Uncertainty (please click to view Attachments). Discussion
see also Uncertainty in a situation analysis perspective Jousselme, A.-L.; Maupin, P.; Bosse, E.
Ontology Views
Basic Terms
=== Classes ===
In the following class hierarchy the default relation is rdfs:subClassOf, if not specified otherwise
Sentence - an expression in some logical language that evaluates to a truth-value (formula, axiom, assertion)
World - the world about which the Sentence is said
Agent - whoever makes the statement
Human - the agent making the statement is a human
Machine - the agent making the statement is a machine
Uncertainty - a statement about the uncertainty associated with the sentence
UncertaintyNature - whether the uncertainty is an inherent property of the world or is a lack of information
Aleatory - the uncertainty comes from the world; uncertainty is an inherent property of the world
Epistemic - the uncertainty is due to the agent whose knowledge is limited, especially for a machine agent
UncertaintyType - classification of uncertainty
Ambiguity - the referents of terms in a sentence to the world are not clearly specified and therefore it cannot be determined whether the sentence is satisfied, see also http://en.wikipedia.org/wiki/Ambiguity
Empirical - a sentence about a world (an event) is either satisfied or not satisfied in each world, but it is not known in which worlds it is satisfied; this can be resolved by obtaining additional information (e.g., an experiment)
Randomness - sentence is an instance of a class for which there is a statistical law governing whether instances are satisfied
Vagueness - there is not a precise correspondence between terms in the sentence and referents in the world, see also http://en.wikipedia.org/wiki/Vagueness
Inconsistency - there is no world that would satisfy the statement
Incompleteness - information about the world is incomplete, some information is missing
Uncertainty Derivation - how the fact about uncertainty was derived
Objective - derived in a formal way, repeatable derivation process
Subjective - subjective judgement, possibly guess
UncertaintyModel - mathematical theories for the uncertainty types
Properties
hasUncertainty - sentence S has uncertainty U
saidAbout - sentence S is said about world W
saidBy - sentence S was said by agent A
nature - uncertainty U has nature N (either aleatory or epistemic (lack of knowledge)
uncertaintyType - uncertainty U is of type T
uncertaintyModel - uncertainty U is modeled using the mathematical theory M
derivationType - uncertainty U was obtained by derivation of type D