• UncertaintyOntology

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.

and Current approaches to handling imperfect information in data and knowledge bases Parsons, S. Knowledge and Data Engineering

Ontology Views

• Top Level

• Nature of Uncertainty and Derivation

• Upload new attachment "UncertaityTypes.jpg"

• Uncertainty Models

• Uncertainty Ontology (OWL)

• Uncertainty-v2_as_of_071219.owl

• Uncertainty Annotation of Buying Speakers 2008-01-08

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

  • Probability

  • FuzzySets

  • BeliefFunctions

  • RandomSets

  • RoughSets

  • SimilarityModels

  • PreferenceModels

  • TrustModels

  • CombinationOfSeveralModels

    • FuzzySetsAndProbability

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