2017 · 12 citations · 10 references
ComputingComputer ScienceFormal MethodsKnowledge RepresentationUncertainty QuantificationFormal OntologyKnowledge TaxonomiesOntology DesignOntology EngineeringUncertainty ReasoningUncertainty RepresentationExpressivenessOntological AnalysisOntologiesOntology FormalizationOntology Quality AssessmentQuality CriteriaSource Quality AssessmentSubjects
The question addressed in this paper is “what” is to be evaluated by the Uncertainty Representation and Reasoning Evaluation Framework (URREF) ontology. We thus identify the elements composing uncertainty representation and reasoning approaches, which constitute various subjects being assessed. We distinguish between primary evaluation subjects (Uncertainty Representation and Reasoning components of the fusion algorithm), and secondary evaluation subjects (source of information, piece of information, fusion method and mathematical model). This paper proposes a list of source quality criteria to be added to the ontology and establishes formal links between the secondary and primary evaluation subjects. The key contribution of the paper is the update of the definitions of sub-criteria of the Expressiveness criterion together with suggestions for complementary concepts to be included in the ontology (type of scale, type of uncertainty expression). Conclusions are drawn to extend the work in using the expressiveness criterion for information fusion analysis.
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