Е-Публикации
Технически университет - София

Abstract: Ontologies are widely used for development of semantic knowledge models. Most ontology representation languages have strong logical ground in Description Logics (DLs), that can represent only crisp knowledge. DLs cannot directly manage imprecise knowledge, which is needed for solving problems in many practical domains. Other knowledge representation formalisms as fuzzy or probabilistic logics are introduced to express imprecise or vague information. This paper aims to analyze semantic technologies for representing and reasoning with non-precise or vague knowledge and proposes a methodology for modeling imprecise information in many real domains.

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