Abstract
Ontologies representing knowledge, are expressed in welldefined formal languages for example, Ontology Web Language (OWL2), whicharebasedon expressivedescription logics (asSROIQ(D) forOWL2). The ontology concepts are language adjectives referring the meaning of classes of objects. If the meaning is deficient (imprecise) then we will face the problem of vague concepts. In this paper we propose a vagueness theory based on the definition of truth gaps to express the vague concepts in OWL2 and an extension of the Tableau algorithm for reasoning over vague ontologies.
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CITATION STYLE
Bourahla, M. (2015). Reasoning over vague concepts. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 9120, pp. 591–602). Springer Verlag. https://doi.org/10.1007/978-3-319-19369-4_52
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