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• [P680] Ontology Granularity and Rough Equality of Concepts
  Author(s): Lawrence J. Mazlack, Pavel Klinov
  
  

  Abstract
  Ontological structures play a major role in the Semantic Web; they became the target of an extensive re?search over the last decade. An important advance was the attempt to employ Fuzzy Sets and Fuzzy Logic techniques in representing ontologies for intrinsically vague domains of interest where most of human knowledge cannot be ex?pressed in crisp logical formulas. Although the fuzzy ap?proach alleviates the crispness problem, it does not deal sat?isfactory with the ambiguity caused by deficient discernibil?ity of objects. We consider building rough approximations of fuzzy concepts and relations to measure the roughness of generated ontologies. The key objective of this work is to roughly approximate fuzzy concepts, entailments and sub?sumptions of a given ontology to have a better understanding of both ontology's quality and boundaries of usage. This will be useful for estimating appropriateness of existing ontolo?gies for reasoning in incomplete domains.

  
   

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