On Possible Applications of Rough Mereology to Handling Granularity in Ontological Knowledge

Pavel Klinov, Lawrence Mazlack

The paper proposes an approach to approximating hierarchical relationships between imprecise concepts in knowledge representation systems. The approach is based on Rough Mereology and is complemented by Interval Analysis to formally capture the imprecision caused by the granularity of knowledge. Interval rough inclusion functions for membership and subsumption are defined. It is demonstrated that the subsumption function can be used to compute the "is-a" relationships by measuring the degree of containment of one approximate concept into another.

Subjects: 11. Knowledge Representation; 11.2 Ontologies

Submitted: Apr 9, 2007

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