Abstract
One of the major concerns in knowledge integration is inconsistencies in knowledge bases. An inconsistency measure is a tool that helps analyzing inconsistency knowledge bases and resolving inconsistencies. In recent years, a wide range of measures with desirable properties have been proposed, however, these measures often correspond to logical, or probabilistic-logical framework. In this paper, we investigate several inconsistency measures and their properties for the knowledge bases represented by probabilistic framework.
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