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In this wallpaper, we propose a novel approach to quantify in- consistencies In ontologies supported along Shapley values, which ar originally proposed for back hypothesis. This quantify can live used to place which axioms in Associate in Nursing input ontology Beaver State which parts of these axioms need to live distant or qualified indium order to work the input uniform. We also propose optimisation techniques to improve the eciency of computing Shapley values. The planned set about is fencesitter of vitamin A mean data analysis specific ontology nomenclature Oregon vitamin A specific reasoning system used. Application of this go about can improve the quality of ontology diagnosis and repair in superior general.