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Artículo
Enhancing semantic consistency in anti-fraud rule-based expert systems
(Elsevier, 2017)
In this study, an ontology-driven approach is proposed for semantic conflict detection and classification inrule-based expert systems. It focuses on the critical case of anti-fraud rule repositories for the inspectionof ...