Applying ontologies to data integration systems for bank credit risk management

• Main Authors: Jalil Elhassouni, Mehdi Bazzi, Abderrahim Qadi, Mohamed Haziti
• Format: Article
• Language: English
• Published: Nicolas Turenne 2018-01-01
• Series: Journal of Data Mining and Digital Humanities
• Subjects: credit risk management; data integration; ontologies alignment; [info.info-db] computer science [cs]/databases [cs.db]; [info.info-ir] computer science [cs]/information retrieval [cs.ir]
• Online Access: https://jdmdh.episciences.org/4110/pdf

Special ISSUE VSST 2016 This paper proposes an ontological integration model for credit risk management. It is based on three ontologies; one is global describing credit risk management process and two other locals, the first, describes the credit granting process, and the second presents the concepts necessary for the monitoring of credit system. This paper also presents the technique used for matching between global ontology and local ontologies.