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Article Dans Une Revue Journal of Data Mining and Digital Humanities Année : 2018

Applying ontologies to data integration systems for bank credit risk management

Résumé

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.
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Dates et versions

hal-01456090 , version 1 (03-02-2017)
hal-01456090 , version 2 (26-11-2017)

Identifiants

Citer

Jalil El Elhassouni, Mehdi Bazzi, Abderrahim El Qadi, Mohamed El Haziti. Applying ontologies to data integration systems for bank credit risk management. Journal of Data Mining and Digital Humanities, 2018, Special Issue on Scientific and Technological Strategic Intelligence (2016), ⟨10.46298/jdmdh.3138⟩. ⟨hal-01456090v2⟩
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