Applying ontologies to data integration systems for bank credit risk management

Applying ontologies to data integration systems for bank credit risk management

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 concep...

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Bibliographic Details
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
Description
Summary: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.
ISSN:2416-5999

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