Jalil Elhassouni ; Mehdi Bazzi ; Abderrahim Qadi ; Mohamed Haziti - Applying ontologies to data integration systems for bank credit risk management

jdmdh:3138 - Journal of Data Mining & Digital Humanities, January 2, 2018, Special Issue on Scientific and Technological Strategic Intelligence (2016) - https://doi.org/10.46298/jdmdh.3138
Applying ontologies to data integration systems for bank credit risk management

Authors: Jalil Elhassouni 1; Mehdi Bazzi 2; Abderrahim Qadi 3,1; Mohamed Haziti 1

  • 1 Laboratoire de Recherche en Informatique et Télécommunications [Rabat]
  • 2 LIAD Laboratory, FSAC, Hassan II University, Morocco
  • 3 Ecole Supérieure de Technologie de Meknès

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.

https://doi.org/10.46298/jdmdh.3138
Source: HAL:hal-01456090v2
Volume: Special Issue on Scientific and Technological Strategic Intelligence (2016)
Published on: January 2, 2018
Accepted on: December 8, 2017
Submitted on: February 13, 2017
Keywords: 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]

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