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The Implementation of Credit Risk Scorecard Using Ontology Design Patterns and BCBS 239 Cover

The Implementation of Credit Risk Scorecard Using Ontology Design Patterns and BCBS 239

Cybernetics and Information Technologies
Volume 20 (2020): Issue 2 (June 2020)
By: Jalil Elhassouni,  Abderrahim El qadi,  Yasser El madani El alami and  Mohamed El haziti  
Open Access
|Jun 2020

Authors

Jalil Elhassouni

jalil.elhassouni@gmail.com

LRIT-CNRST (URAC’29), Faculty of Sciences, Rabat IT Center, Mohammed V University of Rabat, Morocco

Abderrahim El qadi

abderrahim.elqadi@um5.ac.ma

High School of Technology in Sale, LCS, Faculty of Science, Mohammed V University of Rabat, Morocco

Yasser El madani El alami

yasser.alami@um5.ac.ma

ENSIAS, Mohammed V University of Rabat, Morocco

Mohamed El haziti

melhaziti@yahoo.fr

LRIT-CNRST (URAC’29), Faculty of Sciences, Rabat IT Center, Mohammed V University of Rabat, Morocco
DOI: https://doi.org/10.2478/cait-2020-0019 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 93 - 104
Submitted on: Feb 10, 2020
Accepted on: Mar 20, 2020
Published on: Jun 12, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Ontology design patterns,
OWL,
credit risk scorecard,
decision support,
BCBS 239
Related subjects:
Computer sciences,
Information technology

© 2020 Jalil Elhassouni, Abderrahim El qadi, Yasser El madani El alami, Mohamed El haziti, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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