Have a personal or library account? Click to login
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

Open Access
|Jun 2020

Abstract

Nowadays information and communication technologies are playing a decisive role in helping the financial institutions to deal with the management of credit risk. There have been significant advances in scorecard model for credit risk management. Practitioners and policy makers have invested in implementing and exploring a variety of new models individually. Coordinating and sharing information groups, however, achieved less progress. One of several causes of the 2008 financial crisis was in data architecture and information technology infrastructure. To remedy this problem the Basel Committee on Banking Supervision (BCBS) outlined a set of principles called BCBS 239. Using Ontology Design Patterns (ODPs) and BCBS 239, credit risk scorecard and applicant ontologies are proposed to improve the decision making process in credit loan. Both ontologies were validated, distributed in Ontology Web Language (OWL) files and checked in the test cases using SPARQL. Thus, making their (re)usability and expandability easier in financial institutions. These ontologies will also make sharing data more effective and less costly.

DOI: https://doi.org/10.2478/cait-2020-0019 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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 times per year

© 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.