An ontology driven credit risk scoring model
Saša Arsovski, Branko Markoski, Predrag Pecev, Ladislav Ratgeber, Nikola Petrov · 2014
In this paper, the authors propose a model for credit risk management. Two main aspects of credit risk management are analyzed. The first aspect of this paper discusses techniques for reducing the risk of investments using standard commercial bank methods for client scoring. The second aspect deals with social, political and development components of investment. In this paper, ontology is used to enable the implementation of domain knowledge to support decision-making and client scoring in government development funds. Authors propose an integrated ontological model for evaluating client applications, which incorporates both: the default risk of investment and the development component of the investment.