Abstract
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.
Highlights
The integration of data has become increasingly important in many areas
This issue is at the heart of many research areas, and this work falls within mapping schemas for bank credit risk management
We propose a general ontology that models the credit risk management process and two specific ontologies
Summary
The integration of data has become increasingly important in many areas It provides decision makers and analysts with uniform access to distributed and heterogeneous sources of data (relational databases, XML documents, semantic databases...). The data integration processes across multiple sources constitute a complicated task because of the semantic heterogeneity encountered at the different levels: metadata, data schemas and data values. This issue is at the heart of many research areas, and this work falls within mapping schemas for bank credit risk management. Based on this architecture, we propose a general ontology that models the credit risk management process and two specific ontologies.
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