Elaboration of Financial Fraud Ontology
Adamu Hussaini, Zahia Guessoum, Eunika Mercier‐Laurent · Annals of Computer Science and Information Systems · 2022
Financial Frauds have dynamically changed, the fraudsters are becoming more sophisticated.There has been an estimated global loss of 5.127 trillion dollars each year due to various forms of financial frauds.Industries like banking, insurance, e-commerce and telecommunication are the main targets for financial frauds.Several techniques have been proposed and applied to understand and detect financial frauds.In this paper we propose an ontology to describe financial frauds and related knowledge.The aim of this ontology is to provide a semantic framework for the detection of financial frauds.Theoretical ontology has been elaborated exploring various sources of information.After describing the research objectives, related works and research methodology, this paper presents details of theoretical ontology.It is followed by its validation using real datasets.Discussion of the obtained results gives some perspectives for the future work.