Towards a financial fraud ontology: A legal modelling approach [Book Review]

Artificial Intelligence and Law 12 (4):419-446 (2004)
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Abstract

This document discusses the status of research on detection and prevention of financial fraud undertaken as part of the IST European Commission funded FF POIROT (Financial Fraud Prevention Oriented Information Resources Using Ontology Technology) project. A first task has been the specification of the user requirements that define the functionality of the financial fraud ontology to be designed by the FF POIROT partners. It is claimed here that modeling fraudulent activity involves a mixture of law and facts as well as inferences about facts present, facts presumed or facts missing. The purpose of this paper is to explain this abstract model and to specify the set of user requirements.

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Citations of this work

Legal concepts as inferential nodes and ontological categories.Giovanni Sartor - 2009 - Artificial Intelligence and Law 17 (3):217-251.

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