Towards a Financial Fraud Ontology: A Legal Modelling Approach

John Kingston; Burkhard Schafer; Wim Vandenburghe

doi:10.1007/s10506-005-4163-0

Towards a Financial Fraud Ontology: A Legal Modelling Approach

John Kingston, Burkhard Schafer, Wim Vandenburghe

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	419-46
Journal	Artificial Intelligence and Law
Volume	12
Issue number	4
DOIs	https://doi.org/10.1007/s10506-005-4163-0
Publication status	Published - 2004

Access to Document

10.1007/s10506-005-4163-0

1 Finished

FF POIROT
Schafer, B.
EU government bodies
1/09/02 → 31/08/05
Project: Research

2 Conference contribution

No Model Behaviour: Ontologies for Fraud Detection
Kingston, J., Schafer, B. & Vandenburghe, W., 2005, Law and the Semantic Web: Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications. Benjamins, V. R., Casanovas, P., Breuker, J. & Gangemi, A. (eds.). Berlin: Springer, p. 233-47 (Lecture Notes in Computer Science; vol. 3369).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Ontology Modelling in the Legal Domain - Realism Without Revisionism
Kingston, J., Schafer, B. & Vandenburghe, W., 16 Sep 2003, Proceedings of the KI2003 Workshop on Reference Ontologies and Application Ontologies, Hamburg, Germany, September 16, 2003. Grenon, P., Menzel, C. & Smith, B. (eds.). CEUR-WS.org, 12 p. (CEUR Workshop Proceedings; vol. 94).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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Cite this

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AB - 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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JO - Artificial Intelligence and Law

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Towards a Financial Fraud Ontology: A Legal Modelling Approach

Abstract

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Projects

FF POIROT

Research output

No Model Behaviour: Ontologies for Fraud Detection

Ontology Modelling in the Legal Domain - Realism Without Revisionism

Cite this