Projects per year
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.
|Journal||Artificial Intelligence and Law|
|Publication status||Published - 2004|
FingerprintDive into the research topics of 'Towards a Financial Fraud Ontology: A Legal Modelling Approach'. Together they form a unique fingerprint.
- 1 Finished
- 2 Conference contribution
No Model Behaviour: Ontologies for Fraud DetectionKingston, 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 RevisionismKingston, 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 contributionOpen AccessFile