Artificial Intelligence - Special issue on AI and law
Predicting outcomes of case based legal arguments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
An ontology in OWL for legal case-based reasoning
Artificial Intelligence and Law
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Usage of the Jess Engine, Rules and Ontology to Query a Relational Database
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Graph-Based Ontology Construction from Heterogenous Evidences
ISWC '09 Proceedings of the 8th International Semantic Web Conference
No model behaviour: ontologies for fraud detection
Law and the Semantic Web
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Extended rules in knowledge-based data access
RuleML'11 Proceedings of the 5th international conference on Rule-based modeling and computing on the semantic web
Ontological modeling of a class of linked economic crimes
Transactions on Computational Collective Intelligence IX
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We present an ontology-based model of a simple economic crime, namely fraudulent disbursement. The extension of a previously proposed ontology model, called the "minimal model", is used to capture the mechanism of the example case. The conceptual minimal model consists of eight layers of concepts, structured in order to use available data on facts to uncover relations. Using these concepts and appropriate relations and rules, we are able to map crime activity options (roles of particular type of managers). This makes it possible to phrase these roles in the language of penal code sanctions. Finally, the roles of persons in the crime are mapped into a set of sanctions. Prospects on future reasoning capabilities of the tool are presented.