Research Article
Agent-oriented Ontology for Monitoring and Detecting Money Laundering Process
@INPROCEEDINGS{10.4108/infoscale.2007.926, author={Yingfeng Wang and Huaiqing Wang and Shijia Gao and Dongming Xu and Kang Ye}, title={Agent-oriented Ontology for Monitoring and Detecting Money Laundering Process}, proceedings={2nd International ICST Conference on Scalable Information Systems}, proceedings_a={INFOSCALE}, year={2010}, month={5}, keywords={intelligent agent money laundering Anti- money laundering agent-oriented ontology.}, doi={10.4108/infoscale.2007.926} }
- Yingfeng Wang
Huaiqing Wang
Shijia Gao
Dongming Xu
Kang Ye
Year: 2010
Agent-oriented Ontology for Monitoring and Detecting Money Laundering Process
INFOSCALE
ICST
DOI: 10.4108/infoscale.2007.926
Abstract
Criminal elements in today’s technology-driven society are using every means available at their disposal to launder the proceeds from their illegal activities. To effectively and efficiently prevent and detect such diverse and complex activity, an Anti-Money Laundering (AML) solution should establish comprehensive, solid and fundamental knowledge framework of the monitoring and detecting process. This paper proposed an agent-oriented ontology for monitoring and detecting money laundering process (MDMLP). It provides explicit formal presentation of fundamental components of certain knowledge and relationships among them. Agent-oriented methodology is applied to deal with the dynamic, complex, and distributed MDMLP.
Copyright © 2007–2024 ICST