2nd International ICST Conference on Scalable Information Systems

Research Article

Agent-oriented Ontology for Monitoring and Detecting Money Laundering Process

Download561 downloads
  • @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
Yingfeng Wang1,*, Huaiqing Wang1,*, Shijia Gao2,*, Dongming Xu2,*, Kang Ye1,3,*
  • 1: Department of Information Systems, City University of Hong Kong, Hong Kong (SAR), China.
  • 2: UQ Business School, University of Queensland, St Lucia, Brisbane, Australia.
  • 3: Department of Statistics & Finance, University of Science and Technology of China, Anhui, China.
*Contact email: gilbert.wang@student.cityu._edu.hk, iswang@cityu.edu.hk, c.gao@business.uq.edu.au, d.xu@business.uq.edu.au, kye@mail.ustc.edu.cn

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.