Agent-oriented ontology for monitoring and detecting Money Laundering process

Yingfeng Wang; Huaiqing Wang; Shijia Gao; Dongming Xu; Kang Ye

doi:10.4108/infoscale.2007.926

Agent-oriented ontology for monitoring and detecting Money Laundering process

Yingfeng Wang
, Huaiqing Wang
, Shijia Gao
, Dongming Xu
, Kang Ye

Department of Information Systems

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

6 Citations (Scopus)

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 ICST

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Scalable Information Systems, InfoScale 2007
Publisher	Association for Computing Machinery
Volume	06-08-June-2007
ISBN (Print)	9781595937575
DOIs	https://doi.org/10.4108/infoscale.2007.926
Publication status	Published - 6 Jun 2007
Event	2nd International Conference on Scalable Information Systems (InfoScale 2007) - Suzhou, China Duration: 6 Jun 2007 → 8 Jun 2007

Publication series

Name	ACM International Conference Proceeding Series
Volume	06-08-June-2007

Conference

Conference	2nd International Conference on Scalable Information Systems (InfoScale 2007)
Place	China
City	Suzhou
Period	6/06/07 → 8/06/07

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This research is supported by a SRG Grant (No. 7001896) from City University of Hong Kong.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities
SDG 17 Partnerships for the Goals

Research Keywords

Agent-oriented ontology
Anti-money laundering
Intelligent agent
Money Laundering

Access Output

10.4108/infoscale.2007.926

Other Access Options

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Permanent Link

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Cite this

Wang, Y., Wang, H., Gao, S., Xu, D., & Ye, K. (2007). Agent-oriented ontology for monitoring and detecting Money Laundering process. In Proceedings of the 2nd International Conference on Scalable Information Systems, InfoScale 2007 (Vol. 06-08-June-2007). Article a81 (ACM International Conference Proceeding Series; Vol. 06-08-June-2007). Association for Computing Machinery. https://doi.org/10.4108/infoscale.2007.926

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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 {\textcopyright} 2007 ICST",

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Wang, Y, Wang, H, Gao, S, Xu, D & Ye, K 2007, Agent-oriented ontology for monitoring and detecting Money Laundering process. in Proceedings of the 2nd International Conference on Scalable Information Systems, InfoScale 2007. vol. 06-08-June-2007, a81, ACM International Conference Proceeding Series, vol. 06-08-June-2007, Association for Computing Machinery, 2nd International Conference on Scalable Information Systems (InfoScale 2007), Suzhou, China, 6/06/07. https://doi.org/10.4108/infoscale.2007.926

Agent-oriented ontology for monitoring and detecting Money Laundering process. / Wang, Yingfeng; Wang, Huaiqing; Gao, Shijia et al.
Proceedings of the 2nd International Conference on Scalable Information Systems, InfoScale 2007. Vol. 06-08-June-2007 Association for Computing Machinery, 2007. a81 (ACM International Conference Proceeding Series; Vol. 06-08-June-2007).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Gao, Shijia

AU - Xu, Dongming

AU - Ye, Kang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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AB - 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 ICST

KW - Agent-oriented ontology

KW - Anti-money laundering

KW - Intelligent agent

KW - Money Laundering

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ER -

Agent-oriented ontology for monitoring and detecting Money Laundering process

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Research Keywords

Access Output

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Permanent Link

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