Application of an Ontology-Based Model to a Wide-Class Fraudulent Disbursement Economic Crimes

  • Czesław JędrzejekEmail author
  • Jarosław Bąk
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 183)


We analyze the whole transaction cycle starting from an agreement between two companies or a company and a person up to a physical process of executing a payment. Previously, we considered only fraudulent disbursement economic crime perpetrated by management. In this work we generalize our minimal ontology model of economic crimes to dealing with crimes committed by employees not in managerial positions. Extending the concepts and relations of the minimal model and using appropriate rules, we are able to map crime activity options (roles of a particular type of employees). This makes it possible to reason penal code sanctions using activities and roles of persons in a crime. Although the work pertains mostly to the Polish Penal Code, the model is able to distinguish between embezzlement and larceny (and thus in some aspect encompasses asset misappropriation not only money misappropriation). Prospects on future reasoning capabilities of the tool will be presented.


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  1. 1.
    Association of Certified Fraud Examiners, Report to the Nations (2010),
  2. 2.
  3. 3.
    Wells, J.T.: Billing Schemes. Journal of Accountancy, Parts 1- 4 194(1), 76–79, (2), 72–74, (3), 96–98, (4), 105–109 (respectively)Google Scholar
  4. 4.
    Wells, J.T.: Corporate Fraud Handbook: Prevention and Detection, 2nd edn. Wiley, John & Sons (2007)Google Scholar
  5. 5.
    Kranacher, M.-J., Riley, R., Wells, J.T.: Forensic Accounting and Fraud Examination. Wiley, John & Sons (2010)Google Scholar
  6. 6.
    Bak, J., Jedrzejek, C.: Application of an Ontology-Based Model to a Selected Fraudulent Disbursement Economic Crime. In: Casanovas, P., Pagallo, U., Sartor, G., Ajani, G. (eds.) AICOL-II/JURIX 2009. LNCS(LNAI), vol. 6237, pp. 113–132. Springer, Heidelberg (2010)Google Scholar
  7. 7.
    Bak, J., Jedrzejek, C., Falkowski, M.: Application of an Ontology-Based and Rule-Based Model to Selected Economic Crimes: Fraudulent Disbursement and Money Laundering. In: Dean, M., Hall, J., Rotolo, A., Tabet, S. (eds.) RuleML 2010. LNCS, vol. 6403, pp. 210–224. Springer, Heidelberg (2010)Google Scholar
  8. 8.
    The Penal Code. Ustawa z dnia 6 czerwca 1997 r. Kodeks karny (1997) (in Polish)Google Scholar
  9. 9.
    False and Fictitious Invoices IOTA Report for Tax Administrations, Budapest (2009),
  10. 10.
    Bak, J., Falkowski, M., Jedrzejek, C.: The SDL Library: Querying a Relational Database with an Ontology, Rules and the Jess Engine. In: Bragaglia, S., Damásio, C., Montali, M., Preece, A., Petrie, C., Proctor, M., Straccia, U. (eds.) Proceedings of the 5th International RuleML2011@BRF Challenge, co-located with the 5th International Rule Symposium, Fort Lauderdale, Florida, USA, November 3-5, vol. 799 (2011),
  11. 11.
    The TaxML Working group has been deactivated, before accomplishing a standard,
  12. 12.
    Jedrzejek, C., Falkowski, M., Smolenski, M.: Link Analysis of Fuel Laundering Scams and Implications of Results for Scheme Understanding and Prosecutor Strategy. In: 22nd International Conference on Legal Knowledge and Information Systems, JURIX 2009, Rotterdam, The Netherlands (2009)Google Scholar
  13. 13.
    Unger, B., Busuioc, E.M.: The Scale and Impacts of Money Laundering. Edward Elgar (2007)Google Scholar
  14. 14.
    Breuker, J.: Dreams, awakenings and paradoxes of ontologies, invited talk presentation. In: 3rd Workshop on Legal Ontologies and Artificial Intelligence Techniques (2009),

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute of Control and Information EngineeringPoznań University of TechnologyPoznańPoland

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