Advertisement

Towards a Topical Ontology of Fraud

  • Gang Zhao
  • Robert Meersman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)

Abstract

The paper describes the concept of topical ontology and the development of a topical ontology of fraud. A topical ontology is concerned with a set of themes identified to represent the knowledge structure of the domain expert. It reflects the specific scope, perspectives and granularity of conceptualization about the themes. It sits on the base ontology, integrates multiple domain ontology and serves as the knowledge framework for application ontologies. It is architected with a basic conceptual schema and configuration design pattern to capture the knowledge structure as well as concepts and relations of the knowledge.

Keywords

Design Pattern Knowledge Structure Domain Ontology Ontology Engineering Financial Fraud 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Albrecht, W.: Fraud Examination. Thomson South-Western, Ohio (2003)Google Scholar
  2. 2.
    Delgado, J., et al.: An Ontology for Intellectual Property Rights: IPROnto. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342. Springer, Heidelberg (2002)Google Scholar
  3. 3.
    Halpin, T.: Information Modeling and Relational Databases: from Conceptual Analysis to Logical Design. Morgan Kaufmann, San Francisco (2001)Google Scholar
  4. 4.
    Jarrar, M., Demy, J., Meersman, R.: On Using Conceptual Data Modeling for Ontology Engineering. Journal on Data Semantics, 1238–1254 (2003)Google Scholar
  5. 5.
    Masolo, C., et al.: The WonderWeb library of Foundational Ontologies, Deliverable D17 Preliminary Report (2002)Google Scholar
  6. 6.
    Meersman, R.: Reusing Certain Database Design Principles, Methods and Techniques for Ontology Theory, Construction and Methodology, STARLab Technical Report, Vrije Universiteit Brussel (2000)Google Scholar
  7. 7.
    Niles, I., Pease, A.: Towards a Standard Upper Ontology. In: Proceedings of the 2nd International Conference on Formal Ontology in Information Systems (2001)Google Scholar
  8. 8.
    Wells, J.: Encyclopedia of Fraud. Association of Certified Fraud Examiners, Texas (2005)Google Scholar
  9. 9.
    Zhao, G., Kingston, J., Kerremans, K., Coppens, F., Verlinden, R., Temmerman, R., Meersman, R.: Engineering an Ontology of Financial Securities Fraud. In: Meersman, R., Tari, Z., Corsaro, A. (eds.) OTM-WS 2004. LNCS, vol. 3292, pp. 605–620. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  10. 10.
    Zhao, G., Meersman, R.: Architecting Ontology for Scalability and Versatility. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3761, pp. 1605–1614. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gang Zhao
    • 1
  • Robert Meersman
    • 2
  1. 1.IntelartesBruxelles 4Belgium
  2. 2.STARLab, Computer ScienceVrije Universiteit BrusselBelgium

Personalised recommendations