Engineering an Ontology of Financial Securities Fraud

  • Gang Zhao
  • John Kingston
  • Koen Kerremans
  • Frederick Coppens
  • Ruben Verlinden
  • Rita Temmerman
  • Robert Meersman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3292)


This paper discusses the approach of ontology-based knowledge engineering in FF POIROT, a project to explore the use of ontology technology in information systems against financial fraud. A fraud forensic ontology is being developed from laws, regulations and cases about illegal solicitation of financial products on the web. The knowledge development is based on the DOGMA ontology paradigm, and the derived ontology engineering methodology AKEM. The regulatory ontology engineering is a multi-disciplinary and distributed team work through a series of tasks and deliverables with emphasis on the traceability of decision making in the development. The machine ontology extraction and a manually constructed bilingual terminological database, is used to support the ontology modelling process.


Ontological Commitment Knowledge Resource Ontology Modelling Ontology Development Ontology Engineering 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Gang Zhao
    • 1
  • John Kingston
    • 2
  • Koen Kerremans
    • 3
  • Frederick Coppens
    • 4
  • Ruben Verlinden
    • 1
  • Rita Temmerman
    • 3
  • Robert Meersman
    • 1
  1. 1.STARLab, Computer ScienceVrije Universiteit BrusselBelgium
  2. 2.Joseph Bell CentreUniversity of EdinburghScotland
  3. 3.CVCErasmushogeschool BrusselBelgium
  4. 4.Language & Computing NVBelgium

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