Abstract. 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.