Application of the SDL Library to Reveal Legal Sanctions for Crime Perpetrators in Selected Economic Crimes: Fraudulent Disbursement and Money Laundering.
Maciej Falkowski, Jarosław Bąk, Czesław Jędrzejek · Rules and Rule Markup Languages for the Semantic Web · 2010
As a part of the PPBW (Polish Platform for Homeland Security), we have developed tools that help investigators and prosecutors to conduct investigations of financial crimes and manage the data gathered. The most important task is to transform data into knowledge that allows for classification of illegal activities and assignment of sanctions based on the roles of people in companies. In this demo we present an application of the Semantic Data Library (SDL) to the problem of gathering, managing, querying and interpreting data relevant to building the evidence necessary for an indictment. The SDL uses and integrates a rule engine, a relational database, an ontology and a set of rules specific to a given crime typology. This combination allows querying and inferring a crime scheme and identifies possible charges; in particular, it discovers crime activities and roles (of particular types of owners, managers, directors and chairs) using concepts, appropriate relations and rules. We present results achieved with SDL and an ontology, called the ‘minimal model,’ of a fraudulent disbursement committed by management, accompanied by money laundering. Prospects on future development of the SDL tool are presented.