Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil

To cope with society’s demand for transparency and corruption prevention, the Brazilian Office of the Comptroller General (CGU) has carried out a number of actions, including: awareness campaigns aimed at the private sector; campaigns to educate the public; research initiatives; and regular inspections and audits of municipalities and states. Although CGU has collected information from hundreds of different sources - Revenue Agency, Federal Police, and others - the process of fusing all this data has not been efficient enough to meet the needs of CGU’s decision makers. Therefore, it is natural to change the focus from data fusion to knowledge fusion. As a consequence, traditional syntactic methods must be augmented with techniques that represent and reason with the semantics of databases. However, commonly used approaches fail to deal with uncertainty, a dominant characteristic in corruption prevention. This paper presents the use of Probabilistic OWL (PR-OWL) to design and test a ...

• Type: Conference
• Year: 2009
• Where: SEMWEB
• Authors: Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa, Marcelo Ladeira, Laécio L. Santos, Shou Matsumoto
• Keywords: CGU’s Decision Makers, Corruption Prevention, Internet Technology, SEMWEB 2009, Traditional Syntactic Methods