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Prevention of money-laundering and fiscal fraud: the BRACCO project. David Mitzman, InfoCamere, IT. ECRF 2010 - Budapest, Hungary 14 June, 2010. contents. the BRACCO project the BRACCO software system: what it does and how the next steps. Intro to BRACCO.
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Prevention of money-laundering and fiscal fraud: the BRACCO project David Mitzman, InfoCamere, IT ECRF 2010 - Budapest, Hungary 14 June, 2010
contents • the BRACCOproject • the BRACCO software system: what it does and how • the next steps
Intro to BRACCO BRACCO is a 2-year project, from December 2008 to December 2010 It is co-financed by the EC Directorate General Justice, Liberty and Security Partners: InfoCamere and Metaware (left the project in April)
Objectives of the project The project contributes to the fight against fiscal crime by developing a search & investigation system to collect, aggregate, process, analyse and visualise information extracted from different public sources. Such investigation is normally highly labour- and knowledge-intensive, requiring making sense out of a deluge of data.
Why should BRs get involved? AML is not (necessarily*) a Business Register service, but it is an important area of collaboration between administrations. * - some Registers are interested in monitoring their territories and all are interested in supporting thorough due diligence procedures.
the service context or market The data sources include public registers such as the Business Register, the Insolvency and defaulters databases, yearly accounts statements, as well as newspaper articles. Customer databases can also be integrated to provide additional relations for custom-tailored applications (Fiscal Police, Tax Authority, Stock Exchange Authority, Local Business Regulation Agencies)
the service context or market A first (simple) product of this type is being used by the Fiscal Police and was introduced in 2009 to all the Italian Chambers of Commerce (BRs). In 2010 it will be released as part of the standard Business Register access system.
the DeVisu navigator A first (simple) product of this type is being used by the Fiscal Police and was introduced in 2009 into the Chamber of Commerce system. In 2010 it will be released as part of the standard Business Register access system.
Techniques in fiscal crime detection and prevention • Integrate and aggregate different data sources • NLP for analysis of free-text information such as newspaper articles • Data Visualisation – “social networks” • Data Analytics - analyse networks for special features, to detect patterns or series of events • Notify relevant authorities of events
Relationships • Relations between companies and/or people: • ownership, company roles, personal and professional relations or family ties, events such as transfer of shares, mergers, involvement in fiscal crimes and the related investigations
BRACCO software tools • analysis of free-text • data normalisation based on a model of the domain (rules and taxonomies governing the relationships - ontology) and based on a unique identification of subjects • an inference engine to further analyse the relations and draw conclusions (further relations) • graph analysis (“social network analysis”) and statistics on groups or clusters of companies • visual navigation of relations
three main layers of components presentation layer processing & storage data sources
central knowledge presentation layer data analysis BRACCO Ontology data access data sources
abstract and concrete knowledge presentation layer data analysis description of real world real-world facts and occurrences data access data sources
structured and non-structured data presentation layer data analysis Taxonomies & rules Relations graph DB adapters Natural Language Processing BusinessRegister Private- client DBs WWW spiders OnlineNewspapers
analysing and enriching the knowledge presentation layer inference engine statistical analysis graph analysis Taxonomies & rules Relations graph graph statistics warehouse DB adapters Natural Language Processing Business Register Private- client DBs WWW spiders Online Newspapers
Reports, dossier BRACCO Navigators (DeVisu, Redada, Soci-N) statistical analysis inferenceengine graphanalysis Taxonomies & rules graphstatisticswarehouse Relationsgraph(DB) DB connectors Natural Language Processing Business Register Other PA DBs WWW Online Newspapers outputs: navigation and reports
Berlusconi “tree” [not the entire “web” of relations]
The next steps • Further development of the data analysis techniques and statistics on groups • Application to nearby domains (Naples project on Public Tenders) • Validation with international shareholders data (Infogreffe); presentations and experiments (data exchange) with other BR’s
future steps • data reliability measures • unique identification of subjects • new, customer-supplied relations