The FF Poirot Project IST 2001-38248
Positioned in the context of Semantic Web endeavour, the
project seeks to build computable knowledge resources, ontology of financial
forensics, from financial and legal expertise in detecting and preventing fraud
in VAT processes, securities exchange, investment and banking and insurance
It explores the enabling ontology technology, tools and methodology to
represent, store, model, mine, integrate, and use ontology of financial
forensics. It focuses on the adaptation of database principles and methodologies
for modeling large-scale ontology-based knowledge systems.
It will propose methodology and guidelines in ontology engineering and
processing with respect to the technology developed, research conducted, and
fieldwork experience in ontology modeling in the consortium.
Since human expertise and knowledge are expressed, structured and conveyed by
languages, ontology engineering has close relationship with language
engineering. In recognition of this technological kinship and EU application
context, the consortium will build up multilingual terminological bases as
'medium' for the concept repositories and their applications. The languages
under attention are English, French, Italian and Dutch.
Resultant knowledge resources, methodology and technologies can be exploited as
part of information systems or processes to detect, investigate or preventing
instances of actual or attempted financial fraud. For example, investigative and
monitoring bodies can benefit from intelligent information retrieval on the
conceptual level, with the FF POIROT ontology. Financial professionals, such as
accountants, auditors, banks, insurance agencies, government departments,
regulators and financial experts can use such ontology as an authoritative
concept base to make sense of their data cross domains, systems and languages.
The consortium will demonstrate the added value of its ontology contents and
technology with showcase applications based on the real user's requirements.
The Artificial Intelligence Group at Tor Vergata University (RTV)
is working jointly with Consob and Knowledge Stone (KS) at the design and
implementation of the Financial Fraud Ontology as requested by the Consob
Consortium. RTV is also taking care of the construction of fraud detection
rules able to detect financial fraud web site by applying automatic
reasoning techniques to the implemented ontology and analyzing the web using
Information Extraction (IE) and Natural Language Processing (NLP) methodologies.
In order to build the ontology an NLP architecture is being set-up: the final
architecture will be able to deliver a specific ontological content related to
the domain ontology using semi-supervised techniques. For more info about the
architecture building framework, visit the
Language-centred Ontology Learning page .
The ontological content, together with the detection rules, is expected to be
released for the end of October 2004.