HEAL DSpace

Towards a generic fraud ontology in e-government

Αποθετήριο DSpace/Manakin

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dc.contributor.author Alexopoulos, P en
dc.contributor.author Kafentzis, K en
dc.contributor.author Benetou, X en
dc.contributor.author Tagaris, T en
dc.contributor.author Georgolios, P en
dc.date.accessioned 2014-03-01T02:44:59Z
dc.date.available 2014-03-01T02:44:59Z
dc.date.issued 2007 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32073
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-61849143766&partnerID=40&md5=271d21dc2f4ac12e12807b524a213e30 en
dc.relation.uri http://www.informatik.uni-trier.de/~ley/db/conf/icete/ice-b2007.html#AlexopoulosKBTG07 en
dc.relation.uri http://iwebcare.iisa-innov.com/documents/Towards%20a%20Generic%20Fraud%20Ontology%20in%20e-Government.pdf en
dc.subject E-government en
dc.subject Fraud detection en
dc.subject Ontologies en
dc.subject.other Electronic commerce en
dc.subject.other Government data processing en
dc.subject.other Information management en
dc.subject.other Knowledge representation en
dc.subject.other Domain specifics en
dc.subject.other E-government en
dc.subject.other Fraud detection en
dc.subject.other Fraud detection systems en
dc.subject.other Knowledge engineers en
dc.subject.other Main characteristics en
dc.subject.other Ontology-based en
dc.subject.other Prevention systems en
dc.subject.other Rule-based reasonings en
dc.subject.other Ontology en
dc.title Towards a generic fraud ontology in e-government en
heal.type conferenceItem en
heal.publicationDate 2007 en
heal.abstract Fraud detection and prevention systems are based on various technological paradigms but the two prevailing approaches are rule-based reasoning and data mining. In this paper we claim that ontologies, an increasingly popular and widely accepted knowledge representation paradigm, can help both of these approaches be more efficient as far as fraud detection is concerned and we introduce a methodology for building domain specific fraud ontologies in the e-government domain. The main characteristic of this methodology is a generic fraud ontology that serves as a common ontological basis on which the various domain specific fraud ontologies can be built. The methodology along with the generic fraud ontology consist a powerful conceptual tool through which knowledge engineers can easily adapt ontology-based fraud detection systems to virtually any e-government domain. en
heal.journalName ICE-B 2007 - Proceedings of the 2nd International Conference on e-Business en
dc.identifier.spage 269 en
dc.identifier.epage 276 en


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