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Authors: Panos Alexopoulos 1 ; Kostas Kafentzis 1 ; Xanthi Benetou 2 ; Tassos Tagaris 2 and Panos Georgolios 1

Affiliations: 1 IMC Research, Greece ; 2 Institute of Communication and Computer Systems, National Technical University of Athens, Greece

ISBN: 978-989-8111-11-1

Keyword(s): Ontologies, e-Government, Fraud Detection.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Business and Social Applications ; Collaboration and e-Services ; Computational Intelligence ; Computer-Supported Education ; Domain Applications and Case Studies ; e-Business ; Enterprise Information Systems ; Fuzzy Systems ; Government ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Engineering and Ontology Development ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Medical Applications ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Symbolic Systems ; Theory and Methods ; Web Information Systems and Technologies

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.

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Paper citation in several formats:
Alexopoulos P.; Kafentzis K.; Benetou X.; Tagaris T.; Georgolios P. and (2007). TOWARDS A GENERIC FRAUD ONTOLOGY IN E-GOVERNMENT.In Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007) ISBN 978-989-8111-11-1, pages 269-276. DOI: 10.5220/0002112602690276

@conference{ice-b07,
author={Panos Alexopoulos and Kostas Kafentzis and Xanthi Benetou and Tassos Tagaris and Panos Georgolios},
title={TOWARDS A GENERIC FRAUD ONTOLOGY IN E-GOVERNMENT},
booktitle={Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007)},
year={2007},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002112602690276},
isbn={978-989-8111-11-1},
}

TY - CONF

JO - Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007)
TI - TOWARDS A GENERIC FRAUD ONTOLOGY IN E-GOVERNMENT
SN - 978-989-8111-11-1
AU - Alexopoulos, P.
AU - Kafentzis, K.
AU - Benetou, X.
AU - Tagaris, T.
AU - Georgolios, P.
PY - 2007
SP - 269
EP - 276
DO - 10.5220/0002112602690276

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