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Authors: Clara Bacciu ; Fabio Valsecchi ; Matteo Abrate ; Maurizio Tesconi and Andrea Marchetti

Affiliation: CNR, Italy

Keyword(s): Open Source Intelligence, Information Extraction, Web Search, Tax Evasion.

Abstract: Tax evasion is a widespread phenomenon confirmed by numerous European and American reports. To contrast it, governments already adopt software solutions that support tax inspectors in their investigations. However, the currently existing systems do not normally take advantage of the constant stream of data published on the Web. Instead, the ASIA project aims to prove the effectiveness of combining this kind of open source information with official data contained in Public Administration archives to fight tax evasion. Our prototype platform deals with two cases of investigation, people and businesses. Public officers have been involved throughout the project, and took part in a preliminary test phase which showed very promising results.

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Paper citation in several formats:
Bacciu, C.; Valsecchi, F.; Abrate, M.; Tesconi, M. and Marchetti, A. (2015). ASIA - An Investigation Platform for Exploiting Open Source Information in the Fight Against Tax Evasion. In Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-106-9; ISSN 2184-3252, SciTePress, pages 512-517. DOI: 10.5220/0005480105120517

@conference{webist15,
author={Clara Bacciu. and Fabio Valsecchi. and Matteo Abrate. and Maurizio Tesconi. and Andrea Marchetti.},
title={ASIA - An Investigation Platform for Exploiting Open Source Information in the Fight Against Tax Evasion},
booktitle={Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST},
year={2015},
pages={512-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005480105120517},
isbn={978-989-758-106-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST
TI - ASIA - An Investigation Platform for Exploiting Open Source Information in the Fight Against Tax Evasion
SN - 978-989-758-106-9
IS - 2184-3252
AU - Bacciu, C.
AU - Valsecchi, F.
AU - Abrate, M.
AU - Tesconi, M.
AU - Marchetti, A.
PY - 2015
SP - 512
EP - 517
DO - 10.5220/0005480105120517
PB - SciTePress

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