The paper describes Redada, a fully-implemented ontology-based relation extraction system that integrates classical NLP techniques with expert knowledge expressed by ontologies. Experimenting with the system for the task of supporting law enforcement and intelligence activities against money laundering and corruption, exploring information out of Italian newspapers to help in the identification of networks of activities, both legal and illegal, we evaluate the proposed system against a standard baseline approach, and we present our first results.

Redada: Mining Knowledge out of Italian Business News Items

A Bellandi;
2010

Abstract

The paper describes Redada, a fully-implemented ontology-based relation extraction system that integrates classical NLP techniques with expert knowledge expressed by ontologies. Experimenting with the system for the task of supporting law enforcement and intelligence activities against money laundering and corruption, exploring information out of Italian newspapers to help in the identification of networks of activities, both legal and illegal, we evaluate the proposed system against a standard baseline approach, and we present our first results.
Campo DC Valore Lingua
dc.authority.people A Bellandi it
dc.authority.people S Nasoni it
dc.authority.people D Tarini it
dc.authority.people A Tommasi it
dc.authority.people C Zavattari it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 11:09:19 -
dc.date.available 2024/02/20 11:09:19 -
dc.date.issued 2010 -
dc.description.abstract The paper describes Redada, a fully-implemented ontology-based relation extraction system that integrates classical NLP techniques with expert knowledge expressed by ontologies. Experimenting with the system for the task of supporting law enforcement and intelligence activities against money laundering and corruption, exploring information out of Italian newspapers to help in the identification of networks of activities, both legal and illegal, we evaluate the proposed system against a standard baseline approach, and we present our first results. -
dc.description.affiliations Metaware SpA - Pisa, Italy -
dc.description.allpeople Bellandi, A; Nasoni, S; Tarini, D; Tommasi, A; Zavattari, C -
dc.description.allpeopleoriginal A. Bellandi, S. Nasoni, D. Tarini, A. Tommasi, C. Zavattari -
dc.description.fulltext none en
dc.description.numberofauthors 5 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/265112 -
dc.language.iso eng -
dc.relation.conferencedate 15-17/02/2010 -
dc.relation.conferencename Tenth IASTED International Conference on Artificial Intelligence and Applications, 2010 -
dc.relation.conferenceplace Innsbruck -
dc.title Redada: Mining Knowledge out of Italian Business News Items en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.ugov.descaux1 272218 -
iris.orcid.lastModifiedDate 2024/04/04 11:57:37 *
iris.orcid.lastModifiedMillisecond 1712224657598 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/265112
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