Organized crime structure modelling for european law enforcement agencies interoperability through ontologies

Jorge Gonźalez-Conejero, Rebeca Varela Figueroa, Juan Mũnoz-Gomez, Emma Teodoro

Producción científica: Capítulo de libroCapítuloInvestigaciónrevisión exhaustiva

5 Citas (Scopus)

Resumen

© Springer-Verlag Berlin Heidelberg 2014. Nowadays, organized crime networks share intelligence and knowledge as a fundamental asset for their members, thus making criminal organizations more global in nature and activities. Internet has consequently become the natural environment for these organizations. This evolution has put a bigger pressure in Law Enforcement Agencies (LEAs) demanding more efforts and resources in the fight against transnational organized crime. LEAs can therefore profit from international cooperation in fighting these organizations. However, differences among legal frameworks, languages and police and judicial culture may create interoperability issues. The CAPER project addressed the prevention of transnational organized crime by trying to provide the needed interoperability among the different European LEAs. In this work, we introduce a supranational Organized Crime Structure (OCS) modelled through an ontology in order to improve European LEAs Interoperability (ELIO). Results suggest that ELIO is able to provide the required interoperability features, overcoming the issues that arise in this scenario.
Idioma originalInglés
Título de la publicación alojadaAI Approaches to theComplexity of Legal Systems
Subtítulo de la publicación alojadaAICOL 2013 International Workshops, AICOL-IV@IVR, Belo Horizonte, Brazil, July 21-27, 2013 and AICOL-V@SINTELNET-JURIX, Bologna, Italy, December 11, 2013, Revised Selected Papers
EditoresPompeu Casanovas, Ugo Pagallo, Monica Palmirani, Giovanni Sartor
Lugar de publicaciónCham
Páginas217-231
Edición1
ISBN (versión digital)978-3-662-45960-7
DOI
EstadoPublicada - 1 ene 2014

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorialSpringer-Verlag
Volumen8929
ISSN (versión impresa)0302-9743

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