@inbook{2ce8f8a3dc0a4377adf9642836d1d594,
title = "Organized crime structure modelling for european law enforcement agencies interoperability through ontologies",
abstract = "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.",
keywords = "Interoperability, Knowledge acquisition, Law enforcement agencies cooperation, Ontologies, Transnational organized crime",
author = "Jorge Gon{\'z}alez-Conejero and Figueroa, {Rebeca Varela} and Juan Mũnoz-Gomez and Emma Teodoro",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-662-45960-7",
language = "English",
isbn = "978-3-662-45959-1",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "217--231",
editor = "Pompeu Casanovas and Ugo Pagallo and Monica Palmirani and Giovanni Sartor",
booktitle = "AI Approaches to theComplexity of Legal Systems",
edition = "1",
}
