SPIRIT: Semantic and Systemic Interoperability for Identity Resolution in Intelligence Analysis

Pompeu Casanovas Romeu, Costas Davarakis, Eva Blomqvist, Marco Timmerman

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Resumen

This paper introduces the SPIRIT H2020 Project. The SPIRIT identity resolution service has been designed to learn about identity patterns, to build up a social graph related to them, and thereby facilitate LEA’s investigation work. The paper will briefly discuss the main task of identity resolution, the privacy controller system, the SPIRIT prototype that will realise the solution, and the ontology to embed privacy into the system. It also discusses a specific technical and legal challenge—i.e., semantic interoperability when integrating SPIRIT data—and its coordination at the agency level with human decision making—systemic interoperability. This paper takes into account the SPIRIT testing prototype and the first revision version (proof of concept prototype).
Idioma originalInglés
Título de la publicación alojadaAI Approaches to the Complexity of Legal Systems XI-XII
Lugar de publicaciónCham
EditorialSpringer Nature
Páginas247-259
Número de páginas13
ISBN (versión impresa)978-3-030-89810-6, 978-3-030-89811-3
DOI
EstadoPublicada - 2021

Serie de la publicación

NombreLecture Notes in Computer Science
EditorialSpringer Cham
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Huella

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