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

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

doi:https://doi.org/10.1007/978-3-030-89811-3_17

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

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

Research output: Chapter in Book › Chapter › Research › peer-review

Abstract

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).

Original language	English
Title of host publication	AI Approaches to the Complexity of Legal Systems XI-XII
Place of Publication	Cham
Publisher	Springer Nature
Pages	247-259
Number of pages	13
ISBN (Print)	978-3-030-89810-6, 978-3-030-89811-3
DOIs	https://doi.org/10.1007/978-3-030-89811-3_17
Publication status	Published - 2021

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Cham
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Identity resolution
Social graph
Semantic interoperability
Privacy

Access to Document

https://doi.org/10.1007/978-3-030-89811-3_17Licence: C In Copyright

SPIRIT: Scalable privacy preserving intelligence analysis for resolving identities (SPIRIT)
Gonzalez Conejero, J., Roig Batalla, A., Teodoro Martinez, E., Varela Figueroa, R. & Zapater Duque, E.
1/08/18 → 31/10/21
Project: International research project

Cite this

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title = "SPIRIT:: Semantic and Systemic Interoperability for Identity Resolution in Intelligence Analysis",

abstract = "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{\textquoteright}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).",

keywords = "Identity resolution, Social graph, Semantic interoperability, Privacy",

author = "{Casanovas Romeu}, Pompeu and Costas Davarakis and Eva Blomqvist and Marco Timmerman",

note = "SPIRIT. Scalable Privacy Preserving Intelligence Analysis for Resolving Identities. European Commission. Contract 786993",

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doi = "https://doi.org/10.1007/978-3-030-89811-3_17",

language = "English",

isbn = "978-3-030-89810-6",

series = "Lecture Notes in Computer Science",

publisher = "Springer Nature",

pages = "247--259",

booktitle = "AI Approaches to the Complexity of Legal Systems XI-XII",

}

SPIRIT: Semantic and Systemic Interoperability for Identity Resolution in Intelligence Analysis. / Casanovas Romeu, Pompeu; Davarakis, Costas; Blomqvist, Eva et al.

AI Approaches to the Complexity of Legal Systems XI-XII. Cham : Springer Nature, 2021. p. 247-259 (Lecture Notes in Computer Science).

Research output: Chapter in Book › Chapter › Research › peer-review

TY - CHAP

T1 - SPIRIT:

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AU - Casanovas Romeu, Pompeu

AU - Davarakis, Costas

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AB - 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).

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PB - Springer Nature

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ER -

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

Abstract

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Keywords

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Projects

SPIRIT: Scalable privacy preserving intelligence analysis for resolving identities (SPIRIT)

Cite this