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Efficient compliance checking of RDF data

Livio Robaldo Orcid Logo, Francesco Pacenza, Jessica Zangari, Roberta Calegari, Francesco Calimeri, Giovanni Siragusa

Journal of Logic and Computation, Volume: 33, Issue: 8, Pages: 1753 - 1776

Swansea University Author: Livio Robaldo Orcid Logo

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DOI (Published version): 10.1093/logcom/exad034

Abstract

Automated compliance checking, i.e. the task of automatically assessing whether states of affairs comply with normative systems, has recently received a lot of attention from the scientific community, also as a consequence of the increasing investments in Artificial Intelligence technologies for the...

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Published in: Journal of Logic and Computation
ISSN: 0955-792X 1465-363X
Published: Oxford University Press (OUP) 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa63627
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spelling 2024-09-16T16:45:33.8586750 v2 63627 2023-06-13 Efficient compliance checking of RDF data b711cf9f3a7821ec52bd1e53b4f6cf9e 0000-0003-4713-8990 Livio Robaldo Livio Robaldo true false 2023-06-13 HRCL Automated compliance checking, i.e. the task of automatically assessing whether states of affairs comply with normative systems, has recently received a lot of attention from the scientific community, also as a consequence of the increasing investments in Artificial Intelligence technologies for the legal domain (LegalTech). The authors of this paper deem as crucial the research and implementation of compliance checkers that can directly process data in RDF format, as nowadays more and more (big) data in this format are becoming available worldwide, across a multitude of different domains. Among the automated technologies that have been used in recent literature, to the best of our knowledge, only two of them have been evaluated with input states of affairs encoded in RDF format. This paper formalizes a selected use case in these two technologies and compares the implementations, also in terms of simulations with respect to shared synthetic datasets. Journal Article Journal of Logic and Computation 33 8 1753 1776 Oxford University Press (OUP) 0955-792X 1465-363X 11 12 2023 2023-12-11 10.1093/logcom/exad034 COLLEGE NANME Hillary Rodham Clinton Law School COLLEGE CODE HRCL Swansea University SU Library paid the OA fee (TA Institutional Deal) Livio Robaldo has been supported by the Legal Innovation Lab Wales operation within Swansea University's Hillary Rodham Clinton School of Law. The operation has been part-funded by the European Regional Development Fund through the Welsh Government. Francesco Calimeri, Francesco Pacenza, and Jessica Zangari acknowledge the support of the PNRR project FAIR - Future AI Research (PE00000013), Spoke 9 - Green-aware AI, under the NRRP MUR program funded by the NextGenerationEU, and the support of the project PRIN PE6, Title: Declarative Reasoning over Streams'', funded by the Italian Ministero dell'Università, dell'Istruzione e della Ri cerca (MIUR), CUP:H24I17000080001. The research of Roberta Calegari has been partially supported by the CompuLaw'' project, funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant Agreement No. 833647). 2024-09-16T16:45:33.8586750 2023-06-13T11:34:33.6234870 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law Livio Robaldo 0000-0003-4713-8990 1 Francesco Pacenza 2 Jessica Zangari 3 Roberta Calegari 4 Francesco Calimeri 5 Giovanni Siragusa 6 63627__27918__745a4a5f78d44da4a5ce7b711d86130a.pdf 63627.pdf 2023-06-21T14:49:33.7825735 Output 2978799 application/pdf Version of Record true © The Author(s) 2023. Published by Oxford University Press. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title Efficient compliance checking of RDF data
spellingShingle Efficient compliance checking of RDF data
Livio Robaldo
title_short Efficient compliance checking of RDF data
title_full Efficient compliance checking of RDF data
title_fullStr Efficient compliance checking of RDF data
title_full_unstemmed Efficient compliance checking of RDF data
title_sort Efficient compliance checking of RDF data
author_id_str_mv b711cf9f3a7821ec52bd1e53b4f6cf9e
author_id_fullname_str_mv b711cf9f3a7821ec52bd1e53b4f6cf9e_***_Livio Robaldo
author Livio Robaldo
author2 Livio Robaldo
Francesco Pacenza
Jessica Zangari
Roberta Calegari
Francesco Calimeri
Giovanni Siragusa
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container_title Journal of Logic and Computation
container_volume 33
container_issue 8
container_start_page 1753
publishDate 2023
institution Swansea University
issn 0955-792X
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doi_str_mv 10.1093/logcom/exad034
publisher Oxford University Press (OUP)
college_str Faculty of Humanities and Social Sciences
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department_str Hilary Rodham Clinton School of Law{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}Hilary Rodham Clinton School of Law
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description Automated compliance checking, i.e. the task of automatically assessing whether states of affairs comply with normative systems, has recently received a lot of attention from the scientific community, also as a consequence of the increasing investments in Artificial Intelligence technologies for the legal domain (LegalTech). The authors of this paper deem as crucial the research and implementation of compliance checkers that can directly process data in RDF format, as nowadays more and more (big) data in this format are becoming available worldwide, across a multitude of different domains. Among the automated technologies that have been used in recent literature, to the best of our knowledge, only two of them have been evaluated with input states of affairs encoded in RDF format. This paper formalizes a selected use case in these two technologies and compares the implementations, also in terms of simulations with respect to shared synthetic datasets.
published_date 2023-12-11T05:23:40Z
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