Journal article 61 views
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data
Information, Volume: 15, Issue: 12, Start page: 759
Swansea University Authors: kuuku Anim, Livio Robaldo , Adam Wyner
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DOI (Published version): 10.3390/info15120759
Abstract
Automated Compliance Checking (ACC) has emerged as a critical tool for enforcing legal regulations across various domains. This paper contributes to ongoing research in Semantic Web technologies, particularly focusing on the execution of SHACL-SPARQL rules on RDF data. The RDF, being one of the most...
Published in: | Information |
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ISSN: | 2078-2489 |
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MDPI
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68487 |
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2024-12-09T12:37:55.1243552 v2 68487 2024-12-09 A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data bf3b60b3f57a5da2add996068307355e kuuku Anim kuuku Anim true false b711cf9f3a7821ec52bd1e53b4f6cf9e 0000-0003-4713-8990 Livio Robaldo Livio Robaldo true false 51fa34a3136b8e81fc273fce73e88099 0000-0002-2958-3428 Adam Wyner Adam Wyner true false 2024-12-09 Automated Compliance Checking (ACC) has emerged as a critical tool for enforcing legal regulations across various domains. This paper contributes to ongoing research in Semantic Web technologies, particularly focusing on the execution of SHACL-SPARQL rules on RDF data. The RDF, being one of the most widely used knowledge representation (KR) formats, serves as the foundation of our approach, ensuring compatibility with existing standards and enhancing interoperability. Our research enhances the aggregate and temporal aspects of ACC by addressing the limitations of traditional ACC methodologies, which often fall short in managing the nuanced temporal and aggregate requirements essential for legal reasoning. Through a case study analysis of selected regulations with aggregate and temporal facets in LI 2204, which regulates local content and participation in Ghana’s upstream petroleum industry, this paper demonstrates the effectiveness of the proposed solution in achieving these dimensions of ACC. The findings underscore the potential of Semantic Web technologies to transform ACC practices by moving towards standardized, interoperable solutions. All source codes are freely available online together with instructions to locally reproduce the simulations. Journal Article Information 15 12 759 MDPI 2078-2489 Automated compliance checking; RDF and SHACL; legal tech 29 11 2024 2024-11-29 10.3390/info15120759 COLLEGE NANME COLLEGE CODE Swansea University Other This research was supported by the projects “Cost Action CA19134: Distributed Knowledge Graphs” and “Innovate UK project 10106412: Odyssey - Opening the National Archive’s legal data to AI for A2J”. 2024-12-09T12:37:55.1243552 2024-12-09T12:32:36.9135918 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law kuuku Anim 1 Livio Robaldo 0000-0003-4713-8990 2 Adam Wyner 0000-0002-2958-3428 3 |
title |
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data |
spellingShingle |
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data kuuku Anim Livio Robaldo Adam Wyner |
title_short |
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data |
title_full |
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data |
title_fullStr |
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data |
title_full_unstemmed |
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data |
title_sort |
A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data |
author_id_str_mv |
bf3b60b3f57a5da2add996068307355e b711cf9f3a7821ec52bd1e53b4f6cf9e 51fa34a3136b8e81fc273fce73e88099 |
author_id_fullname_str_mv |
bf3b60b3f57a5da2add996068307355e_***_kuuku Anim b711cf9f3a7821ec52bd1e53b4f6cf9e_***_Livio Robaldo 51fa34a3136b8e81fc273fce73e88099_***_Adam Wyner |
author |
kuuku Anim Livio Robaldo Adam Wyner |
author2 |
kuuku Anim Livio Robaldo Adam Wyner |
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Journal article |
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Information |
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15 |
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12 |
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759 |
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2024 |
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Swansea University |
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2078-2489 |
doi_str_mv |
10.3390/info15120759 |
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MDPI |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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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 (ACC) has emerged as a critical tool for enforcing legal regulations across various domains. This paper contributes to ongoing research in Semantic Web technologies, particularly focusing on the execution of SHACL-SPARQL rules on RDF data. The RDF, being one of the most widely used knowledge representation (KR) formats, serves as the foundation of our approach, ensuring compatibility with existing standards and enhancing interoperability. Our research enhances the aggregate and temporal aspects of ACC by addressing the limitations of traditional ACC methodologies, which often fall short in managing the nuanced temporal and aggregate requirements essential for legal reasoning. Through a case study analysis of selected regulations with aggregate and temporal facets in LI 2204, which regulates local content and participation in Ghana’s upstream petroleum industry, this paper demonstrates the effectiveness of the proposed solution in achieving these dimensions of ACC. The findings underscore the potential of Semantic Web technologies to transform ACC practices by moving towards standardized, interoperable solutions. All source codes are freely available online together with instructions to locally reproduce the simulations. |
published_date |
2024-11-29T20:49:58Z |
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1821440054398025728 |
score |
11.047609 |