No Cover Image

Journal article 61 views

A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data

kuuku Anim, Livio Robaldo Orcid Logo, Adam Wyner Orcid Logo

Information, Volume: 15, Issue: 12, Start page: 759

Swansea University Authors: kuuku Anim, Livio Robaldo Orcid Logo, Adam Wyner Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

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...

Full description

Published in: Information
ISSN: 2078-2489
Published: MDPI 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa68487
first_indexed 2024-12-09T19:47:27Z
last_indexed 2024-12-09T19:47:27Z
id cronfa68487
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2024-12-09T12:37:55.1243552</datestamp><bib-version>v2</bib-version><id>68487</id><entry>2024-12-09</entry><title>A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data</title><swanseaauthors><author><sid>bf3b60b3f57a5da2add996068307355e</sid><firstname>kuuku</firstname><surname>Anim</surname><name>kuuku Anim</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>b711cf9f3a7821ec52bd1e53b4f6cf9e</sid><ORCID>0000-0003-4713-8990</ORCID><firstname>Livio</firstname><surname>Robaldo</surname><name>Livio Robaldo</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>51fa34a3136b8e81fc273fce73e88099</sid><ORCID>0000-0002-2958-3428</ORCID><firstname>Adam</firstname><surname>Wyner</surname><name>Adam Wyner</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-12-09</date><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 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&#x2019;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.</abstract><type>Journal Article</type><journal>Information</journal><volume>15</volume><journalNumber>12</journalNumber><paginationStart>759</paginationStart><paginationEnd/><publisher>MDPI</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2078-2489</issnElectronic><keywords>Automated compliance checking; RDF and SHACL; legal tech</keywords><publishedDay>29</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-11-29</publishedDate><doi>10.3390/info15120759</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm>Other</apcterm><funders>This research was supported by the projects &#x201C;Cost Action CA19134: Distributed Knowledge Graphs&#x201D; and &#x201C;Innovate UK project 10106412: Odyssey - Opening the National Archive&#x2019;s legal data to AI for A2J&#x201D;.</funders><projectreference/><lastEdited>2024-12-09T12:37:55.1243552</lastEdited><Created>2024-12-09T12:32:36.9135918</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">Hilary Rodham Clinton School of Law</level></path><authors><author><firstname>kuuku</firstname><surname>Anim</surname><order>1</order></author><author><firstname>Livio</firstname><surname>Robaldo</surname><orcid>0000-0003-4713-8990</orcid><order>2</order></author><author><firstname>Adam</firstname><surname>Wyner</surname><orcid>0000-0002-2958-3428</orcid><order>3</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 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
format Journal article
container_title Information
container_volume 15
container_issue 12
container_start_page 759
publishDate 2024
institution Swansea University
issn 2078-2489
doi_str_mv 10.3390/info15120759
publisher MDPI
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str Hilary Rodham Clinton School of Law{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}Hilary Rodham Clinton School of Law
document_store_str 0
active_str 0
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
_version_ 1821440054398025728
score 11.047609