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A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data
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Adam Wyner
Information, Volume: 15, Issue: 12, Start page: 759
Swansea University Authors:
kuuku Anim, Livio Robaldo , Adam Wyner
Full text not available from this repository: check for access using links below.
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 |
| Published: |
MDPI
2024
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa68487 |
| 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’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. |
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| Keywords: |
Automated compliance checking; RDF and SHACL; legal tech |
| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
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”. |
| Issue: |
12 |
| Start Page: |
759 |