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Modelling Legal Enforcement with UFO-L: A Case from Swedish Healthcare
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0001-7806-749X
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0002-7416-8725
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0001-9044-5836
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.ORCID-id: 0000-0003-3290-2597
Vise andre og tillknytning
Rekke forfattare: 52024 (engelsk)Inngår i: ER 2024 Workshops, AISA, CMLS, EmpER, QUAMES, JUSMOD LLM4Modeling, Pittsburgh, PA, USA, October 28–31, 2024 Proceedings / [ed] Motoshi Saeki; João Araujo; Anna Bernasconi; Silvana Castano; Hans-Georg Fill; Leah Wong; Clara Ayora; Matteo Buffa; Peter Fettke, Springer , 2024, s. 267-283Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Organisations are increasingly governed by complex and multilayered systems of rules and regulations. In heavily regulated sectors such as healthcare, compliance with these rules poses significant challenges. Not only can rule compliance conflict with organisational goals, but varying interpretations by enforcement actors can also lead to conflicting or unpredictable outcomes. Decisions by regulatory authorities and courts, equipped with fines and other sanctioning powers, create new institutional realities for organisations. One way to examine and understand these complex systems of rules and actors is through the use of ontologies. This paper aims to investigate how the UFO ontology, and, specifically, the legal core ontology UFO-L, can be used, or extended, for creating patterns for modelling of organisational rule enforcement. To facilitate this investigation, a legal case regarding Swedish healthcare was selected to identify requirements for an ontology for legal enforcement. These requirements were then compared with the representation capabilities of UFO-L. The investigation revealed strengths and weaknesses of UFO-L and provided suggestions for its modification.

sted, utgiver, år, opplag, sider
Springer , 2024. s. 267-283
Serie
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 14932
Emneord [en]
Enterprise modelling, Compliance, Rule enforcement, UFO-L, Ontology, Healthcare, Legal Design
HSV kategori
Forskningsprogram
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-235705DOI: 10.1007/978-3-031-75599-6_20OAI: oai:DiVA.org:su-235705DiVA, id: diva2:1914450
Konferanse
ER 2024 Workshops, AISA, CMLS, EmpER, QUAMES, JUSMOD LLM4Modeling, Pittsburgh, USA, October 28–31, 2024.
Tilgjengelig fra: 2024-11-19 Laget: 2024-11-19 Sist oppdatert: 2024-11-20bibliografisk kontrollert

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Lindeberg, JöranJohannesson, PaulPerjons, ErikHenkel, MartinFast Lappalainen, Katarina

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