SmaRT visualisation of legal rules for compliance

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dc.contributor.authorSeppälä, Selja
dc.contributor.authorCeci, Marcello
dc.contributor.authorHuang, Hai
dc.contributor.authorO'Brien, Leona
dc.contributor.authorButler, Tom
dc.contributor.editorRodríguez-Doncel, Victor
dc.contributor.editorCasanovas, Pompeu
dc.contributor.editorGonzález-Conejero, Jorge
dc.date.accessioned2021-09-02T14:34:39Z
dc.date.available2021-09-02T14:34:39Z
dc.date.issued2018-01-17
dc.description.abstractThis paper presents a visualization technique to assist legal experts in formalising their interpretation of legal texts in terms of regulatory requirements. (Semi-)automation of compliance processes requires a machine-readable version of legal requirements in a format that enables effective compliance assessment. The use of a semi-structured controlled natural language as an intermediate step of the translation from a human-readable text to a machine-readable and understandable format ensures that the process of interpretation of those requirements is as simple as possible. However, it does not ensure that the formal representation resulting from the interpretation faithfully represents the intended semantics provided by the legal expert. Visualization techniques such as property graphs in Neo4j could fill this gap, allowing legal experts to understand and control the formal representation of the result of their act of interpretation.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSeppälä, S., Huang, H. and Ceci, M. (2017) ‘SmaRT visualisation of legal rules for compliance’, Proceedings of the 1st Workshop on Technologies for Regulatory Compliance, Luxembourg, 13 December, CEUR Workshop Proceedings, Vol-2049, pp. 73-85. Available at: http://ceur-ws.org/Vol-2049/08paper.pdf (Accessed: 2 September 2021)en
dc.identifier.endpage85en
dc.identifier.issn1613-0073
dc.identifier.journaltitleCEUR Workshop Proceedingsen
dc.identifier.startpage73en
dc.identifier.urihttps://hdl.handle.net/10468/11829
dc.identifier.volume2049en
dc.language.isoenen
dc.publisherCEUR Workshop Proceedingsen
dc.relation.ispartofProceedings of the 1st Workshop on Technologies for Regulatory Compliance
dc.relation.urihttp://ceur-ws.org/Vol-2049/08paper.pdf
dc.relation.urihttp://ceur-ws.org/Vol-2049/
dc.rights© 2018, the Authors.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectSBVRen
dc.subjectRegTechen
dc.subjectControlled natural languagesen
dc.subjectNeo4jen
dc.titleSmaRT visualisation of legal rules for complianceen
dc.typeConference itemen
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