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dc.contributor.authorDimyadi, J.
dc.contributor.authorFernando, S.
dc.contributor.authorDavies, Kath
dc.contributor.authorAmor, R.
dc.contributor.editorWajiha Mohsin Shahzad, Eziaku Onyeizu Rasheed, James Olabode Bamidele Rotimi
dc.description.abstractOne key ingredient in the automated compliance audit process is the availability of a computable form of normative requirements (e.g. codes and standards), which are usually written in natural language intended for human interpretation and not readily processable by machines. The predominantly ‘Blackbox’ approach of hardcoding these computable normative rules into a compliance audit system has been reported to be problematic and costly to maintain in response to frequent regulatory changes. The current research sets out to investigate to what extent normative texts can be represented as computable rules for automated compliance audit as well as to ease maintenance in response to changes in the source documents. A set of priority compliance documents supporting the New Zealand Building Code has been selected as the subject for a case study. This paper describes the digitisation and quality assurance process, the knowledge extraction experience, and challenges identified during the study. Furthermore, the paper explores how the legal knowledge captured by the digitised rules can be used effectively in an automated compliance audit environment. The findings from the study suggest that a semi-automated digitisation process is feasible and up to 80% of prescriptive text can be translated and encoded into the open standard LegalRuleML. However, only approximately 50% of these can be used directly in an automated compliance audit environment without any human intervention. The lessons learnt from the study can be used towards improving the digitisation process. Ultimately, this could in turn help to improve the natural language source text in subsequent revisions of the codes.en_NZ
dc.publisherNew Zealand Built Environment Research Symposium (NZBERS)en_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectNew Zealanden_NZ
dc.subjectNew Zealand Building Codeen_NZ
dc.subjectautomated compliance auditen_NZ
dc.subjectBIM (building information modelling)en_NZ
dc.subjectcomputable rulesen_NZ
dc.subjectaudit qualityen_NZ
dc.subjectbusiness rules enginesen_NZ
dc.titleComputerising the New Zealand Building Code for automated compliance auditen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.subject.marsden120201 Building Construction Management and Project Planningen_NZ
dc.subject.marsden150102 Auditing and Accountabilityen_NZ
dc.identifier.bibliographicCitationDimyadi, J., Fernando, S., Davies, K., & Amor, R. (2020). Computerising the New Zealand Building Code for Automated Compliance Audit. In Wajiha Mohsin Shahzad, Eziaku Onyeizu Rasheed, James Olabode Bamidele Rotimi (Ed.), Proceedings – New Zealand Built Environment Research Symposium , Vol. 6 (pp. 39-46). Retrieved from
unitec.publication.titlePROCEEDINGS 6th New Zealand Built Environment Research Symposium (NZBERS 2020)en_NZ
unitec.conference.title6th New Zealand Built Environment Research Symposium (NZBERS 2020)en_NZ
unitec.conference.orgNew Zealand Built Environment Research Symposium (NZBERS)en_NZ
unitec.conference.locationMassey University, Albany, New Zealanden_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationUniversity of Aucklanden_NZ
dc.contributor.affiliationCompliance Audit Systems Limited (N.Z.)en_NZ
unitec.publication.placeAlbany, New Zealanden_NZ
unitec.institution.studyareaConstruction + Engineering

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