Construction informatics: Definition and ontology

Turk, Žiga

doi:10.1016/j.aei.2005.10.002

Cited by 77 publications

(51 citation statements)

References 4 publications

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“…There are many formal and informal definitions of ontology (Turk, 2006) and how one should be constructed; this project has not adopted formal representations such as OWL but future work will investigate this in more detail. The ontology classes used have been based on the existing UK classification standards, the New Rules of Measurement for cost estiand UniClass (CPIC, 1997).…”

Section: Figure 2 Rule Authoring Interfacementioning

confidence: 99%

Rule driven enhancement of BIM models

Nisbet¹,

Lockley²,

Černý³

et al. 2012

eWork and eBusiness in Architecture, Engineering and Construction

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The 2011 UK Government BIM strategy is motivating lead design and construction organizations in the UK to use BIM authoring tools to help prepare information for progressive handover. Acquiring structured handover information is driven by specific purposes (use-cases), management criteria and inputs which are being documented using ISO 29481 (buildingSMART IDM) and ISO 12911 (Framework for BIM Guidance).Previous work has shown that IFC exports can be transformed into the required COBie format. These transformations can assume compliance to international standards or they can include tolerance of non-standard implementations. These decisions can be driven by market pressure pending the possible adoption of more consistent implementations.However there remain systematic gaps and weaknesses in the information sets being generated. These gaps may work against the efficient delivery of acceptable datasets by requiring tedious and potentially inaccurate manual attention. Examples of data issues include inaccuracy in the identification of envelope elements, and failures to distinguish functional systems and zones.The paper examines strategies for applying rule based transformations to highlight and resolve data issues, as a prerequisite to automatically categorizing the facility objects according to local classification systems.Rule strategies include direct authoring, systematic tabulation, and the RASE (requirements, applicability, selection and exceptions) approach. The strengths and weakness of these approaches will be compared and examples deployed to show how BIM models showing relatively weak completeness and accuracy can still generate valuable deliverables for the client.

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Section: Figure 2 Rule Authoring Interfacementioning

confidence: 99%

Rule driven enhancement of BIM models

Nisbet¹,

Lockley²,

Černý³

et al. 2012

eWork and eBusiness in Architecture, Engineering and Construction

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“…It draws from disciplines such as cognitive science, computer science, and artificial intelligence. Similar to data science, informatics is often a combined field, with the connecting feature being the use of information and communication technology to support a discipline, such as development informatics (46), construction informatics (47), and perhaps most prominently, health informatics. The International Medical Informatics Association defines health informatics as ".…”

Section: Informaticsmentioning

confidence: 99%

Position Statement on Population Data Science:

McGrail

Jones

Akbari

et al. 2018

IJPDS

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“…The early use of computer and information sciences in the AEC higher education setting is closely related to the 79 introduction of programming languages (Tibaut et al 2012a), which resulted in the emergence of an interdisciplinary 80 field that attempted to link computer science and AEC (Turk 2006). It manifested itself in the curricula and emerged 81 as a field which we call "computing in AEC curricula" in this paper.…”

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confidence: 99%