Deakin University
Browse

File(s) under permanent embargo

A linked data system framework for sharing construction defect information using ontologies and BIM environments

journal contribution
posted on 2016-08-01, 00:00 authored by D Y Lee, H L Chi, Jun WangJun Wang, X Wang, C S Park
© 2016 Elsevier B.V. Defect data contains knowledge about specific work conditions. In order to prevent reoccurrence of defects, a data feedback mechanism is required. However, most defect data are stored in unstructured ways, resulting in the fundamental problem of data utilization. This paper proposes a novel framework by using BIM and linked data technologies for sharing defect data between heterogeneous data sources in a new way. To demonstrate, a defect ontology is developed, work context information is extracted from BIM models, extracted BIM data is converted to RDF format, and SPARQL queries are implemented. The proposed approach could help BIM software applications to take into account information stemming from the defect management domain. Also, it can reduce data search time and improve the accuracy of search results as well. Therefore, this framework may enable reductions of defect occurrence and improvements in current defect management practices.

History

Journal

Automation in construction

Volume

68

Pagination

102 - 113

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

0926-5805

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2016, Elsevier B.V.

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC