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    A Linked Data System Framework for Sharing Construction Defect Information using Ontologies and BIM Environments

    Access Status
    Fulltext not available
    Authors
    Do-Yeop Lee
    Chi, Hung-Lin
    Jun Wang
    Xiangyu Wang
    Chan-Sik Park
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Do-Yeop Lee and Chi, H. and Jun Wang and Xiangyu Wang and Chan-Sik Park 2016. A Linked Data System Framework for Sharing Construction Defect Information using Ontologies and BIM Environments. Automation in Construction. 68: pp. 102-113.
    Source Title
    Automation in Construction
    DOI
    10.1016/j.autcon.2016.05.003
    ISSN
    1872-7891
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/33871
    Collection
    • Curtin Research Publications
    Abstract

    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.

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