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

Authors
Lee, Do-YeopChi, Hung-linWang, JunWang, XiangyuPark, Chan-Sik
Issue Date
Aug-2016
Publisher
ELSEVIER SCIENCE BV
Keywords
Defect management; Linked data; Ontology; Building information modeling; SPARQL query
Citation
AUTOMATION IN CONSTRUCTION, v.68, pp 102 - 113
Pages
12
Journal Title
AUTOMATION IN CONSTRUCTION
Volume
68
Start Page
102
End Page
113
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6661
DOI
10.1016/j.autcon.2016.05.003
ISSN
0926-5805
1872-7891
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. (C) 2016 Elsevier B.V. All rights reserved.
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