A linked data system framework for sharing construction defect information using ontologies and BIM environments
- Authors
- Lee, Do-Yeop; Chi, Hung-lin; Wang, Jun; Wang, Xiangyu; Park, 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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Collections - College of Engineering > ETC > 1. Journal Articles
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