TY - JOUR
T1 - A linked data system framework for sharing construction defect information using ontologies and BIM environments
AU - Lee, Do-Yeop
AU - Chi, Hung-lin
AU - Wang, Jun
AU - Wang, Xiangyu
AU - Park, Chan-Sik
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/8
Y1 - 2016/8
N2 - 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.
AB - 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.
UR - https://hdl.handle.net/1959.7/uws:61384
U2 - 10.1016/j.autcon.2016.05.003
DO - 10.1016/j.autcon.2016.05.003
M3 - Article
SN - 0926-5805
VL - 68
SP - 102
EP - 113
JO - Automation in Construction
JF - Automation in Construction
ER -