A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards
3D Visualization provides a mean for communicating different construction activities to diverse audiences. The scope, level of detail, and time resolution of the 3D visualization process are determined based on the targeted audiences. Developing the 3D visualization requires obtaining and merging he...
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Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/8370931 |
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doaj-8ba840ea8f084c9ea42d6f94cb86ba702020-11-25T02:34:42ZengHindawi LimitedAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/83709318370931A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web StandardsMostafa Ali0Yasser Mohamed1University of Alberta, Edmonton, AB, CanadaUniversity of Alberta, Edmonton, AB, Canada3D Visualization provides a mean for communicating different construction activities to diverse audiences. The scope, level of detail, and time resolution of the 3D visualization process are determined based on the targeted audiences. Developing the 3D visualization requires obtaining and merging heterogeneous data from different sources (such as BIM model and CPM schedule). The data merging process is usually carried out on ad hoc basis for a specific visualization case which limits the reusability of the process. This paper discusses a framework for automatic merging of heterogeneous data to create a visualization. The paper describes developing an ontology which captures concepts related to the visualization process. Then, heterogeneous data sources that are commonly used in construction are fed into the ontology which can be queried to produce different visualization scenarios. The potential of this approach has been demonstrated by providing multiple visualization scenarios that cover different audiences, levels of detail, and time resolutions.http://dx.doi.org/10.1155/2018/8370931 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mostafa Ali Yasser Mohamed |
spellingShingle |
Mostafa Ali Yasser Mohamed A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards Advances in Civil Engineering |
author_facet |
Mostafa Ali Yasser Mohamed |
author_sort |
Mostafa Ali |
title |
A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards |
title_short |
A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards |
title_full |
A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards |
title_fullStr |
A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards |
title_full_unstemmed |
A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards |
title_sort |
framework for visualizing heterogeneous construction data using semantic web standards |
publisher |
Hindawi Limited |
series |
Advances in Civil Engineering |
issn |
1687-8086 1687-8094 |
publishDate |
2018-01-01 |
description |
3D Visualization provides a mean for communicating different construction activities to diverse audiences. The scope, level of detail, and time resolution of the 3D visualization process are determined based on the targeted audiences. Developing the 3D visualization requires obtaining and merging heterogeneous data from different sources (such as BIM model and CPM schedule). The data merging process is usually carried out on ad hoc basis for a specific visualization case which limits the reusability of the process. This paper discusses a framework for automatic merging of heterogeneous data to create a visualization. The paper describes developing an ontology which captures concepts related to the visualization process. Then, heterogeneous data sources that are commonly used in construction are fed into the ontology which can be queried to produce different visualization scenarios. The potential of this approach has been demonstrated by providing multiple visualization scenarios that cover different audiences, levels of detail, and time resolutions. |
url |
http://dx.doi.org/10.1155/2018/8370931 |
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