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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Main Authors: Mostafa Ali, Yasser Mohamed
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2018/8370931
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spelling 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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