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Permanent link (DOI): https://doi.org/10.7939/R30H69

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A Semantic-Driven Framework for Facilitating Reusability and Interoperability of Construction Simulation Modeling Open Access

Descriptions

Other title
Subject/Keyword
Ontology
Simulation modeling
Reusability
Construction
Semantic web
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Saba, Farzaneh
Supervisor and department
Mohamed, Yasser
Examining committee member and department
Rankin, Jeffrey (Civil and Environmental Engineering, University of New Brunswick)
AbouRizk, Simaan (Civil and Environmental Engineering)
Cheng, Roger (Civil and Environmental Engineering)
Lipsett, Michael (Mechanical Engineering)
Mohamed, Yasser (Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Construction Engineering and Management
Date accepted
2012-08-21T09:59:22Z
Graduation date
2012-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
This research describes a semantic-driven framework to facilitate reusability and interoperability of simulation and modeling of construction processes. An immense amount of knowledge of construction processes and simulation modeling is needed to develop construction simulation models. Knowledge intensity of construction simulation models makes the development process an effort and time consuming process. The research described in the thesis is motivated by the need to effectively reuse the captured and represented knowledge throughout the life cycle of simulation models. Our approach addresses these challenges through ontological modeling and linking construction simulation modeling concepts composed of (i) ontology of the construction process, (ii) ontology of simulation modeling constructs and elements and (iii) ontological representation of simulation models. In this research, semantic web approaches and techniques have been utilized in different aspects: structured documentation and modeling of construction processes through hierarchical concepts and relationships between them using semantic web languages such as XML, RDF, and OWL; mapping techniques for linking and knowledge extraction between modeling ontologies; and reasoning and inference for knowledge discovery. Stand-alone construction simulation models and a large-scale HLA-based distributed simulation model of industrial construction processes have been outlined in order to illustrate the approach.
Language
English
DOI
doi:10.7939/R30H69
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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