Infrastructure organisations own, operate and manage infrastructure systems to provide uninterrupted services to various communities. To manage infrastructure systems (composed of a set of interrelated and interconnected tangible capital assets (TCAs)), infrastructure organisations use a range of computer and paper-based information systems. Municipal infrastructure organisations find it difficult to exchange the TCA data with other agencies as part of the reporting requirements due to some issues: heterogeneity of data format, lack of formal descriptions of various classes of data and lack of component-wise aggregation of data. To address these issues, an ontology of TCAs was developed using an eleven-step approach. The tangible capital asset ontology (TCA_Onto) represents knowledge in the facility and four infrastructure sectors: transportation, water, wastewater and solid waste management, which was used to formalise message templates for the asset inventory and condition assessment reporting/TCA reporting. The formalised message templates were implemented in a prototype asset information integrator system developed as part of this research work. The TCA_Onto was verified and validated as part of the evaluation using a criteria-based approach.
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September 2014
Research Article|
September 01 2014
Tangible capital asset ontology in infrastructure management
Jehan Zeb, MSc, MBA, MASc, PEng;
Jehan Zeb, MSc, MBA, MASc, PEng
Department of Civil Engineering, The University of British Columbia, Vancouver, BC, Canada
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Thomas Froese, PhD, PEng
Thomas Froese, PhD, PEng
Department of Civil Engineering, The University of British Columbia, Vancouver, BC, Canada
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Publisher: Emerald Publishing
Received:
March 04 2014
Accepted:
June 10 2014
Online ISSN: 2053-0250
Print ISSN: 2053-0242
ICE Publishing: All rights reserved
2014
Infrastructure Asset Management (2014) 1 (3): 81–92.
Article history
Received:
March 04 2014
Accepted:
June 10 2014
Citation
Zeb J, Froese T (2014), "Tangible capital asset ontology in infrastructure management". Infrastructure Asset Management, Vol. 1 No. 3 pp. 81–92, doi: https://doi.org/10.1680/iasma.14.00012
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