Semantic framework for interdependent infrastructure resilience decision support

Dao, Jicao; Ng, S. Thomas; Yang, Yifan; Zhou, Shenghua; Xu, Frank J.; Skitmore, Martin

doi:10.1016/j.autcon.2021.103852

Cited by 16 publications

(2 citation statements)

References 44 publications

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“…This requires integrating heterogeneous data, acquiring knowledge in multiple domains, and deriving valuable information from the integrated data. Dao et al [132] built ontologies for drainage, traffic, building, and flood systems, respectively, and used SPARQL and SWRL rules to provide automated decision support.…”

Section: Facility Managementmentioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

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Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

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Section: Facility Managementmentioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

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“…The reason behind that is these success stories of ontologies and linked data implementation in domains such as biology, medical records, cultural heritage, accounting, and social media (Schmachtenberg et al, 2014). Several recent work in the construction sector proposed ontological solutions to overcome some challenges such as jobsite sensing and monitoring (Ren and Zhang, 2021), advanced work packaging , interdependent infrastructure decision support (Dao et al, 2021), health and safety in construction sites (Farghaly et al, 2022), drill-and-blast tunnelling projects (Sharafat et al, 2021). Armed with existing ontological solutions in the AEC sector, this work proposes an ontological solution for better integration and collaboration between the interdependent construction control systems.…”

Section: Introductionmentioning

confidence: 99%

Construction Programme & Production Control (CPPC) ontology : a required integration for construction digital twin

Karim¹,

Ranjith²

2022

Proceedings of the 2022 European Conference on Computing in Construction

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With ongoing development of construction digital twins, several works presented in the last couple of years are taking the same approach, solutions, steps, and findings of Building Information Modelling (BIM). This piece of work is questioning if that is enough or we could be misinformed by the BIM's survivorship bias of what information should be collected, integrated, and visualized in construction sites. This research is a part of ongoing research project exploring the application of construction digital twins through production control rooms. In this research, an ontology related to construction programme and production control (CPPC) is proposed. The proposed ontology is shared representation that specify the terms and relations of production control in construction. The development is based on a real case study in the U.K and it is mapped to existing ontologies such as BOT, DiCon and Prov. The developed ontology was evaluated by automatic consistency checking, evaluating the SPARQL queries against the competency questions and representing the outputs to stakeholders of the selected construction project. The results show that the ontology represents the domain knowledge and demonstrates its' efficiency to enhance the production control of construction sites.

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Features of the Decomposition of Nonlinear Processes and Systems Within the Framework of the System Approach

Shevnina,

Gagarina,

Fedorov

2024

Lecture Notes in Electrical Engineering

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Semantic framework for interdependent infrastructure resilience decision support

Cited by 16 publications

References 44 publications

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Construction Programme & Production Control (CPPC) ontology : a required integration for construction digital twin

Features of the Decomposition of Nonlinear Processes and Systems Within the Framework of the System Approach

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