Ontology Based Knowledge Modeling for Structural Engineering Experiment Information Management

Zhang, Xiaohui; Di, Ruihua; Liang, Yi

doi:10.1109/gcc.2010.21

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Building Design [16] Engineering [17] Designing Conceptual Design [18] Appraising Energy Efficiency [19,20] Collaborating Interoperability [21] Checking Regulation [22] Designing Structural Design [23] Monitoring Building…”

Section: Sourcesmentioning

confidence: 99%

Considering the Feasibility of Semantic Model Design in the Built-Environment

Grzybek

Gulliver

et al. 2014

Buildings

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Building Information Modeling (BIM) is the process of structuring, capturing, creating, and managing a digital representation of physical and/or functional characteristics of a built space [1]. Current BIM has limited ability to represent dynamic semantics, social information, often failing to consider building activity, behavior and context; thus limiting integration with intelligent, built-environment management systems. Research, such as the development of Semantic Exchange Modules, and/or the linking of IFC with semantic web structures, demonstrates the need for building models to better support complex semantic functionality. To implement model semantics effectively, however, it is critical that model designers consider semantic information constructs. This paper discusses semantic models with relation to determining the most suitable information structure. We demonstrate how semantic rigidity can lead to significant long-term problems that can contribute to model failure. A sufficiently detailed feasibility study is advised to maximize the value from the semantic model. In addition we propose a set of questions, to be used during a model's feasibility study, and guidelines to help assess the most suitable method for managing semantics in a built environment.

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