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Buildings 2014, 4(4), 849-879;

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

Henley Business School, University of Reading, Reading RG6 6UD, UK
School of Construction Management and Engineering, University of Reading, Reading RG6 6UD, UK
Author to whom correspondence should be addressed.
Received: 3 April 2014 / Revised: 14 October 2014 / Accepted: 26 October 2014 / Published: 4 November 2014
(This article belongs to the Special Issue Future Directions in Building Information Modeling)
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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. View Full-Text
Keywords: Building Information Modeling (BIM); semantic; modeling; feasibility Building Information Modeling (BIM); semantic; modeling; feasibility

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Grzybek, H.; Xu, S.; Gulliver, S.; Fillingham, V. Considering the Feasibility of Semantic Model Design in the Built-Environment. Buildings 2014, 4, 849-879.

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