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

Buildings

Hubert Grzybek²  Shen Xu²  Stephen Gulliver²  Victoria Fillingham¹ 

[1] School of Construction Management and Engineering, University of Reading, Reading RG6 6UD, UK; E-Mail:;Henley Business School, University of Reading, Reading RG6 6UD, UK; E-Mails:

关键词: Building Information Modeling (BIM);    semantic;    modeling;    feasibility;   

DOI  :  10.3390/buildings4040849

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.