Basic structure of a proposed building product model
Computer-Aided Design
A comparison of methods for representing topological relationships
Information Sciences—Applications: An International Journal
Information Sciences: an International Journal
Geometric Tools for Computer Graphics
Geometric Tools for Computer Graphics
Spatial data management for virtual product development
Computer Science in Perspective
Ifcowl: A case of transforming express schemas into ontologies
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors
Improving the usability of standard schemas
Information Systems
Advanced Engineering Informatics
Towards similarity-based topological query languages
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Hi-index | 0.00 |
The design and construction community has shown increasing interest in adopting building information models (BIMs). The richness of information provided by BIMs has the potential to streamline the design and construction processes by enabling enhanced communication, coordination, automation and analysis. However, there are many challenges in extracting construction-specific information out of BIMs. In most cases, construction practitioners have to manually identify the required information, which is inefficient and prone to error, particularly for complex, large-scale projects. This paper describes the process and methods we have formalized to partially automate the extraction and querying of construction-specific information from a BIM. We describe methods for analyzing a BIM to query for spatial information that is relevant for construction practitioners, and that is typically represented implicitly in a BIM. Our approach integrates ifcXML data and other spatial data to develop a richer model for construction users. We employ custom 2D topological XQuery predicates to answer a variety of spatial queries. The validation results demonstrate that this approach provides a richer representation of construction-specific information compared to existing BIM tools.