Integration of manufacturers' product data in BIM platforms using semantic web technologies

被引：16

作者：

Kebede, Rahel ^{[1
]}

Moscati, Annika ^{[1
]}

Tan, He ^{[2
]}

Johansson, Peter ^{[1
]}

机构：

[1] Jonkoping Univ, Dept Construct Engn & Lighting Sci, Jonkoping, Sweden

[2] Jonkoping Univ, Dept Comp, Jonkoping, Sweden

来源：

AUTOMATION IN CONSTRUCTION | 2022年 / 144卷

关键词：

BIM; Information exchange; Product Data; Semantic Web technologies; Linked Data; Dynamo; Visual programming language; Standards; DESIGN SCIENCE; INDUSTRY; EXPRESS; IFCOWL;

D O I：

10.1016/j.autcon.2022.104630

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

As building information modeling (BIM) gains popularity in the architecture, engineering, and construction (AEC) industry, manufacturers are required to distribute their product specifications in digital product models. Currently, manufacturers mainly employ proprietary formats, such as BIM objects supplemented by PDF docu-ments to represent their product data descriptions. However, these formats do not support flexible automated product search and data integration. This paperdescribes the use of Semantic Web technologies in combination with BIM-based visual programming language (VPL) to automatically integrate product data from external da-tabases. To facilitate data integration, we introduced a method to semantically represent product data linked with the CEN/TS 17623:2021 standard using ontologies in web ontology language (OWL). The study has focused on the use case of a manufacturer of lighting products. Results show that building designers are able to execute a more efficient product search that satisfies their query requirements and returns suitable products of their choice from the manufacturer's database based on their requests. This approach eliminates the time-consuming and error-prone process of manually entering product data into BIM software.

引用

页数：24

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