Semantic Building Information Modeling: An empirical evaluation of existing tools

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration Pub Date : 2024-11-01 DOI:10.1016/j.jii.2024.100731

Ignacio Huitzil , Miguel Molina-Solana , Juan Gómez-Romero , Marco Schorlemmer , Pere Garcia-Calvés , Nardine Osman , Josep Coll , Fernando Bobillo

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引用次数: 0

Abstract

Semantic Building Information Modeling (BIM) consists in translating data expressed using BIM formats (namely IFC) into Semantic Web files using RDF serializations (e.g., Turtle). This enables the inference of new knowledge and constraint checking, among other advantages. While several software tools for translating BIM models into Semantic Web languages have been proposed in the literature, they differ in the features exposed.

This paper analyzes and empirically compares some of these tools (namely, IFC converters translating an input IFC model into an RDF graph), identifying their strengths and main limitations. Our methodology includes measuring computation times of common tasks (file conversion, query and inference over output files), assessing the retention of knowledge (particularly, geometric information) and examining reasoning capabilities (complexity and completeness of the resulting models). Our results show that IFCtoLBD is the best option in many cases. IFCtoRDF and IFC2LD are slower but better preserve geometric information, while KGG is faster at the expense of losing information in the translation.

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语义建筑信息建模：对现有工具的实证评估

语义建筑信息模型（BIM）包括将使用 BIM 格式（即 IFC）表达的数据转换为使用 RDF 序列化（如 Turtle）的语义网文件。除其他优点外，这还能推断新知识和进行约束检查。虽然文献中已经提出了几种将 BIM 模型转化为语义网语言的软件工具，但它们所展示的功能各不相同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Industrial Information Integration Decision Sciences-Information Systems and Management

CiteScore

22.30

自引率

13.40%

发文量

100

期刊介绍： The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.