AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies

IF 11.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-05-14 DOI:10.1016/j.autcon.2025.106226

Diellza Elshani , Alessio Lombardi , Daniel Hernandez , Steffen Staab , Al Fisher , Thomas Wortmann

{"title":"AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies","authors":"Diellza Elshani , Alessio Lombardi , Daniel Hernandez , Steffen Staab , Al Fisher , Thomas Wortmann","doi":"10.1016/j.autcon.2025.106226","DOIUrl":null,"url":null,"abstract":"<div><div>The Architecture, Engineering, and Construction (AEC) industry faces data integration challenges due to fragmented silos and diverse data representations, hindering cross-domain queries and early detection of design constraints. Semantic Web Technologies (SWTs) address data integration challenges.</div><div>This paper evaluates the impact of SWTs on co-design workflows by comparing them with alternative approaches to assess their effectiveness in supporting interdisciplinary collaboration and design constraint detection. Using Design Science Research, a co-design methodology is developed that integrates SWTs with AEC tools for reasoning and federated querying. A component of this methodology is a bidirectional mapping strategy for translating object-oriented data models, demonstrated with the Building Habitat Object Model (BHoM), an AEC interoperability framework.</div><div>Findings reveal that integrating SWTs enables reasoning and complex queries across federated datasets, improving co-design efficiency. These findings support AEC professionals in advancing co-design and data-driven decision-making, while also informing future research on integrating SWTs into AEC design workflows.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106226"},"PeriodicalIF":11.5000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525002663","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

The Architecture, Engineering, and Construction (AEC) industry faces data integration challenges due to fragmented silos and diverse data representations, hindering cross-domain queries and early detection of design constraints. Semantic Web Technologies (SWTs) address data integration challenges.

This paper evaluates the impact of SWTs on co-design workflows by comparing them with alternative approaches to assess their effectiveness in supporting interdisciplinary collaboration and design constraint detection. Using Design Science Research, a co-design methodology is developed that integrates SWTs with AEC tools for reasoning and federated querying. A component of this methodology is a bidirectional mapping strategy for translating object-oriented data models, demonstrated with the Building Habitat Object Model (BHoM), an AEC interoperability framework.

Findings reveal that integrating SWTs enables reasoning and complex queries across federated datasets, improving co-design efficiency. These findings support AEC professionals in advancing co-design and data-driven decision-making, while also informing future research on integrating SWTs into AEC design workflows.

Abstract Image

查看原文本刊更多论文

基于语义Web技术的跨域查询和推理协同设计工作流

架构、工程和施工（AEC）行业面临着数据集成的挑战，因为分散的筒仓和不同的数据表示，阻碍了跨域查询和早期检测设计约束。语义Web技术（swt）解决了数据集成方面的挑战。本文通过将swt与其他方法进行比较，评估swt在支持跨学科协作和设计约束检测方面的有效性，从而评估swt对协同设计工作流的影响。使用设计科学研究，开发了一种协同设计方法，将swt与AEC工具集成在一起，用于推理和联合查询。该方法的一个组成部分是用于转换面向对象数据模型的双向映射策略，用AEC互操作性框架建筑栖息地对象模型（BHoM）进行了演示。研究结果表明，集成swt可以跨联邦数据集进行推理和复杂查询，从而提高协同设计效率。这些发现支持AEC专业人员推进协同设计和数据驱动决策，同时也为将swt集成到AEC设计工作流程中的未来研究提供信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.