{"title":"Semantic interoperability on IoT: Aligning IFC and Smart Application Reference (SAREF) sensor data models","authors":"Ebere Donatus Okonta , Farzad Rahimian , Vladimir Vukovic , Sergio Rodriguez","doi":"10.1016/j.autcon.2025.106328","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes extending the Smart Application Reference (SAREF) ontology to enable sensor modelling based on the Industry Foundation Classes (IFC) standard, enhancing semantic interoperability between IoT (Internet of Things) and Building Information Modelling (BIM). The paper introduces the Information Assigned to Device Based Ontology Matching approach (IADOM) to align saref:Sensor and IfcSensor data models. Leveraging RDF (Resource Definition Framework) Semantic Web technology, the research modelled and visualised sensor data models in the Protégé software environment, exploring basic information that defined the sensor, including class, properties, relations, attributes, geometry, and interaction. Ontology results indicate property and interaction similarities and differences in saref:Sensor and IfcSensor. The extended ontology provides a standardised and interoperable representation of sensor data and their relationships within BIM and proves that SAREF ontology extension can enhance semantic interoperability between IoT devices and BIM systems, facilitating efficient data exchange, enabling advanced analytics and decision-making processes in smart buildings.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"177 ","pages":"Article 106328"},"PeriodicalIF":11.5000,"publicationDate":"2025-06-14","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/S0926580525003681","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
This paper proposes extending the Smart Application Reference (SAREF) ontology to enable sensor modelling based on the Industry Foundation Classes (IFC) standard, enhancing semantic interoperability between IoT (Internet of Things) and Building Information Modelling (BIM). The paper introduces the Information Assigned to Device Based Ontology Matching approach (IADOM) to align saref:Sensor and IfcSensor data models. Leveraging RDF (Resource Definition Framework) Semantic Web technology, the research modelled and visualised sensor data models in the Protégé software environment, exploring basic information that defined the sensor, including class, properties, relations, attributes, geometry, and interaction. Ontology results indicate property and interaction similarities and differences in saref:Sensor and IfcSensor. The extended ontology provides a standardised and interoperable representation of sensor data and their relationships within BIM and proves that SAREF ontology extension can enhance semantic interoperability between IoT devices and BIM systems, facilitating efficient data exchange, enabling advanced analytics and decision-making processes in smart buildings.
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.