The adoption of Building Information Modelling (BIM) in the construction industry has been hindered by numerous barriers, notably the limited understanding of its concepts, protocols, and the intricate interplay between processes, people, and technologies. To address these challenges, a range of standards and guidelines have been developed, most notably the ISO 19650 series, which offer a comprehensive framework for implementing various aspects of BIM in construction projects. However, despite the BIM's collaborative philosophy, the standards and specifications that guide its adoption and implementation seldom reveal and explain the relationships between their key elements and concepts. This lack of clarity limits understanding and undermines the very essence of collaboration that BIM seeks to promote in construction projects. The text-based nature of the standards and specifications makes it difficult to identify common concepts that cut across the different project phases, their relationships, and interdependencies. This study proposes a BIM ontology for information management (BIM-OIM) that makes BIM process data more available and easily useable, allowing other researchers and practitioners to implement, and extend its use within their domains of practice. To achieve the practice-driven goal of BIM-OIM, Yet Another Methodology for Ontology (YAMO), one of the leading ontology engineering methodologies, was used to develop BIM-OIM. BIM-OIM is a formal and structured representation of ISO 19650 knowledge that is machine-processable. This representation enhances understanding, promotes reusability, and supports practical applications throughout the information management lifecycle. Key applications include the development of BIM Execution Plans, compliance checking for information containers, and identifying the roles of various stakeholders within a project.
Abanda, F.H. Akintola, A. Tuhaise, V.V. Tah, J.H.M
School of Built Environment
Year of publication: 2025Date of RADAR deposit: 2025-04-23