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Building design is highly complex as it involves numerous professionals and their interactions, hence with diverse tools used and multi-resources and different structured data and information required to be processed. Despite the existing efforts to develop multi-objective decision making tools to support complex design, most of the research face difficulties to provide holistic, dynamic and collaborative knowledge base due to the complexity of the information interoperability issues across different parties and throughout life cycle. This paper developed an automatic data exchange framework that combines only the necessary data from BIM models using semantic web technology to eliminate inefficiencies in data exchange and improve decision-making early in the design stage. The proposed data acquisition method can produce a dynamic knowledge base to connect both static and dynamic information. A multi-objective knowledge base was developed to assist engineers associated with sustainability and cost in comparing different design options based on the existing BIM data. The proposed ontology was developed using a machine-readable format, allowing the ability to add more concepts to it in the future and work with other automated tools. The validated framework could reduce human involvement and errors while providing more efficient ways to leverage diverse information sources together to support holistic decision-making for building design. • An automatic data exchanging framework that combines a data exchange method and semantic web technology is proposed. • A unified data exchange method was developed to extract only the critical information from a BIM model. • A holistic decision-making ontology to consider various aspects was developed to assist engineers in the early design stage. • A data acquisition method was proposed to align the knowledge base and the data exchange method to decrease manual input. • The proposed framework presents a more direct way to work with IFC-based BIM models to evaluate various aspects. [ABSTRACT FROM AUTHOR]

Adopting Building Information Modelling (BIM) in Building Performance Analysis (BPA) is becoming an emerging research area in the application of information technology in the Architecture, Engineering, and Construction (AEC) industry. To investigate the current state of research in the adoption of BIM in BPA, this study performed a holistic review consisting of a bibliometric analysis of existing literature, content analysis of selected studies, as well as follow-up qualitative discussion in BIM integration with BPA. The bibliometric analysis identified 60 relevant studies; the content analysis of these studies revealed the research focuses of BIM-enabled BPA, including interoperability, semantics, and sustainability rating systems; the qualitative discussion further highlighted the learning process throughout project delivery stages and addressed the potential gap between 'as-designed' building performance and 'as-built' performance. Overall, this study contributes to existing research by identifying key input attributes and workflow in BPA, reviewing the state-of-the-art research on BIM integration with BPA, and investigating the major research areas, namely, interoperability issues in BIM-enabled BPA within the context of life-cycle BPA. Unlabelled Image • Reviews the state-of-the-art in the BIM-enabled BPA using bibliometric analysis • Defines the workflow of Building Performance Analysis in building design • Investigates issues of interoperability, semantics, and sustainability rating systems • Identifies key research problems in BIM integration with BPA [ABSTRACT FROM AUTHOR]