## 1 Introduction  
As construction projects become more complex, the precision of information becomes increasingly crucial, which requires a considerable amount of communication and information transmission. Inadequate or insufficient data transmission often leads to project failure. The architectural, engineering, and construction (AEC) industry is experiencing a significant shift from conventional Computer-Aided Drafting (CAD) techniques to Building Information Modeling (BIM), facilitating effective data management and rapid decision making. BIM utilizes digital modeling tools to enhance the design and management of a project with greater efficiency [1]. According to [PERSON] [2], 72% of US construction companies use BIM to decrease project costs and increase efficiency. The advancement of computer-based BIM applications enables the creation of multi-criteria parametric designs for construction projects through the use of objects characterized by their identity, attributes,and relationships. These applications facilitate the creation of automated compliance checking (ACC) for building designs [3], a development that has significantly contributed to increasing time and cost efficiencies. Code compliance in building construction refers to the adherence to local, state, and national building codes and regulations that set minimum standards for the design, construction, operation, and maintenance of buildings and structures. However, one of the main requirements of ACC is the assurance of the quality of the BIM model. Public institutions in countries such as the United States (US), the United Kingdom (UK), and Singapore have required the use of BIM in design delivery and have promoted automated checking and evaluations of BIM quality [4]. \"BIM model quality\" means conformance to various requirements, including LOD, procedures, specifications, and the accuracy of building information model geometries. A quality check (QC) in BIM projects involves systematically checking and verifying the accuracy and quality of BIM models and their components against relevant documents such as the BEP, LOD, LOI, etc. The LOD in BIM projects refers to a system that defines the degree of detail and accuracy of BIM elements at different stages of design and construction. It provides a framework to specify and understand the complexity and content of BIM models at various phases, from conceptual design to construction and operation. High-quality data within BIM models are essential for the successful application of ACC, placing a considerable responsibility on designers and modelers to verify the accuracy of information before integration into the model. However, the ACC mostly deals with the regulatory requirements in building design, such as building codes, zoning regulations, environmental regulations, and health and safety. In addition to the regulatory requirements, issues related to quantity takeoff (QTO), modeling accuracy, coordination, and naming conventions also need to be addressed during the design of BIM projects since they can affect the time, cost, and deliverables of a construction project. BIM has also been proposed for use in automating high-quality quantity takeoff (QTO) [5] and automated data integration and visualization [6; 7; 8; 9]. [PERSON] et al. [6; 7; 8; 9] developed different methods to automatically integrate, manage, and visualize monitoring information in BIM models. The open standard representations for buildings, such as the Industry Foundation Classes (IFC), facilitate extracting necessary information for the ACC and QC processes [10; 11; 12]. The adaptable characteristics of open BIM representations are crucial to accommodate varying information requirements within the model. Nevertheless, the difficulty in object mapping persists due to the lack of assurance that objects and their attributes within any given computable rule set can be straightforwardly aligned with an industry-standard data dictionary such as the buildingSMART data dictionary [11].