Abstract: Construction quality management methods need to be improved as the construction industry develops and the scale of construction expands. The traditional quality review involves manually checking the quality issues in the quality rectification forms provided by the supervisors and the codes of construction quality acceptance, which determines whether the construction quality is qualified. However, the traditional method is not only time-consuming and labor-intensive, but also may lead to errors that affect quality control and decision-making. To avoid the above issues by automatic quality review, this paper proposes an ontology-based knowledge model for reviewing information in construction quality hid danger rectification forms. The modeling process comprises four steps: (1) analyzing the lexical elements and semantic relationships in the codes for acceptance of construction quality; (2) establishing knowledge templates and semantic relationship graphs of the quality issues information in quality hid danger rectification form; (3) referring to the existing knowledge model and establishing the QII-QHDRFOntology knowledge model; (4) applying the model to actual cases to evaluate its feasibility and effectiveness. The evaluation results in this paper indicate that the proposed QII-QHDRFOntology knowledge model can effectively review the quality issue information in actual construction quality hazard rectification forms.