Semantic web-enabled outlier and missing value detection and replacement in smart buildings

Digital twins have the potential to leverage AI in buildings. The quality of algorithms is dependent on input data and its preprocessing. This paper discusses using semantic web technologies preprocessing tasks. After reviewing state-of-the-art initiatives this field, a integration method introduced based technologies. integrated used approaches find outliers missing values time series two similarity-based imputation methods. shows that can enhance tasks, by applying both explicit implicit reasoning.