A Methodology to Convert Tacit Knowledge into Explicit Knowledge - Smart Building Use Case

Managing energy in smart buildings involves complex interactions best understood by domain experts. This work introduces the Tacit Knowledge Tree (TKT) methodology, which is a 4-stage framework to capture and structure tacit knowledge into semi-structured formats. TKT maps causal relationships of events to enhance cyber-physical system explainability and decision-making. TKT has been applied to a smart building use case for evaluation.