Emotion sense ontology to avoid human error on Autonomous Decentralized Multi-Layered Cache system

In the control of operation of the machinery and equipment of vehicles human error by operator makes accidents and disasters. In information technology system, there are also some accidents to system failure and data lost by the human error by operator. It is one of big issue for assurance system. To avoid human error by operator, emotion sense evaluation by Ontology rule is proposed. We configure this approach on Autonomous Decentralized Multi-Layered Cache system (ADMLC). We selected Galvanic Skin Response (GSR) value as the factor of human emotion for each operator. We try to sense operator unstable emotion by GSR value then request other operator to check whether his command order is true or not. We evaluated GSR value of nine operators by a week. Each operator has different GSR value and it is depending on person and environment. The analyzing method, Ontology rule is utilized in this proposal. Its rule engine always records the GSR value for ontology rule engine. The dynamic value of GSR shows operator´s emotion in real time. Ontology rule engine decision makes the result of GSR value using the historical data. The result of emotion sense accuracy shows more than 90 % by evaluation. By the Ontology emotion sense rule engine on ADMLC system, it shows as one of possibility of method to avoid the system failure or data lost by the human error.