Service Regulation: Modeling and Recognition

Service regulation applies modern management theory and information technology to provide intelligent, efficient and in-depth regulation of service quality and compliance operation. The Modern Service Industry with rapid innovation and evolution of services is confronted with many challenges such as compliance operation, yet traditional regulation methods rely heavily on manual labour and are less efficient. Therefore it is urgent to research efficient and intelligent methods of regulation in order to promote the healthy development of Modern Service Industry. As for process compliance in service regulation, this paper proposes a conceptual model of service regulation that includes service organization domain, business process domain and service regulation domain. Furthermore, a modeling language based on pi calculus is introduced to formalize regulation issues. We have summarised six categories of general regulation rules based on regulation source materials from different service domains. To the best of our knowledge, there is currently no dataset available for service process violation recognition. Therefore, we construct a labelled process dataset for violation recognition (LPD4VR) of Internet healthcare service and propose a baseline method to detect the violation issue which achieves a recognition accuracy of 83.33%.