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Advanced development of a system operating between humans and computers (human friendly system) is more important than the evolution of computer hardware. The salient obstacle to its progress is "How do we acquire and process Kansei? How do we produce a user model and a network service using Kansei?" For preliminary investigation, we constructed fatigue expression models based on a Bayesian network (BN) using psychological and physiological data. We proposed a convergent inference system framework using multiple BNs based on ontology and agent technology. Then we described a Kansei engineering framework for Kansei information processing in a ubiquitous home and smart home. As described herein, we design new ontological categories to construct the service model using Kansei information. Results show that the Kansei modeling using our framework addresses the inference procedure and the inference result of Kansei information as an instance of ontology.