Knowledge reasoning in health cloud
Hanbing Deng, Xia Zhang, Jiren Liu · 2011
Keeping healthy diet and lifestyle is the most effective way to prevent disease. But usually people only know some basic physical information like height, weight, heartbeat, and so on. They have no idea whether their food habit or lifestyle will affect their health. This paper, based on the scene of health cloud, proposes a knowledge reasoning model which includes knowledge analysis module, ontology modeling module, decision engine, rule engine and semantic template. The model provides a method which can analyze the diet and lifestyle information of people. And the information can be achieved from the domain ontology which is pretreated by domains experts. With the results of semantic reasoning processes, people can get some better healthy diet and lifestyle advices. An example of health diet has been constructed to test the performance of knowledge reasoning model. The results indicate that the model can effectively work for knowledge reasoning in health cloud.