DocumentCode
3144757
Title
Knowledge reasoning in health cloud
Author
Deng, Hanbing ; Zhang, Xia ; Liu, Jiren
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2011
fDate
12-14 Dec. 2011
Firstpage
48
Lastpage
54
Abstract
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.
Keywords
cloud computing; diseases; expert systems; health care; inference mechanisms; ontologies (artificial intelligence); decision engine; disease prevention; domain expert; domain ontology; food habit; food lifestyle information; health cloud; healthy diet; knowledge analysis module; knowledge reasoning model; ontology modeling module; rule engine; semantic reasoning process; semantic template; Analytical models; Cloud computing; Cognition; Computational modeling; Engines; Ontologies; Semantics; agent; cloud; health cloud; knowledge; ontology; reasoning;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud and Service Computing (CSC), 2011 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4577-1635-5
Electronic_ISBN
978-1-4577-1636-2
Type
conf
DOI
10.1109/CSC.2011.6138551
Filename
6138551
Link To Document