Name
Abstract | ||
|---|---|---|
In this paper, we illustrate sensor data based healthcare information integration framework with semantic knowledge reasoning power. Nowadays, more and more people start to use mobile applications that can collects data from a variety of health and wellbeing sensors and presents significant correlations across sensors systems. However, it is difficult to correlate and integrate data from these varieties provided users with overall wellbeing picture and hidden insights about systematic health trends. The paper presents a data semantic integration solution using semantic web technologies. The process includes knowledge lifting and reasoning process that could feedback many hidden health factors and personal lifestyle analysis using semantic rule language (SWRL). |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-62698-7_32 | Communications in Computer and Information Science |
Keywords | DocType | Volume |
Healthcare,Knowledge discovery,Semantic web,Data mining | Conference | 731 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Qing Yu | 1 | 237 | 16.94 |
| Xia Zhao | 2 | 31 | 11.44 |
| Zhikun Deng | 3 | 32 | 4.13 |
| Feng Dong | 4 | 17 | 31.05 |