Name
Abstract | ||
|---|---|---|
Context-aware systems provide proactive services for users based on environment contexts reasoning. This paper proposes context-aware systems, and addresses the important issues of modeling and evolutionary context rules. Service modeling is based on ontology technology to describe context-aware systems, and service reasoning rules are constantly extracted and evolved using tough-set theory by accommodating new data to evolutionary mining. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WISA.2013.22 | IEEE WISA |
Keywords | Field | DocType |
important issue,context-aware system,new data,environment contexts reasoning,context-aware service modeling,ontology technology,service reasoning rule,evolutionary mining,service modeling,rule evolution,evolutionary context rule,proactive service,evolutionary computation,rough set theory,ubiquitous computing,data mining | Data science,Ontology,Computer science,Evolutionary computation,Rough set,Artificial intelligence,Ubiquitous computing,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lian Yu | 1 | 6 | 1.81 |
| Yingnan Ju | 2 | 0 | 0.34 |
| Qi Jing | 3 | 0 | 0.34 |
| Jianbin Hu | 4 | 179 | 22.43 |
| Feng Ding | 5 | 0 | 0.34 |
| Kun You | 6 | 21 | 2.92 |