Name
Abstract | ||
|---|---|---|
To form Linked Sensor Data, we can generate linkages among the sensor network data described by semantic information and relevant resources in a Linked Open Data cloud, which can make efficient use of sensor network data. Based on the analysis of existing interlinking methods of Linked Data and Linked Sensor Data publishing systems, according to the property characteristics of sensor network data as well, we propose a similarity comparison algorithm of graph based on heuristic property, to generate linkages among sensor network data and related resources in Linked Open Data cloud effectively. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CyberC.2015.29 | CyberC |
Keywords | Field | DocType |
Linked Data, Linked Sensor Data, linkages, heuristic property, RDF graph | Data mining,Heuristic,Computer science,Linked data structure,Linked data,Algorithm,Data publishing,Distributed database,Wireless sensor network,RDF,Cloud computing | Conference |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin-Na Cuan | 1 | 1 | 0.36 |
| Yi-Min Shi | 2 | 1 | 0.36 |
| Guan-Yu Li | 3 | 2 | 4.42 |
| Xue-Hua Wu | 4 | 1 | 0.36 |
| Ning Liu | 5 | 1 | 0.36 |