Name
Abstract | ||
|---|---|---|
As the development of internet of things (IOT), massive sensors have been deployed as the public infrastructure. However, there is a bottleneck in state of the art IOT applications, which require sensors to response on abstract and complex requests similar to human natural languages. On the contrary, since sensors' service directories are unable to map their services on how users' abstract queries can be performed, sensors can only response to low-level queries with accurate and complete descriptions. To handle this challenge, in this paper, we proposed a novel ontology based method to improve sensor systems' reasoning. The key lies on any abstract terminologies can be understood by searching their ontologies descriptions. Therefore, by utilizing ontologies, abstract queries can be hierarchically decomposed into several simple queries handled by single sensors. Moreover, ontologies also imply the logical relations on the feedbacks from each single queries, and the answer can be carried out based on the equations and sensor outputs. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/iThings/CPSCom.2011.104 | iThings/CPSCom |
Keywords | Field | DocType |
service discovery method,ontology,feedbacks logical relationships,single query,sensor system reasoning,inference mechanisms,abstract queries,sensor output,massive sensor,complete description,human natural language,sensor service directories,public sensor infrastructure,abstract query,ontologies description,single sensor,internet,decomposition,ontology based method,ontologies (artificial intelligence),sensor system,art iot application,abstract terminology,query processing,internet of things,sensor service discovery,intelligent sensors,intelligent sensor,terminology,ontologies,human nature,computer architecture,semantics,service discovery | Ontology (information science),Bottleneck,Ontology,World Wide Web,Intelligent sensor,Computer science,Natural language,Service discovery,Semantics,The Internet | Conference |
ISBN | Citations | PageRank |
978-1-4577-1976-9 | 6 | 0.56 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siming Yang | 1 | 6 | 0.56 |
| Yang Xu | 2 | 6 | 0.56 |
| Qingyi He | 3 | 8 | 0.93 |