DocumentCode :
3194852
Title :
Ontology Based Service Discovery Method for Internet of Things
Author :
Yang, Siming ; Xu, Yang ; He, Qingyi
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2011
fDate :
19-22 Oct. 2011
Firstpage :
43
Lastpage :
47
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.
Keywords :
Internet; inference mechanisms; ontologies (artificial intelligence); query processing; Internet of things; abstract queries; abstract terminology; feedbacks logical relationships; human natural language; ontologies description; ontology based method; public sensor infrastructure; sensor service directories; sensor system reasoning; service discovery method; Computer architecture; Intelligent sensors; Ontologies; Semantics; Sensor phenomena and characterization; Terminology; Decomposition; Ontology; Sensor service discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
Type :
conf
DOI :
10.1109/iThings/CPSCom.2011.104
Filename :
6142317
Link To Document :
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