Associating Semantic Sensor Web with Domain Ontology: The Way to Obtain Meaningful Sensor Data
Chaoqun Ji, Jin Liu, Xiaofeng Wang · International Journal of u- and e- Service Science and Technology · 2014
To realize the sharing and reuse of sensor data and improve interoperability, semantic sensor web(SSW)is proposed to add semantics information to existing sensor networksby utilizing domain, spatial and temporal anthologies and other related semantic technology.However these is seldom research on how to fully utilize the sensor data through a semantic way such as domain ontology based inference.This paperpresents stateofthe art of SSWin various aspects,and proposesthe method to associate data from semantic sensor web with domain ontology to realize the communication between different domain ontologies and SSW.In addition, this paperalso proposes a new calculation method of semantic similarity amongdifferent entities in different ontology.Experiments show that this method can effectively find the similar entitiesandrealize the knowledge sharing and ontologies reuse.