Paper Info
Title
A Semantic Notification Approach for IoT-Based Sensory Data: Demo Abstract.
Abstract
Internet of Things (IoT) sensors is becoming commonplace in people's daily life. Even, many cities have already deployed a very large number of IoT sensors toward the smart city initiative. However, lack of semantics in the presentation of IoT-based sensory data poses the perception complexity by general people. Adding semantics to the IoT sensory data remains a challenge for smart cities. In this paper, we present a prototype implementation that provides meaningful sensory data notifications about environment status for people and authorities. The approach is based on spatio-temporal thresholds that compose of multiple IoT sensors' readings. Our developed IoT sensory data analytics adds real-time semantics to the received sensory data stream by converting the IoT sensory data into meaningful and descriptive notifications about the environment status such as green locations, emergency zone, crowded places, green paths, polluted locations, etc. Our adopted IoT messaging protocol is capable of handling a very large number of dynamically added static and dynamic IoT sensors' publication and subscription processes. People can customize the notifications based on their preference or can subscribe to existing semantic notifications in order to be acknowledged of any concerned environmental condition.
Year
DOI
Venue
2017
10.1145/3054977.3057315
IoTDI
Field
DocType
Citations 
World Wide Web,Data analysis,Computer science,Data stream,Computer security,Internet of Things,Computer network,Smart city,Sensory system,Perception,Semantics
Conference
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Majed Alowaidi100.68
Md. Abdur Rahman213521.75
Elham Hassanain300.34
Abdulmotaleb El-Saddik42416248.48