Paper Info
Title
Viewlon: visualizing information on semantic sensor network
Abstract
The topic of getting information from sensor networks is becoming more important. Middleware will be required to manage various sensor data in future. We propose the Semantic Sensor Network (SS), which applies an ontology to sensor data and enables such data to be treated more easily. However, users have great difficulty to understand the information on the SS because its semantic data are complicatedly related with each other and the data and their relations evolve in time. The requirements for visualizing such information are; 1) the SS must give users the information appropriately, and 2) the SS must answer the users' queries. To meet these requirements, we propose Viewlon, software for visualizing information on the SS. To give the information appropriately, information display levels and a timeline view are introduced. In addition the functionality of processing queries provides the required information to users interactively. We experimented with Viewlon in a simulation environment, and the results show that Viewlon has the ability to present information to users and to answer their queries correctly.
Year
DOI
Venue
2006
10.1007/978-3-540-69902-6_7
JSAI
Keywords
Field
DocType
required information,great difficulty,various sensor data,semantic sensor network,semantic data,users interactively,sensor network,visualizing information,simulation environment,information display level,visualization,application,middleware,human interface
Middleware,Ontology,World Wide Web,Visualization,Computer science,Timeline,Software,Human–computer interaction,Wireless sensor network,Human interface device,Semantic data model
Conference
Volume
ISSN
Citations 
4384
0302-9743
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Masayuki Furuyama100.34
Jun Mukai291.59
Michita Imai3934113.66