Paper Info
Title
A context-aware service model based on workflows for u-agriculture
Abstract
In agricultural processes, many works may need to be automated, because those are very hard labors or time-consuming jobs for farmers. Workflow technologies, which have successfully been a good model for a service automation in various computing environments, can be used as a possible service automation model in agriculture. A workflow for u-agriculture may need various contexts sensed from real sensor networks for service automation. Recently, many researches have applied workflow technologies into the various fields such as smart home, u-health care, u-city, u-port, and u-agriculture. However, many current workflow service have difficulty to control work processes and execute services according to context information in u-agricultural environment. This paper proposes a context-aware service model for u-agriculture, which is based on workflows and is aimed at supporting smart workflow services based on ubiquitous sensor networks in u-agriculture. With the proposed context-aware service model, developers can easily integrate various service demands into a service workflow, and can easily develop a context-aware workflow service for u-agriculture. Therefore, the proposed service model can be greatly helpful in the development of smart applications or the work automation in the fields of u-agriculture.
Year
DOI
Venue
2010
10.1007/978-3-642-12179-1_23
ICCSA (3)
Keywords
Field
DocType
context-aware workflow service,proposed context-aware service model,possible service automation model,current workflow service,service automation,various service demand,context-aware service model,service workflow,proposed service model,smart workflow service,health care,smart home,sensor network,service model
Service design,World Wide Web,Workflow technology,Software engineering,Computer science,Computer network,Home automation,Service product management,Workflow engine,Workflow,Workflow management system,Service delivery framework
Conference
Volume
ISSN
ISBN
6018
0302-9743
3-642-12178-0
Citations 
PageRank 
References 
7
1.24
10
Authors
3
Name
Order
Citations
PageRank
Yongyun Cho19821.02
Jongbae Moon2338.35
Hyun Yoe310622.81