Paper Info
Title
Task-Oriented mobile service recommendation enhanced by a situational reasoning engine
Abstract
In this paper, we propose a system that recommends appropriate mobile services from the viewpoint of the user's task which fits with user's situation in the real world Key components are a situation provider that reason on user situation based on context gathered from multiple sources, and a task knowledge base which stores semantic task descriptions of what actions the mobile user is likely to perform in daily life We present the architecture of the proposed system; the situational reasoning engine which makes use of context ontologies represented using OWL, and the task knowledge base which stores OWL-S-based descriptions of the user's tasks in the real world Finally, we describe a prototypical implementation and some realized use cases.
Year
DOI
Venue
2006
10.1007/11836025_75
ASWC
Keywords
Field
DocType
semantic task description,mobile user,situational reasoning engine,use case,real world,user situation,task knowledge base,proposed system,task-oriented mobile service recommendation,situation provider,context ontology,appropriate mobile service,knowledge base
Mobile computing,World Wide Web,Semantic reasoner,Task analysis,Computer science,Mobile service,Semantic Web,Systems architecture,Knowledge base,Web service
Conference
Volume
ISSN
ISBN
4185
0302-9743
3-540-38329-8
Citations 
PageRank 
References 
5
0.55
5
Authors
7
Name
Order
Citations
PageRank
Takefumi Naganuma1585.61
Marko Luther215316.00
Matthias Wagner3725.47
Atsuki Tomioka450.55
Kunihiro Fujii5292.95
Yusuke Fukazawa613719.28
Shoji Kurakake718117.16