Title
A Semantically-Based Task Model and Selection Mechanism in Ubiquitous Computing Environments
Abstract
User centricity required by ubiquitous computing is about making services and information be prepared and delivered in the perspective of users rather than system elements. Task-oriented computing supports user centricity by representing users' goals in tasks. It bridges the gap between tasks and available services. This paper proposes a semantically-based generic model for describing tasks in ubiquitous computing environments. This model is used by a task selection algorithm that considers the context information of a user and the surrounding environment. Additionally, this paper proposes a pattern-based task reconfiguration algorithm. The algorithms are illustrated by a demo application conducted in our test bed, and by other examples of tasks selected under diverse situations. Evaluation results show a reasonable time overhead for the task selection algorithm.
Year
DOI
Venue
2009
10.1007/978-3-642-04592-9_103
KES (2)
Keywords
Field
DocType
available service,selection mechanism,context information,semantically-based generic model,task-oriented computing,demo application,ubiquitous computing environment,ubiquitous computing,ubiquitous computing environments,task selection algorithm,pattern-based task reconfiguration algorithm,user centricity,semantically-based task model,computational semantics,test bed
Computer science,Selection algorithm,Semantic Web,Context-aware pervasive systems,Ubiquitous computing,Reconfiguration algorithm,Distributed computing
Conference
Volume
ISSN
Citations 
5712
0302-9743
6
PageRank 
References 
Authors
0.51
7
5
Name
Order
Citations
PageRank
Angel Jimenez-Molina1464.75
Junsung Kim224316.69
Hyung-Min Koo3132.87
Byung-Seok Kang4418.04
In-Young Ko528136.83