Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/39830
Title: Towards semantic-based adaptation decisions for context-aware mobile computing
Authors: Wei, JEY
Chan, TSA 
Keywords: Context-awareness
Dynamic adaptation
Middleware
Ontology
Issue Date: 2010
Source: Proceedings of the 2010 ACM Symposium on Applied Computing , Sierre, Switzerland, 22 March 2010-26 March 2010, p. 563-567 How to cite?
Abstract: This paper studies the problem of adaptation decisions for context-aware mobile computing. In most context-aware systems to date, context-aware adaptation decisions are made by developers during the design-time or compile-time. Such approaches inevitably place an immense load on developers, especially in an extremely dynamic environment like mobile computing, to anticipate, formulate, and maintain adaptation rules. In this paper, we explore automated context-aware adaptation decisions at run-time to get around this problem. The resulting middleware system, CAMPUS, utilizes ontologies to capture the underlying semantics of involved entities, and perform DL and FOL reasoning on these ontologies to automatically derive adaptation decisions at run-time. The CAMPUS implementation has been evaluated with a number of case studies. The results are significant in that they show that CAMPUS can greatly reduce the efforts required to developed context-aware mobile application without significant degradation in its performance.
URI: http://hdl.handle.net/10397/39830
ISBN: 978-1-60558-639-7
DOI: 10.1145/1774088.1774205
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Citations as of Jul 8, 2017

Page view(s)

23
Last Week
0
Last month
Checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.