Paper Info
Title
Engineering contextual knowledge for autonomic pervasive services
Abstract
In this paper, we identify the key software engineering challenges introduced by the need of accessing and exploiting huge amount of heterogeneous contextual information. Following, we survey the relevant proposals in the area of context-aware pervasive computing, data mining and granular computing discussing their potentials and limitations with regard to their adoption in the development of context-aware pervasive services. On these bases, we propose the W4 model for contextual data and show how it can represent a simple yet effective model to enable flexible general-purpose management of contextual knowledge by pervasive services. A summarizing discussion and the identification of current limitations and open research directions conclude the paper.
Year
DOI
Venue
2008
10.1016/j.infsof.2007.10.009
Information & Software Technology
Keywords
Field
DocType
data mining,critical survey.,context-awareness,w4 model,pervasive service,autonomic pervasive service,autonomic services,context-aware pervasive service,contextual knowledge,heterogeneous contextual information,critical survey,knowledge engineering,contextual data,effective model,engineering contextual knowledge,granular computing,pervasive computing,context-aware pervasive computing,software engineering
Open research,Data mining,Contextual information,World Wide Web,Computer science,Contextual design,Context awareness,Granular computing,Knowledge engineering,Ubiquitous computing
Journal
Volume
Issue
ISSN
50
1-2
Information and Software Technology
Citations 
PageRank 
References 
11
0.62
46
Authors
3
Name
Order
Citations
PageRank
Gabriella Castelli126320.63
Marco Mamei21521106.83
Franco Zambonelli34662330.78