Paper Info
Title
An adaptive context acquisition framework to support mobile spatial and context-aware applications
Abstract
The increasing number of mobile devices allows users to access applications anytime and anywhere. In such applications, location is a key information to improve the interaction between user and services. Existing applications combine location with other context information, such as weather, user's activity, temperature, among others. However, developing context-aware applications is still a non-trivial task due to the complexity to implement context management. Additionally, existing context management infrastructures are too brittle to handle changes in the underlying execution infrastructure. In this scenario, this work proposes a context acquisition framework, which tries to reduce the development complexity of mobile spatial and context-aware applications. The framework uses tuples space and OSGi to promote uncoupling and to adapt itself according to application requirements. A proof of concept was developed in order to show how spatial and context filters can be easily implemented during the development of a tracking application.
Year
DOI
Venue
2013
10.1007/978-3-642-37087-8_8
W2GIS
Keywords
Field
DocType
mobile spatial,context filter,context information,adaptive context acquisition framework,mobile device,existing context management infrastructure,context management,development complexity,context-aware application,key information,context acquisition framework,application requirement,android,adaptation,mobility,gis
Data mining,Context management,Android (operating system),Computer science,Tuple,Proof of concept,Mobile device,Context acquisition,Database
Conference
Citations 
PageRank 
References 
5
0.67
18
Authors
5
Name
Order
Citations
PageRank
André Sales Fonteles1132.88
Benedito J. A. Neto261.03
Marcio E. F. Maia31089.29
Windson Viana420128.40
Rossana M. C. Andrade535458.76