DocumentCode :
715684
Title :
SAMAF: Situation aware mobile apps framework
Author :
Feichen Shen ; Yugyung Lee
Author_Institution :
CSEE Dept., Univ. of Missouri, Kansas City, MO, USA
fYear :
2015
fDate :
23-27 March 2015
Firstpage :
26
Lastpage :
31
Abstract :
Mobile devices have become ubiquitous, with their adoption being driven by their immediacy and sensing capabilities. Applications or apps that run on a portable computing device have recently surged in popularity. An increasing number of mobile apps and their diverse users make it difficult to select the correct app to respond to evolving situations. To address this issue, we have developed a semantic framework for mobile apps named the Situation Aware Mobile Apps Framework (SAMAF) that can achieve the goal of dynamic and automated adaptive apps for software systems responding to the mobile users´ context and environmental changes. In this paper, we have implemented the SAMAF system. An assessment of the prototype of the SAMAF system has been conducted from the perspective of performance and adaptability.
Keywords :
mobile computing; portable computers; SAMAF; automated adaptive apps; context changes; dynamic apps; environmental changes; mobile devices; portable computing device; sensing capabilities; situation aware mobile apps framework; Adaptation models; Cognition; Context; Context modeling; Mobile communication; Ontologies; Semantics; Adaptation; Aware; Context; Mobile; Siutation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
Conference_Location :
St. Louis, MO
Type :
conf
DOI :
10.1109/PERCOMW.2015.7133988
Filename :
7133988
Link To Document :
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