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