Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14515
Title: Social context-aware middleware : a survey
Authors: Liang, G
Cao, J 
Keywords: Middleware
Social context-aware
Survey
Issue Date: 2015
Publisher: Elsevier
Source: Pervasive and mobile computing, 2015, v. 17, no. PB, p. 207-219 How to cite?
Journal: Pervasive and mobile computing 
Abstract: Social context refers to a set of characteristics associated with multiple users such as social tie and group behaviours. By leveraging users' social context, social context-aware applications are able to provide seamless services accordingly, which creates a tremendous amount of economic and social value. To obtain social context, social context-aware applications need to collect and process various data over heterogeneous hardware and software platforms, which brings critical challenges for application developers. To address the above-mentioned challenges, social context-aware middleware is proposed to offer social tie inference, group detection services and thus facilitating the application development. In this paper, we provide a software architecture that contains the main services provided by a social context-aware middleware. We then systematically survey and classify the existing works on social context-aware middleware. Finally, we discuss open challenges and point out the emerging directions in designing social context-aware middleware.
URI: http://hdl.handle.net/10397/14515
ISSN: 1574-1192
EISSN: 1873-1589
DOI: 10.1016/j.pmcj.2014.12.003
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