SocioPlatform: A platform for social context-aware applications

Muhammad Ashad Kabir, Alan Colman, Jun Han

Research output: Book chapter/Published conference paperChapter (peer-reviewed)

Abstract

With an explosive growth in the popularity of social media and increasing prevalence and features of advanced mobile devices, interest has grown significantly in applications that are aware of users'' social context and are able to assist them in their daily activities. A key requirement of developing social context-aware applications is the platform support to reduce the complexity of engineering such applications. In this chapter, the authors present such a platform, namely SocioPlatform, to aid the development of social context-aware applications by acquiring, reasoning, storing and provisioning different types of social context information, and managing their runtime interactions and adaptation. The platform hides the complexity of managing social context, and thus assists the development of social context-aware applications. The authors demonstrate the feasibility and applicability of the platform by developing two different types of such applications.
Original languageEnglish
Title of host publicationContext in computing
Subtitle of host publicationA cross-disciplinary approach for modeling the real world
EditorsPatrick Brezillon, Avelino J. Gonzalez
Place of PublicationHeidelberg, Germany
PublisherSpringer
Chapter19
Pages291-308
Number of pages18
ISBN (Electronic)9781493918874
ISBN (Print)9781493918867
DOIs
Publication statusPublished - 2014

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    Kabir, M. A., Colman, A., & Han, J. (2014). SocioPlatform: A platform for social context-aware applications. In P. Brezillon, & A. J. Gonzalez (Eds.), Context in computing: A cross-disciplinary approach for modeling the real world (pp. 291-308). Springer. https://doi.org/10.1007/978-1-4939-1887-4_19