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Context data management: an architectural framework for context-aware services

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Abstract

Mobile devices are equipped with increasing processing power and sensing capabilities, and mobile services can benefit from these features to provide a more personalized and context-aware experience to final users. To efficiently collect and deliver context information, a proper architecture is required, where heterogeneous context information can be processed to provide higher-level context information, context data are represented uniformly, and applications can process context data with high-level queries. This paper fulfils this goal of interoperability and domain independence by defining a framework for context data management relying on open standards (XMPP and REST), acting as an enabler for third-party context-aware applications; other main novelties of our work are the definition of a ContextML for standard context data representation, and a Context Query Language (CQL) to access context information based on high-level data filtering.

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Authors and Affiliations

  1. ACE - School of Architecture, Computing and Engineering, University of East London, Docklands Campus, E16 2RD, London, UK

    Paolo Falcarin

  2. Innovation & Industry Relations - Research & Prototyping, Telecom Italia, Via Olivetti 6, 10148, Torino, Italy

    Massimo Valla, Carlo Alberto Licciardi, Cristina Frà & Luca Lamorte

  3. Faculty of Information & Communication Technologies, Swinburne University of Technology, John Street, Hawthorn, Melbourne, Australia

    Jian Yu

Authors
  1. Paolo Falcarin
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  2. Massimo Valla
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  3. Jian Yu
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  4. Carlo Alberto Licciardi
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  5. Cristina Frà
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  6. Luca Lamorte
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Correspondence to Paolo Falcarin.

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Falcarin, P., Valla, M., Yu, J. et al. Context data management: an architectural framework for context-aware services. SOCA 7, 151–168 (2013). https://doi.org/10.1007/s11761-012-0115-1

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  • DOI: https://doi.org/10.1007/s11761-012-0115-1

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